Spiekermann, Sarah: Online Information Search with Electronic Agents: Drivers, Impediments, and Privacy Issues

204

Appendix C. DETAILS OF THE ANALYSIS

C.1 Measures employed in the Structural Equation Model on Online Information Search

Endogenous Constructs

Measurement (questions and indices)

Interaction with Agent

Number of page requests <zh_int_A>

Time spent interacting <zz_int_A>

Standardized value of number of page requests of category survey page, questions and call for Top-10 (transition)

Standardized value of time spent on category survey page and question pages

Product Inspection

Number of page requests
<zh2_dpd>

Time spent ’inspecting‘
<zz2_dpd>

Standardized value of number of page requests for products during orientation phase 1 and during detailed inspection phase 3, including photo enlargements and Top-10 pages (excluding transitions)

Standardized value of time spent on phase 1 and phase 3

Perceived product risk before purchase

PL question, e.g. functional risk (n):How probable is it that by buying over the Internet you misjudge the functional performance of any of the 4 products, meaning that the product will not fulfill what it promises?
Compact Camera: Very improbable -15 point scale - very probable

IL question, e.g. functional risk (n): How strong would be your loss perception in case the product does not perform functionally in the way it is supposed to? Compact Camera: very low - 15 point scale - very high

Exogenous Constructs (source of measurement)

Measurement (questions and indices)


205

Purchase Involvement

Q1: How important is it for you to find in our online store today and for a 60% discount a compact camera that fulfils your expectations?

5 = very important -...-

1 = not at all important

Q2: How urgently do you need a compact camera?

4 = very urgently -...-

1 = not at all urgently

Product Class Knowledge

(Q1: Srinivasan and Ratchford, 1991; Q2: Moore and Lehmann, 1980)

How strongly fits you the following:

Q1: In comparison to the average citizen I already know quite a lot about hifi-equipment (e.g. stereos, cameras, TVs..)

Q2: I regularly advise peers in the choice of their electronics...);

5 = very true; 4 = quite true; 3 = depends; 2 = not really; 1 = not at all

Privacy Concern

(Ackermann et al., 1999)

When visiting Web sites that collect information, many people find there is some information that they generally feel comfortable providing, some information they feel comfortable providing only under certain conditions, and some information that they never or rarely feel comfortable providing. Please indicate how comfortable you would be to provide each of the following types of information to a Web site. Please check one response for each question: Q1: your first name and family name; Q2: your mail address; Q3: your e-mail address; Q4: your phone number; Q5: information on your computer, hardware and software; Q6: yours yearly income; Q7: your credit card number; Q8: information on your hobbies; Q9: information on your health or medical history; Q10: your age;

5 = I would always feel comfortable providing this information to a Web site.

4 = I would usually feel comfortable providing this information to a Web site.

3 = I would sometimes feel comfortable providing this information to a Web site.

2 =I would rarely feel comfortable providing this information to a Web site.

1 =I would never feel comfortable providing this information to a Web site.

 

Time Cost

Q1: Did you have the feeling [while being in the online store] that you had rather done something else?

Not at all - 9point scale - Yes, very much so


206

Benefit of Interaction

Q1: How well did [Luci] ’hit‘ your needs with her product suggestions?

5 = very well; 4 = quite well; 3 = sufficiently well; 2 = not really well; 1 = not at all

 

Flow

(Csikszentmihalyi et al., 1995)

Please indicate what feeling corresponds best to the condition that you perceived while you were surfing in the store:

Q1: Challenge in using the shopping interface: low - 9 point scale - high

Q2: Your ability to use the shopping interface: low - 9 point scale - high

Q3: Did you have the feeling [while being in the online store] that you had rather done something else?; Not at all - 9point scale - Yes, very much so

Q4: How well could you concentrate? Not at all - 9point scale - very well

Q5: How well could you forget yourself? Not at all - 9point scale - very well

Stage in the Buying Process

Q1: Did you collect any information about the product you signed up for [compact cameras] before you came to us here in the laboratory (e.g. did you go to a store to look at different models?); 1 = yes, I did, 2 = no, I did not

Q2: To what extend did you already know what you wanted to buy in the store before you came...

Index...


207

C.2 Output of Structural Equation Model on Online Information Search (M-Plus)

Mplus VERSION 2.01
MUTHEN & MUTHEN
07/26/2001  10:42 AM


INPUT INSTRUCTIONS


  TITLE:  MSC 2001 (Modell ohne letzterk, mit Effekt von stages auf
          product inspection)


  DATA:
    FILE IS "E:\ANALYSEN\IWA\msc2001\letzte Modellreihe\modell_D.dat";


  VARIABLE:


   NAMES ARE


  AVG10 AUSSAGE AUSSAGE2 KAUFWICH WUNSCH RISK_EMP F2
  F10C STAGES FLOW_B H_INT_A Z_INT_A H2_DPD Z2_DPD;




  USEVARIABLES ARE
    AVG10 AUSSAGE AUSSAGE2 KAUFWICH WUNSCH RISK_EMP F2
  F10C STAGES FLOW_B H_INT_A Z_INT_A H2_DPD Z2_DPD;


  MISSING ARE ALL (-999);


  ANALYSIS:


  ESTIMATOR = MLM;


  MODEL:
   involve BY kaufwich wunsch;
   pknow BY aussage aussage2;
   interaA BY z_int_A h_int_A;
   interaPD BY H2_DPD Z2_DPD;
   risk_emp ON pknow involve stages;
   interaPD ON involve pknow risk_emp f10c f2 flow_b stages;
   interaA ON involve pknow risk_emp f10c flow_b f2
   avg10 stages;
   !h_int_a WITH h2_dpd;
   z2_dpd@0;


  OUTPUT:
  STANDARDIZED;
  modindices;

208

TECH4;




MSC 2001 (Modell ohne letzterk, mit Effekt von stages auf
product inspection)


Mplus VERSION 2.01                                                  
MSC 2001 (Modell ohne letzterk, mit Effekt von stages auf


SUMMARY OF ANALYSIS


Number of groups                                1
Number of observations                        116


Number of y-variables                           9
Number of x-variables                           5
Number of continuous latent variables           4


Observed variables in the analysis
   AVG10       AUSSAGE     AUSSAGE2    KAUFWICH    WUNSCH      RISK_EMP
   F2          F10C        STAGES      FLOW_B      H_INT_A     Z_INT_A
   H2_DPD      Z2_DPD


Continuous latent variables in the analysis
   INVOLVE     PKNOW       INTERAA     INTERAPD




Estimator                                     MLM
Maximum number of iterations                 1000
Convergence criterion                   0.500D-04


Input data file(s)
  E:\ANALYSEN\IWA\msc2001\letzte Modellreihe\modell_D.dat


Input data format  FREE






THE MODEL ESTIMATION TERMINATED NORMALLY






TESTS OF MODEL FIT


Chi-Square Test of Model Fit


          Value                             51.520*
          Degrees of Freedom                    44
          P-Value                           0.2032
          Scaling Correction Factor          1.446
            for MLM



209

* The chi-square value for MLM, MLMV, WLSM and WLSMV cannot be used for
   chi-square difference tests.  MLM chi-square difference testing is
   described on page 360 in the Mplus User's Guide.


Chi-Square Test of Model Fit for the Baseline Model


          Value                            367.485
          Degrees of Freedom                    81
          P-Value                           0.0000


CFI/TLI


          CFI                                0.974
          TLI                                0.952
Mplus VERSION 2.01                                                 


MSC 2001 (Modell ohne letzterk, mit Effekt von stages auf




RMSEA (Root Mean Square Error Of Approximation)


          Estimate                           0.038


SRMR (Standardized Root Mean Square Residual)


          Value                              0.053


WRMR (Weighted Root Mean Square Residual)


          Value                              0.796














MODEL RESULTS


                   Estimates     S.E.  Est./S.E.    Std     StdYX


 INVOLVE  BY
    KAUFWICH           1.000    0.000      0.000    1.026    0.953
    WUNSCH             0.492    0.088      5.605    0.505    0.656


 PKNOW    BY
    AUSSAGE            1.000    0.000      0.000    1.041    0.989
    AUSSAGE2           0.721    0.124      5.829    0.751    0.662


 INTERAA  BY
    Z_INT_A            1.000    0.000      0.000    1.896    0.921
    H_INT_A            0.886    0.186      4.775    1.680    0.675

210

 INTERAPD BY
    H2_DPD             1.000    0.000      0.000    4.526    0.791
    Z2_DPD             0.951    0.087     10.875    4.306    1.000


 INTERAPD ON
    INVOLVE            1.620    0.442      3.664    0.367    0.367
    PKNOW              0.024    0.458      0.052    0.005    0.005


 INTERAA  ON
    INVOLVE            0.582    0.229      2.539    0.315    0.315
    PKNOW             -0.684    0.232     -2.946   -0.375   -0.375


 INTERAPD ON
    RISK_EMP           0.436    0.259      1.685    0.096    0.139
    F10C              -0.646    0.178     -3.633   -0.143   -0.299
    F2                -0.094    0.473     -0.198   -0.021   -0.018
    FLOW_B             0.684    0.390      1.753    0.151    0.164
    STAGES            -0.440    0.577     -0.762   -0.097   -0.059


 INTERAA  ON
    RISK_EMP          -0.029    0.117     -0.250   -0.015   -0.022
    F10C              -0.146    0.094     -1.545   -0.077   -0.161
    FLOW_B             0.266    0.169      1.574    0.140    0.152
    F2                -0.409    0.248     -1.650   -0.216   -0.190
    AVG10             -0.782    0.283     -2.769   -0.412   -0.259
    STAGES            -0.241    0.292     -0.828   -0.127   -0.077
Mplus VERSION 2.01                                                  






MSC 2001 (Modell ohne letzterk, mit Effekt von stages auf




 RISK_EMP ON
    PKNOW             -0.320    0.156     -2.057   -0.334   -0.232
    INVOLVE            0.023    0.146      0.158    0.024    0.016


 RISK_EMP ON
    STAGES            -0.193    0.207     -0.932   -0.193   -0.081


 PKNOW    WITH
    INVOLVE            0.380    0.111      3.415    0.355    0.355


 INTERAPD WITH
    INTERAA            1.836    0.782      2.349    0.214    0.214


 AVG10    WITH
    INVOLVE            0.062    0.058      1.074    0.061    0.096
    PKNOW             -0.035    0.054     -0.647   -0.033   -0.053


 F2       WITH

211

INVOLVE 0.006 0.074 0.085 0.006 0.007
    PKNOW             -0.063    0.072     -0.867   -0.060   -0.068


 F10C     WITH
    INVOLVE            0.202    0.232      0.870    0.197    0.094
    PKNOW             -0.096    0.199     -0.482   -0.092   -0.044


 STAGES   WITH
    INVOLVE            0.113    0.054      2.081    0.110    0.182
    PKNOW              0.134    0.052      2.554    0.129    0.213


 FLOW_B   WITH
    INVOLVE           -0.031    0.101     -0.309   -0.031   -0.028
    PKNOW              0.066    0.091      0.729    0.064    0.059


 Residual Variances
    AUSSAGE            0.025    0.163      0.152    0.025    0.022
    AUSSAGE2           0.723    0.135      5.356    0.723    0.562
    KAUFWICH           0.106    0.160      0.664    0.106    0.092
    WUNSCH             0.338    0.060      5.613    0.338    0.569
    RISK_EMP           1.938    0.226      8.577    1.938    0.935
    H_INT_A            3.378    0.546      6.187    3.378    0.545
    Z_INT_A            0.642    0.575      1.116    0.642    0.152
    H2_DPD            12.255    2.175      5.634   12.255    0.374
    Z2_DPD             0.000    0.000      0.000    0.000    0.000
    INTERAA            2.848    0.763      3.734    0.792    0.792
    INTERAPD          16.510    3.630      4.549    0.806    0.806


 Variances
    INVOLVE            1.053    0.221      4.760    1.000    1.000
    PKNOW              1.083    0.190      5.698    1.000    1.000


 Intercepts
    AUSSAGE            3.647    0.095     38.581    3.647    3.465
    AUSSAGE2           2.845    0.102     27.757    2.845    2.508
    KAUFWICH           3.353    0.097     34.496    3.353    3.114
    WUNSCH             2.362    0.071     33.186    2.362    3.067
    RISK_EMP           3.525    0.385      9.149    3.525    2.448
Mplus VERSION 2.01                                                  




MSC 2001 (Modell ohne letzterk, mit Effekt von stages auf


    H_INT_A           11.280    1.877      6.011   11.280    4.530
    Z_INT_A           11.148    1.937      5.755   11.148    5.415
    H2_DPD             7.796    3.057      2.550    7.796    1.363
    Z2_DPD             7.051    2.854      2.471    7.051    1.638




R-SQUARE


    Observed

212

Variable R-Square


    AUSSAGE      0.978
    AUSSAGE2     0.438
    KAUFWICH     0.908
    WUNSCH       0.431
    RISK_EMP     0.065
    H_INT_A      0.455
    Z_INT_A      0.848
    H2_DPD       0.626
    Z2_DPD       1.000


     Latent
    Variable  R-Square


    INTERAA      0.208
    INTERAPD     0.194




TECHNICAL 4 OUTPUT




     ESTIMATES DERIVED FROM THE MODEL




           ESTIMATED MEANS FOR THE LATENT VARIABLES
              INVOLVE       PKNOW         INTERAA       INTERAPD      RISK_EMP
              ________      ________      ________      ________      ________
      1         0.000         0.000        -3.757         0.419         3.207




           ESTIMATED MEANS FOR THE LATENT VARIABLES
              AVG10         F2            F10C          STAGES        FLOW_B
              ________      ________      ________      ________      ________
      1         3.310         3.397         6.534         1.647         6.260




           ESTIMATED COVARIANCE MATRIX FOR THE LATENT VARIABLES
              INVOLVE       PKNOW         INTERAA       INTERAPD      RISK_EMP
              ________      ________      ________      ________      ________
 INVOLVE        1.053
 PKNOW          0.380         1.083
 INTERAA        0.241        -0.457         3.596
 INTERAPD       1.461         0.536         2.558        20.485
 RISK_EMP      -0.119        -0.364         0.118         0.717         2.073
 AVG10          0.062        -0.035        -0.194         0.158         0.008
 F2             0.006        -0.063        -0.138        -0.205         0.031
 F10C           0.202        -0.096        -0.248        -1.854         0.031
Mplus VERSION 2.01                                                  




MSC 2001 (Modell ohne letzterk, mit Effekt von stages auf

213

 STAGES         0.113         0.134        -0.116        -0.052        -0.111
 FLOW_B        -0.031         0.066         0.100         0.065        -0.017




           ESTIMATED COVARIANCE MATRIX FOR THE LATENT VARIABLES
              AVG10         F2            F10C          STAGES        FLOW_B
              ________      ________      ________      ________      ________
 AVG10          0.395
 F2            -0.162         0.774
 F10C          -0.231         0.590         4.387
 STAGES         0.023        -0.058         0.025         0.366
 FLOW_B        -0.146         0.293         1.033        -0.025         1.177




           ESTIMATED CORRELATION MATRIX FOR THE LATENT VARIABLES
              INVOLVE       PKNOW         INTERAA       INTERAPD      RISK_EMP
              ________      ________      ________      ________      ________
 INVOLVE        1.000
 PKNOW          0.355         1.000
 INTERAA        0.124        -0.232         1.000
 INTERAPD       0.315         0.114         0.298         1.000
 RISK_EMP      -0.081        -0.243         0.043         0.110         1.000
 AVG10          0.096        -0.053        -0.163         0.055         0.009
 F2             0.007        -0.068        -0.083        -0.051         0.025
 F10C           0.094        -0.044        -0.062        -0.196         0.010
 STAGES         0.182         0.213        -0.101        -0.019        -0.127
 FLOW_B        -0.028         0.059         0.049         0.013        -0.011




           ESTIMATED CORRELATION MATRIX FOR THE LATENT VARIABLES
              AVG10         F2            F10C          STAGES        FLOW_B
              ________      ________      ________      ________      ________
 AVG10          1.000
 F2            -0.293         1.000
 F10C          -0.176         0.320         1.000
 STAGES         0.059        -0.109         0.020         1.000
 FLOW_B        -0.215         0.307         0.455        -0.038         1.000




     Beginning Time:  10:42:59
        Ending Time:  10:43:00
       Elapsed Time:  00:00:01






MUTHEN & MUTHEN
11965 Venice Blvd., Suite 407
Los Angeles, CA  90066


Tel: (310) 391-9971
Fax: (310) 391-8971

214

Web: www.StatModel.com
Support: Support@StatModel.com


Copyright (c) 1998-2001 Muthen & Muthen






215

C.3 Output of Structural Equation Model on Private Consumer Information Cost (M-Plus)

C.3.1 Total sample

Mplus VERSION 1.04
MUTHEN & MUTHEN
02/05/2001   2:06 PM


INPUT INSTRUCTIONS


  TITLE: Simultanes Mehrgleichungsmodell fuer die Beziehung
  zwischen IC, LEG, WICH und SCHW (mit WICH --> LEG)


  Stichprobe: alle Fragen, disaggregrierte Daten


  DATA: FILE IS dummy_all.dat;


  VARIABLE: NAMES ARE


  LEG SCHW WICH IC
  P1DUMMY P2DUMMY P3DUMMY P4DUMMY P5DUMMY P6DUMMY P8DUMMY P9DUMMY P10DUMMY
  P11DUMMY P12DUMMY P13DUMMY P14DUMMY P15DUMMY P16DUMMY P17DUMMY P18DUMMY
  P19DUMMY P20DUMMY P21DUMMY P22DUMMY P23DUMMY P24DUMMY        P25DUMMY P26DUMMY
  P27DUMMY P28DUMMY P29DUMMY P30DUMMY P31DUMMY P32DUMMY P33DUMMY P34DUMMY
  P35DUMMY P36DUMMY P37DUMMY P38DUMMY P39DUMMY;


  USEVARIABLES IC LEG WICH SCHW
  P2DUMMY P3DUMMY P4DUMMY P5DUMMY P6DUMMY P8DUMMY P9DUMMY P10DUMMY
  P11DUMMY P12DUMMY P13DUMMY P14DUMMY P15DUMMY P16DUMMY P17DUMMY P18DUMMY
  P19DUMMY P20DUMMY P21DUMMY P22DUMMY P23DUMMY P24DUMMY        P25DUMMY P26DUMMY
  P27DUMMY P28DUMMY P29DUMMY P30DUMMY P31DUMMY P32DUMMY P33DUMMY P34DUMMY
  P35DUMMY P36DUMMY P37DUMMY P38DUMMY P39DUMMY;


  ANALYSIS: TYPE IS MEANSTRUCTURE;


  MODEL:
      ic ON leg wich schw
      P2DUMMY P3DUMMY P4DUMMY P5DUMMY P6DUMMY P8DUMMY P9DUMMY P10DUMMY
      P11DUMMY P12DUMMY P13DUMMY P14DUMMY P15DUMMY P16DUMMY P17DUMMY P18DUMMY
      P19DUMMY P20DUMMY P21DUMMY P22DUMMY P23DUMMY P24DUMMY P25DUMMY P26DUMMY
      P27DUMMY P28DUMMY P29DUMMY P30DUMMY P31DUMMY P32DUMMY P33DUMMY P34DUMMY
      P35DUMMY P36DUMMY P37DUMMY P38DUMMY P39DUMMY;
      leg ON wich
      P2DUMMY P3DUMMY P4DUMMY P5DUMMY P6DUMMY P8DUMMY P9DUMMY P10DUMMY

216

P11DUMMY P12DUMMY P13DUMMY P14DUMMY P15DUMMY P16DUMMY P17DUMMY P18DUMMY
      P19DUMMY P20DUMMY P21DUMMY P22DUMMY P23DUMMY P24DUMMY P25DUMMY P26DUMMY
      P27DUMMY P28DUMMY P29DUMMY P30DUMMY P31DUMMY P32DUMMY P33DUMMY P34DUMMY
      P35DUMMY P36DUMMY P37DUMMY P38DUMMY P39DUMMY;
      [ic leg];


  OUTPUT:
     Tech4;
     Tech3;





217



Mplus VERSION 1.04                                                  PAGE    2








INPUT READING TERMINATED NORMALLY






Simultanes Mehrgleichungsmodell fuer die Beziehung
zwischen IC, LEG, WICH und SCHW (mit WICH --> LEG)


Stichprobe: alle Fragen, disaggregrierte Daten


SUMMARY OF ANALYSIS
Mplus VERSION 1.04                                                  PAGE    3
Simultanes Mehrgleichungsmodell fuer die Beziehung




Number of groups                                1
Number of observations                       4256


Number of y-variables                           2
Number of x-variables                          39
Number of continuous latent variables           0


Observed variables in the analysis
   IC          LEG         WICH        SCHW        P2DUMMY     P3DUMMY
   P4DUMMY     P5DUMMY     P6DUMMY     P8DUMMY     P9DUMMY     P10DUMMY
   P11DUMMY    P12DUMMY    P13DUMMY    P14DUMMY    P15DUMMY    P16DUMMY
   P17DUMMY    P18DUMMY    P19DUMMY    P20DUMMY    P21DUMMY    P22DUMMY
   P23DUMMY    P24DUMMY    P25DUMMY    P26DUMMY    P27DUMMY    P28DUMMY
   P29DUMMY    P30DUMMY    P31DUMMY    P32DUMMY    P33DUMMY    P34DUMMY
   P35DUMMY    P36DUMMY    P37DUMMY    P38DUMMY    P39DUMMY




Estimator                                      ML
Maximum number of iterations                 1000
Convergence criterion                    .500D-04


Input data file(s)
  dummy_all.dat


Input data format  FREE






THE MODEL ESTIMATION TERMINATED NORMALLY





218

TESTS OF MODEL FIT


Chi-Square Test of Model Fit


          Value                    1.864
          Degrees of Freedom           1
          P-Value                  .1722


Loglikelihood


          H0 Value             32004.760
          H1 Value             32005.692


Information Criteria


          Number of Free Parameters             82
          Akaike (AIC)                  -63845.520
          Bayesian (BIC)                -63324.321
          Sample-Size Adjusted BIC      -63584.883
            (n* = (n + 2) / 24)


RMSEA (Root Mean Square Error Of Approximation)


          Estimate                     .014


Mplus VERSION 1.04                                                  PAGE    4
Simultanes Mehrgleichungsmodell fuer die Beziehung


          90 Percent C.I.              .000   .046
          Probability RMSEA <= .05     .971






MODEL RESULTS


                   Estimates     S.E.  Est./S.E.


 IC       ON
    LEG                -.559     .017    -33.334
    WICH               -.010     .017      -.589
    SCHW                .138     .014      9.931
    P2DUMMY           -1.253     .279     -4.492
    P3DUMMY            1.864     .280      6.651
    P4DUMMY             .512     .283      1.813
    P5DUMMY           -3.194     .282    -11.337
    P6DUMMY             .424     .281      1.508
    P8DUMMY             .041     .279       .148
    P9DUMMY            1.175     .280      4.199
    P10DUMMY          -1.137     .279     -4.067
    P11DUMMY           -.713     .286     -2.492
    P12DUMMY            .610     .280      2.178

219

P13DUMMY 1.531 .279 5.494
    P14DUMMY           -.739     .278     -2.661
    P15DUMMY          -1.789     .278     -6.426
    P16DUMMY          -1.500     .279     -5.375
    P17DUMMY            .516     .282      1.825
    P18DUMMY          -2.910     .279    -10.416
    P19DUMMY          -3.861     .282    -13.704
    P20DUMMY            .541     .280      1.929
    P21DUMMY           -.118     .279      -.422
    P22DUMMY           -.019     .280      -.067
    P23DUMMY          -1.390     .282     -4.923
    P24DUMMY           -.128     .279      -.460
    P25DUMMY           1.381     .278      4.959
    P26DUMMY          -1.209     .279     -4.337
    P27DUMMY            .684     .278      2.457
    P28DUMMY           -.809     .279     -2.902
    P29DUMMY            .482     .281      1.715
    P30DUMMY          -4.318     .282    -15.289
    P31DUMMY            .248     .282       .878
    P32DUMMY          -1.572     .279     -5.635
    P33DUMMY           -.893     .279     -3.198
    P34DUMMY          -1.284     .278     -4.620
    P35DUMMY           -.711     .280     -2.544
    P36DUMMY            .429     .282      1.521
    P37DUMMY           1.737     .282      6.149
    P38DUMMY           1.342     .279      4.809
    P39DUMMY            .821     .279      2.947


 LEG      ON
    WICH                .875     .009    101.396
    P2DUMMY            -.113     .254      -.444
    P3DUMMY             .119     .256       .465
    P4DUMMY             .110     .258       .427
    P5DUMMY            1.271     .256      4.959

220

Mplus VERSION 1.04                                                  PAGE    5
Simultanes Mehrgleichungsmodell fuer die Beziehung


    P6DUMMY            2.477     .254      9.738
    P8DUMMY             .373     .254      1.468
    P9DUMMY            -.530     .254     -2.086
    P10DUMMY            .871     .255      3.416
    P11DUMMY           3.740     .255     14.668
    P12DUMMY           1.298     .255      5.087
    P13DUMMY           -.929     .254     -3.660
    P14DUMMY            .328     .254      1.294
    P15DUMMY           -.396     .254     -1.559
    P16DUMMY            .920     .255      3.613
    P17DUMMY           -.453     .257     -1.763
    P18DUMMY            .376     .255      1.475
    P19DUMMY            .102     .256       .398
    P20DUMMY           -.211     .255      -.826
    P21DUMMY           -.408     .255     -1.600
    P22DUMMY            .006     .256       .025
    P23DUMMY           1.415     .256      5.535
    P24DUMMY            .759     .254      2.985
    P25DUMMY            .472     .254      1.854
    P26DUMMY            .074     .255       .291
    P27DUMMY            .214     .254       .841
    P28DUMMY           -.859     .254     -3.377
    P29DUMMY           1.578     .256      6.165
    P30DUMMY           1.212     .257      4.715
    P31DUMMY            .365     .256      1.426
    P32DUMMY           -.138     .255      -.542
    P33DUMMY            .368     .255      1.442
    P34DUMMY            .091     .254       .358
    P35DUMMY            .312     .255      1.222
    P36DUMMY           1.058     .257      4.112
    P37DUMMY           -.787     .255     -3.082
    P38DUMMY            .436     .255      1.709
    P39DUMMY            .225     .254       .884


 Residual Variances
    IC                 4.314     .094     46.130
    LEG                3.605     .078     46.130


 Intercepts
    IC                 6.649     .216     30.848
    LEG                 .876     .193      4.549


TECHNICAL 3 OUTPUT






             ESTIMATED COV. MATRIX FOR PARAMETER ESTIMATES
                  1             2             3             4             5

221

________ ________ ________ ________ ________
      1          .046
      2          .000          .037
      3          .000          .000          .000
      4         -.001          .000          .000          .000
      5         -.001          .000          .000          .000          .000
      6         -.041          .000          .000          .000          .000
      7         -.042          .000          .000          .000          .000
      8         -.043          .000          .000          .001          .000
      9         -.042          .000          .000          .001          .000
     10         -.040          .000         -.001          .001          .000
     11         -.039          .000          .000          .000          .000
     12         -.039          .000          .000          .000          .000
     13         -.040          .000          .000          .000          .000
     14         -.039          .000         -.001          .001          .000
     15         -.041          .000          .000          .001          .000
     16         -.040          .000          .000          .000          .000
     17         -.040          .000          .000          .000          .000
     18         -.040          .000          .000          .000          .000
     19         -.040          .000          .000          .000          .000
     20         -.041          .000          .000          .000          .000
     21         -.041          .000          .000          .000          .000
     22         -.043          .000          .000          .000          .000
     23         -.040          .000          .000          .000          .000
     24         -.041          .000          .000          .000          .000
     25         -.041          .000          .000          .000          .000
     26         -.042          .000          .000          .001          .000
     27         -.039          .000          .000          .000          .000
     28         -.040          .000          .000          .000          .000
     29         -.041          .000          .000          .000          .000
     30         -.040          .000          .000          .000          .000
     31         -.040          .000          .000          .000          .000
     32         -.041          .000          .000          .001          .000
     33         -.041          .000          .000          .001          .000
     34         -.040          .000          .000          .000          .000
     35         -.040          .000          .000          .000          .000
     36         -.040          .000          .000          .000          .000
     37         -.039          .000          .000          .000          .000
     38         -.040          .000          .000          .000          .000
     39         -.042          .000          .000          .001          .000
     40         -.039          .000          .000          .000         -.001
     41         -.041          .000          .000          .000          .000
     42         -.040          .000          .000          .000          .000
     43          .000         -.001          .000          .000          .000
     44          .000         -.033          .000          .000          .000
     45          .000         -.035          .000          .000          .000
     46          .000         -.035          .000          .000          .000
     47          .000         -.035          .000          .000          .000
     48          .000         -.033          .000          .000          .000
     49          .000         -.034          .000          .000          .000
     50          .000         -.033          .000          .000          .000
     51          .000         -.034          .000          .000          .000

222

52 .000 -.034 .000 .000 .000
     53          .000         -.034          .000          .000          .000
     54          .000         -.033          .000          .000          .000
     55          .000         -.033          .000          .000          .000
     56          .000         -.033          .000          .000          .000
     57          .000         -.034          .000          .000          .000
     58          .000         -.035          .000          .000          .000
     59          .000         -.034          .000          .000          .000
     60          .000         -.035          .000          .000          .000
     61          .000         -.034          .000          .000          .000
     62          .000         -.034          .000          .000          .000
     63          .000         -.035          .000          .000          .000
     64          .000         -.034          .000          .000          .000
     65          .000         -.033          .000          .000          .000
     66          .000         -.034          .000          .000          .000
     67          .000         -.034          .000          .000          .000
     68          .000         -.033          .000          .000          .000
     69          .000         -.033          .000          .000          .000
     70          .000         -.035          .000          .000          .000
     71          .000         -.035          .000          .000          .000
     72          .000         -.035          .000          .000          .000
     73          .000         -.034          .000          .000          .000
     74          .000         -.034          .000          .000          .000
     75          .000         -.033          .000          .000          .000
     76          .000         -.034          .000          .000          .000
     77          .000         -.035          .000          .000          .000
     78          .000         -.034          .000          .000          .000
     79          .000         -.034          .000          .000          .000
     80          .000         -.034          .000          .000          .000
     81          .000          .000          .000          .000          .000
     82          .000          .000          .000          .000          .000




             ESTIMATED COV. MATRIX FOR PARAMETER ESTIMATES
                  6             7             8             9            10
              ________      ________      ________      ________      ________
      6          .078
      7          .039          .079
      8          .040          .041          .080
      9          .040          .040          .041          .079
     10          .039          .039          .040          .040          .079
     11          .039          .039          .039          .039          .039
     12          .038          .039          .039          .038          .038
     13          .039          .039          .040          .040          .040
     14          .039          .040          .040          .041          .042
     15          .039          .040          .040          .040          .040
     16          .039          .039          .039          .039          .038
     17          .039          .039          .039          .039          .039
     18          .039          .039          .040          .039          .039
     19          .039          .039          .040          .040          .040
     20          .039          .040          .040          .040          .039
     21          .039          .040          .040          .040          .039

223

22 .040 .040 .041 .041 .040
     23          .039          .039          .040          .039          .039
     24          .039          .040          .040          .040          .039
     25          .039          .040          .040          .040          .039
     26          .040          .040          .041          .041          .040
     27          .039          .039          .039          .039          .039
     28          .039          .039          .040          .039          .039
     29          .039          .040          .040          .040          .039
     30          .039          .039          .039          .039          .039
     31          .039          .039          .039          .039          .038
     32          .039          .040          .040          .040          .040
     33          .039          .040          .041          .040          .040
     34          .039          .040          .040          .040          .039
     35          .039          .039          .040          .039          .039
     36          .039          .039          .040          .039          .039
     37          .038          .039          .039          .039          .039
     38          .039          .039          .040          .039          .039
     39          .039          .040          .041          .041          .040
     40          .038          .039          .039          .039          .038
     41          .039          .040          .040          .040          .039
     42          .039          .039          .039          .039          .039
     43          .000          .000          .000          .000          .000
     44          .000          .000          .000          .000          .000
     45          .000          .000          .000          .000          .000
     46          .000          .000          .000          .000          .000
     47          .000          .000          .000          .000          .000
     48          .000          .000          .000          .000          .000
     49          .000          .000          .000          .000          .000
     50          .000          .000          .000          .000          .000
     51          .000          .000          .000          .000          .000
     52          .000          .000          .000          .000          .000
     53          .000          .000          .000          .000          .000
     54          .000          .000          .000          .000          .000
     55          .000          .000          .000          .000          .000
     56          .000          .000          .000          .000          .000
     57          .000          .000          .000          .000          .000
     58          .000          .000          .000          .000          .000
     59          .000          .000          .000          .000          .000
     60          .000          .000          .000          .000          .000
     61          .000          .000          .000          .000          .000
     62          .000          .000          .000          .000          .000
     63          .000          .000          .000          .000          .000
     64          .000          .000          .000          .000          .000
     65          .000          .000          .000          .000          .000
     66          .000          .000          .000          .000          .000
     67          .000          .000          .000          .000          .000
     68          .000          .000          .000          .000          .000
     69          .000          .000          .000          .000          .000
     70          .000          .000          .000          .000          .000
     71          .000          .000          .000          .000          .000
     72          .000          .000          .000          .000          .000
     73          .000          .000          .000          .000          .000

224

74 .000 .000 .000 .000 .000
     75          .000          .000          .000          .000          .000
     76          .000          .000          .000          .000          .000
     77          .000          .000          .000          .000          .000
     78          .000          .000          .000          .000          .000
     79          .000          .000          .000          .000          .000
     80          .000          .000          .000          .000          .000
     81          .000          .000          .000          .000          .000
     82          .000          .000          .000          .000          .000




             ESTIMATED COV. MATRIX FOR PARAMETER ESTIMATES
                 11            12            13            14            15
              ________      ________      ________      ________      ________
     11          .078
     12          .039          .078
     13          .039          .039          .078
     14          .040          .039          .040          .082
     15          .039          .039          .040          .041          .078
     16          .038          .038          .038          .038          .039
     17          .039          .038          .039          .039          .039
     18          .039          .039          .039          .038          .039
     19          .039          .039          .039          .040          .039
     20          .040          .040          .040          .040          .039
     21          .039          .038          .039          .039          .040
     22          .039          .038          .039          .039          .040
     23          .039          .040          .040          .039          .039
     24          .039          .039          .039          .039          .039
     25          .039          .039          .040          .040          .040
     26          .039          .038          .039          .041          .040
     27          .039          .039          .039          .040          .039
     28          .039          .039          .039          .040          .039
     29          .039          .039          .039          .039          .039
     30          .039          .039          .039          .039          .039
     31          .039          .039          .039          .038          .039
     32          .040          .039          .040          .041          .040
     33          .040          .040          .040          .041          .040
     34          .040          .040          .040          .040          .040
     35          .039          .039          .039          .039          .039
     36          .039          .039          .039          .040          .039
     37          .039          .039          .039          .039          .039
     38          .039          .040          .040          .040          .039
     39          .040          .039          .040          .041          .040
     40          .040          .040          .040          .039          .039
     41          .039          .039          .039          .040          .040
     42          .039          .039          .039          .039          .039
     43          .000          .000          .000          .000          .000
     44          .000          .000          .000          .000          .000
     45          .000          .000          .000          .000          .000
     46          .000          .000          .000          .000          .000
     47          .000          .000          .000          .000          .000
     48          .000          .000          .000          .000          .000

225

49 .000 .000 .000 .000 .000
     50          .000          .000          .000          .000          .000
     51          .000          .000          .000          .000          .000
     52          .000          .000          .000          .000          .000
     53          .000          .000          .000          .000          .000
     54          .000          .000          .000          .000          .000
     55          .000          .000          .000          .000          .000
     56          .000          .000          .000          .000          .000
     57          .000          .000          .000          .000          .000
     58          .000          .000          .000          .000          .000
     59          .000          .000          .000          .000          .000
     60          .000          .000          .000          .000          .000
     61          .000          .000          .000          .000          .000
     62          .000          .000          .000          .000          .000
     63          .000          .000          .000          .000          .000
     64          .000          .000          .000          .000          .000
     65          .000          .000          .000          .000          .000
     66          .000          .000          .000          .000          .000
     67          .000          .000          .000          .000          .000
     68          .000          .000          .000          .000          .000
     69          .000          .000          .000          .000          .000
     70          .000          .000          .000          .000          .000
     71          .000          .000          .000          .000          .000
     72          .000          .000          .000          .000          .000
     73          .000          .000          .000          .000          .000
     74          .000          .000          .000          .000          .000
     75          .000          .000          .000          .000          .000
     76          .000          .000          .000          .000          .000
     77          .000          .000          .000          .000          .000
     78          .000          .000          .000          .000          .000
     79          .000          .000          .000          .000          .000
     80          .000          .000          .000          .000          .000
     81          .000          .000          .000          .000          .000
     82          .000          .000          .000          .000          .000




             ESTIMATED COV. MATRIX FOR PARAMETER ESTIMATES
                 16            17            18            19            20
              ________      ________      ________      ________      ________
     16          .078
     17          .039          .077
     18          .039          .039          .078
     19          .038          .039          .039          .078
     20          .039          .039          .039          .040          .080
     21          .039          .039          .039          .039          .039
     22          .039          .039          .040          .039          .039
     23          .039          .039          .039          .039          .041
     24          .039          .039          .039          .039          .040
     25          .039          .039          .039          .039          .040
     26          .039          .039          .039          .039          .039
     27          .038          .039          .039          .039          .039
     28          .039          .039          .039          .039          .039

226

29 .039 .039 .039 .039 .039
     30          .039          .039          .039          .039          .040
     31          .039          .039          .039          .039          .040
     32          .038          .039          .039          .040          .040
     33          .038          .039          .039          .040          .041
     34          .038          .039          .039          .040          .041
     35          .039          .039          .039          .039          .040
     36          .039          .039          .039          .039          .040
     37          .038          .039          .039          .039          .039
     38          .038          .039          .039          .039          .040
     39          .039          .039          .039          .040          .040
     40          .038          .038          .039          .039          .041
     41          .039          .039          .039          .039          .039
     42          .039          .039          .039          .039          .040
     43          .000          .000          .000          .000          .000
     44          .000          .000          .000          .000          .000
     45          .000          .000          .000          .000          .000
     46          .000          .000          .000          .000          .000
     47          .000          .000          .000          .000          .000
     48          .000          .000          .000          .000          .000
     49          .000          .000          .000          .000          .000
     50          .000          .000          .000          .000          .000
     51          .000          .000          .000          .000          .000
     52          .000          .000          .000          .000          .000
     53          .000          .000          .000          .000          .000
     54          .000          .000          .000          .000          .000
     55          .000          .000          .000          .000          .000
     56          .000          .000          .000          .000          .000
     57          .000          .000          .000          .000          .000
     58          .000          .000          .000          .000          .000
     59          .000          .000          .000          .000          .000
     60          .000          .000          .000          .000          .000
     61          .000          .000          .000          .000          .000
     62          .000          .000          .000          .000          .000
     63          .000          .000          .000          .000          .000
     64          .000          .000          .000          .000          .000
     65          .000          .000          .000          .000          .000
     66          .000          .000          .000          .000          .000
     67          .000          .000          .000          .000          .000
     68          .000          .000          .000          .000          .000
     69          .000          .000          .000          .000          .000
     70          .000          .000          .000          .000          .000
     71          .000          .000          .000          .000          .000
     72          .000          .000          .000          .000          .000
     73          .000          .000          .000          .000          .000
     74          .000          .000          .000          .000          .000
     75          .000          .000          .000          .000          .000
     76          .000          .000          .000          .000          .000
     77          .000          .000          .000          .000          .000
     78          .000          .000          .000          .000          .000
     79          .000          .000          .000          .000          .000
     80          .000          .000          .000          .000          .000

227

81 .000 .000 .000 .000 .000
     82          .000          .000          .000          .000          .000




             ESTIMATED COV. MATRIX FOR PARAMETER ESTIMATES
                 21            22            23            24            25
              ________      ________      ________      ________      ________
     21          .078
     22          .040          .079
     23          .039          .039          .079
     24          .039          .040          .039          .078
     25          .039          .040          .040          .040          .078
     26          .040          .041          .039          .039          .040
     27          .039          .039          .039          .039          .039
     28          .039          .039          .039          .039          .039
     29          .039          .040          .039          .039          .039
     30          .039          .039          .039          .039          .039
     31          .039          .039          .039          .039          .039
     32          .039          .040          .040          .039          .040
     33          .039          .040          .040          .040          .040
     34          .039          .039          .040          .040          .040
     35          .039          .039          .040          .039          .040
     36          .039          .039          .040          .039          .040
     37          .038          .038          .039          .039          .039
     38          .039          .039          .040          .039          .040
     39          .040          .041          .040          .040          .040
     40          .038          .039          .040          .040          .040
     41          .039          .040          .039          .039          .039
     42          .039          .039          .039          .039          .039
     43          .000          .000          .000          .000          .000
     44          .000          .000          .000          .000          .000
     45          .000          .000          .000          .000          .000
     46          .000          .000          .000          .000          .000
     47          .000          .000          .000          .000          .000
     48          .000          .000          .000          .000          .000
     49          .000          .000          .000          .000          .000
     50          .000          .000          .000          .000          .000
     51          .000          .000          .000          .000          .000
     52          .000          .000          .000          .000          .000
     53          .000          .000          .000          .000          .000
     54          .000          .000          .000          .000          .000
     55          .000          .000          .000          .000          .000
     56          .000          .000          .000          .000          .000
     57          .000          .000          .000          .000          .000
     58          .000          .000          .000          .000          .000
     59          .000          .000          .000          .000          .000
     60          .000          .000          .000          .000          .000
     61          .000          .000          .000          .000          .000
     62          .000          .000          .000          .000          .000
     63          .000          .000          .000          .000          .000
     64          .000          .000          .000          .000          .000
     65          .000          .000          .000          .000          .000

228

66 .000 .000 .000 .000 .000
     67          .000          .000          .000          .000          .000
     68          .000          .000          .000          .000          .000
     69          .000          .000          .000          .000          .000
     70          .000          .000          .000          .000          .000
     71          .000          .000          .000          .000          .000
     72          .000          .000          .000          .000          .000
     73          .000          .000          .000          .000          .000
     74          .000          .000          .000          .000          .000
     75          .000          .000          .000          .000          .000
     76          .000          .000          .000          .000          .000
     77          .000          .000          .000          .000          .000
     78          .000          .000          .000          .000          .000
     79          .000          .000          .000          .000          .000
     80          .000          .000          .000          .000          .000
     81          .000          .000          .000          .000          .000
     82          .000          .000          .000          .000          .000




             ESTIMATED COV. MATRIX FOR PARAMETER ESTIMATES
                 26            27            28            29            30
              ________      ________      ________      ________      ________
     26          .080
     27          .039          .078
     28          .039          .039          .078
     29          .040          .039          .039          .078
     30          .039          .039          .039          .039          .078
     31          .039          .039          .039          .039          .039
     32          .040          .040          .039          .039          .039
     33          .040          .040          .040          .040          .040
     34          .039          .040          .039          .039          .040
     35          .039          .039          .039          .039          .039
     36          .039          .039          .039          .039          .039
     37          .038          .039          .039          .039          .039
     38          .039          .039          .039          .039          .039
     39          .041          .039          .040          .040          .040
     40          .038          .039          .039          .039          .039
     41          .040          .039          .039          .039          .039
     42          .039          .039          .039          .039          .039
     43          .000          .000          .000          .000          .000
     44          .000          .000          .000          .000          .000
     45          .000          .000          .000          .000          .000
     46          .000          .000          .000          .000          .000
     47          .000          .000          .000          .000          .000
     48          .000          .000          .000          .000          .000
     49          .000          .000          .000          .000          .000
     50          .000          .000          .000          .000          .000
     51          .000          .000          .000          .000          .000
     52          .000          .000          .000          .000          .000
     53          .000          .000          .000          .000          .000
     54          .000          .000          .000          .000          .000
     55          .000          .000          .000          .000          .000

229

56 .000 .000 .000 .000 .000
     57          .000          .000          .000          .000          .000
     58          .000          .000          .000          .000          .000
     59          .000          .000          .000          .000          .000
     60          .000          .000          .000          .000          .000
     61          .000          .000          .000          .000          .000
     62          .000          .000          .000          .000          .000
     63          .000          .000          .000          .000          .000
     64          .000          .000          .000          .000          .000
     65          .000          .000          .000          .000          .000
     66          .000          .000          .000          .000          .000
     67          .000          .000          .000          .000          .000
     68          .000          .000          .000          .000          .000
     69          .000          .000          .000          .000          .000
     70          .000          .000          .000          .000          .000
     71          .000          .000          .000          .000          .000
     72          .000          .000          .000          .000          .000
     73          .000          .000          .000          .000          .000
     74          .000          .000          .000          .000          .000
     75          .000          .000          .000          .000          .000
     76          .000          .000          .000          .000          .000
     77          .000          .000          .000          .000          .000
     78          .000          .000          .000          .000          .000
     79          .000          .000          .000          .000          .000
     80          .000          .000          .000          .000          .000
     81          .000          .000          .000          .000          .000
     82          .000          .000          .000          .000          .000




             ESTIMATED COV. MATRIX FOR PARAMETER ESTIMATES
                 31            32            33            34            35
              ________      ________      ________      ________      ________
     31          .078
     32          .039          .079
     33          .039          .041          .080
     34          .039          .040          .041          .080
     35          .039          .040          .040          .040          .078
     36          .039          .040          .040          .040          .039
     37          .039          .039          .039          .039          .039
     38          .039          .040          .040          .040          .039
     39          .039          .041          .041          .040          .040
     40          .040          .040          .040          .041          .040
     41          .039          .040          .040          .039          .039
     42          .039          .039          .040          .040          .039
     43          .000          .000          .000          .000          .000
     44          .000          .000          .000          .000          .000
     45          .000          .000          .000          .000          .000
     46          .000          .000          .000          .000          .000
     47          .000          .000          .000          .000          .000
     48          .000          .000          .000          .000          .000
     49          .000          .000          .000          .000          .000
     50          .000          .000          .000          .000          .000

230

51 .000 .000 .000 .000 .000
     52          .000          .000          .000          .000          .000
     53          .000          .000          .000          .000          .000
     54          .000          .000          .000          .000          .000
     55          .000          .000          .000          .000          .000
     56          .000          .000          .000          .000          .000
     57          .000          .000          .000          .000          .000
     58          .000          .000          .000          .000          .000
     59          .000          .000          .000          .000          .000
     60          .000          .000          .000          .000          .000
     61          .000          .000          .000          .000          .000
     62          .000          .000          .000          .000          .000
     63          .000          .000          .000          .000          .000
     64          .000          .000          .000          .000          .000
     65          .000          .000          .000          .000          .000
     66          .000          .000          .000          .000          .000
     67          .000          .000          .000          .000          .000
     68          .000          .000          .000          .000          .000
     69          .000          .000          .000          .000          .000
     70          .000          .000          .000          .000          .000
     71          .000          .000          .000          .000          .000
     72          .000          .000          .000          .000          .000
     73          .000          .000          .000          .000          .000
     74          .000          .000          .000          .000          .000
     75          .000          .000          .000          .000          .000
     76          .000          .000          .000          .000          .000
     77          .000          .000          .000          .000          .000
     78          .000          .000          .000          .000          .000
     79          .000          .000          .000          .000          .000
     80          .000          .000          .000          .000          .000
     81          .000          .000          .000          .000          .000
     82          .000          .000          .000          .000          .000




             ESTIMATED COV. MATRIX FOR PARAMETER ESTIMATES
                 36            37            38            39            40
              ________      ________      ________      ________      ________
     36          .078
     37          .039          .077
     38          .040          .039          .078
     39          .040          .039          .040          .080
     40          .040          .039          .040          .040          .080
     41          .039          .039          .039          .040          .039
     42          .039          .039          .039          .040          .039
     43          .000          .000          .000          .000          .000
     44          .000          .000          .000          .000          .000
     45          .000          .000          .000          .000          .000
     46          .000          .000          .000          .000          .000
     47          .000          .000          .000          .000          .000
     48          .000          .000          .000          .000          .000
     49          .000          .000          .000          .000          .000
     50          .000          .000          .000          .000          .000

231

51 .000 .000 .000 .000 .000
     52          .000          .000          .000          .000          .000
     53          .000          .000          .000          .000          .000
     54          .000          .000          .000          .000          .000
     55          .000          .000          .000          .000          .000
     56          .000          .000          .000          .000          .000
     57          .000          .000          .000          .000          .000
     58          .000          .000          .000          .000          .000
     59          .000          .000          .000          .000          .000
     60          .000          .000          .000          .000          .000
     61          .000          .000          .000          .000          .000
     62          .000          .000          .000          .000          .000
     63          .000          .000          .000          .000          .000
     64          .000          .000          .000          .000          .000
     65          .000          .000          .000          .000          .000
     66          .000          .000          .000          .000          .000
     67          .000          .000          .000          .000          .000
     68          .000          .000          .000          .000          .000
     69          .000          .000          .000          .000          .000
     70          .000          .000          .000          .000          .000
     71          .000          .000          .000          .000          .000
     72          .000          .000          .000          .000          .000
     73          .000          .000          .000          .000          .000
     74          .000          .000          .000          .000          .000
     75          .000          .000          .000          .000          .000
     76          .000          .000          .000          .000          .000
     77          .000          .000          .000          .000          .000
     78          .000          .000          .000          .000          .000
     79          .000          .000          .000          .000          .000
     80          .000          .000          .000          .000          .000
     81          .000          .000          .000          .000          .000
     82          .000          .000          .000          .000          .000




             ESTIMATED COV. MATRIX FOR PARAMETER ESTIMATES
                 41            42            43            44            45
              ________      ________      ________      ________      ________
     41          .078
     42          .039          .078
     43          .000          .000          .000
     44          .000          .000          .000          .065
     45          .000          .000          .000          .033          .066
     46          .000          .000          .000          .033          .034
     47          .000          .000          .000          .033          .033
     48          .000          .000          .000          .033          .033
     49          .000          .000          .000          .033          .033
     50          .000          .000          .000          .032          .033
     51          .000          .000          .000          .033          .033
     52          .000          .000          .000          .033          .033
     53          .000          .000          .000          .033          .033
     54          .000          .000          .000          .032          .033
     55          .000          .000          .000          .032          .033

232

56 .000 .000 .000 .032 .033
     57          .000          .000          .000          .033          .033
     58          .000          .000          .000          .033          .034
     59          .000          .000          .000          .033          .033
     60          .000          .000          .000          .033          .033
     61          .000          .000          .000          .033          .033
     62          .000          .000          .000          .033          .033
     63          .000          .000          .000          .033          .033
     64          .000          .000          .000          .033          .033
     65          .000          .000          .000          .032          .033
     66          .000          .000          .000          .033          .033
     67          .000          .000          .000          .033          .033
     68          .000          .000          .000          .033          .033
     69          .000          .000          .000          .032          .033
     70          .000          .000          .000          .033          .033
     71          .000          .000          .000          .033          .034
     72          .000          .000          .000          .033          .033
     73          .000          .000          .000          .033          .033
     74          .000          .000          .000          .033          .033
     75          .000          .000          .000          .032          .032
     76          .000          .000          .000          .033          .033
     77          .000          .000          .000          .033          .034
     78          .000          .000          .000          .033          .033
     79          .000          .000          .000          .033          .033
     80          .000          .000          .000          .033          .033
     81          .000          .000          .000          .000          .000
     82          .000          .000          .000          .000          .000




             ESTIMATED COV. MATRIX FOR PARAMETER ESTIMATES
                 46            47            48            49            50
              ________      ________      ________      ________      ________
     46          .067
     47          .034          .066
     48          .033          .033          .065
     49          .033          .033          .033          .065
     50          .033          .033          .032          .033          .065
     51          .033          .033          .033          .033          .033
     52          .033          .033          .033          .033          .033
     53          .033          .033          .033          .033          .033
     54          .033          .033          .032          .032          .032
     55          .033          .033          .032          .032          .032
     56          .033          .033          .033          .033          .032
     57          .033          .033          .033          .033          .033
     58          .034          .034          .033          .033          .033
     59          .033          .033          .033          .033          .033
     60          .034          .033          .033          .033          .033
     61          .033          .033          .033          .033          .033
     62          .033          .033          .033          .033          .033
     63          .034          .033          .033          .033          .033
     64          .034          .033          .033          .033          .033
     65          .033          .033          .032          .032          .032

233

66 .033 .033 .033 .033 .032
     67          .033          .033          .033          .033          .033
     68          .033          .033          .033          .033          .032
     69          .033          .033          .032          .033          .032
     70          .034          .033          .033          .033          .033
     71          .034          .034          .033          .033          .033
     72          .034          .033          .033          .033          .033
     73          .033          .033          .033          .033          .033
     74          .033          .033          .033          .033          .033
     75          .033          .032          .032          .032          .032
     76          .033          .033          .033          .033          .033
     77          .034          .034          .033          .033          .033
     78          .034          .033          .033          .033          .033
     79          .033          .033          .033          .033          .033
     80          .033          .033          .033          .033          .033
     81          .000          .000          .000          .000          .000
     82          .000          .000          .000          .000          .000




             ESTIMATED COV. MATRIX FOR PARAMETER ESTIMATES
                 51            52            53            54            55
              ________      ________      ________      ________      ________
     51          .065
     52          .033          .065
     53          .033          .033          .065
     54          .032          .032          .032          .064
     55          .032          .032          .032          .032          .064
     56          .033          .033          .033          .032          .032
     57          .033          .033          .033          .032          .032
     58          .033          .033          .033          .033          .033
     59          .033          .033          .033          .032          .032
     60          .033          .033          .033          .033          .033
     61          .033          .033          .033          .032          .032
     62          .033          .033          .033          .032          .032
     63          .033          .033          .033          .033          .033
     64          .033          .033          .033          .033          .032
     65          .033          .033          .033          .032          .032
     66          .033          .033          .033          .032          .032
     67          .033          .033          .033          .032          .032
     68          .033          .033          .033          .032          .032
     69          .033          .033          .033          .032          .032
     70          .033          .033          .033          .033          .033
     71          .033          .033          .033          .033          .033
     72          .033          .033          .033          .033          .033
     73          .033          .033          .033          .032          .032
     74          .033          .033          .033          .032          .032
     75          .032          .032          .032          .032          .032
     76          .033          .033          .033          .032          .032
     77          .033          .033          .033          .033          .033
     78          .033          .033          .033          .032          .032
     79          .033          .033          .033          .032          .032
     80          .033          .033          .033          .032          .032

234

81 .000 .000 .000 .000 .000
     82          .000          .000          .000          .000          .000




             ESTIMATED COV. MATRIX FOR PARAMETER ESTIMATES
                 56            57            58            59            60
              ________      ________      ________      ________      ________
     56          .065
     57          .033          .065
     58          .033          .033          .066
     59          .033          .033          .033          .065
     60          .033          .033          .034          .033          .066
     61          .033          .033          .033          .033          .033
     62          .033          .033          .033          .033          .033
     63          .033          .033          .034          .033          .033
     64          .033          .033          .033          .033          .033
     65          .032          .033          .033          .033          .033
     66          .033          .033          .033          .033          .033
     67          .033          .033          .033          .033          .033
     68          .033          .033          .033          .033          .033
     69          .032          .033          .033          .033          .033
     70          .033          .033          .034          .033          .033
     71          .033          .033          .034          .033          .034
     72          .033          .033          .034          .033          .033
     73          .033          .033          .033          .033          .033
     74          .033          .033          .033          .033          .033
     75          .032          .032          .032          .032          .032
     76          .033          .033          .033          .033          .033
     77          .033          .033          .034          .033          .034
     78          .033          .033          .033          .033          .033
     79          .033          .033          .033          .033          .033
     80          .033          .033          .033          .033          .033
     81          .000          .000          .000          .000          .000
     82          .000          .000          .000          .000          .000




             ESTIMATED COV. MATRIX FOR PARAMETER ESTIMATES
                 61            62            63            64            65
              ________      ________      ________      ________      ________
     61          .065
     62          .033          .065
     63          .033          .033          .066
     64          .033          .033          .033          .065
     65          .033          .033          .033          .033          .065
     66          .033          .033          .033          .033          .032
     67          .033          .033          .033          .033          .033
     68          .033          .033          .033          .033          .032
     69          .033          .033          .033          .033          .032
     70          .033          .033          .033          .033          .033
     71          .033          .033          .034          .033          .033
     72          .033          .033          .033          .033          .033
     73          .033          .033          .033          .033          .033

235

74 .033 .033 .033 .033 .033
     75          .032          .032          .032          .032          .032
     76          .033          .033          .033          .033          .033
     77          .033          .033          .034          .034          .033
     78          .033          .033          .033          .033          .033
     79          .033          .033          .033          .033          .033
     80          .033          .033          .033          .033          .032
     81          .000          .000          .000          .000          .000
     82          .000          .000          .000          .000          .000




             ESTIMATED COV. MATRIX FOR PARAMETER ESTIMATES
                 66            67            68            69            70
              ________      ________      ________      ________      ________
     66          .065
     67          .033          .065
     68          .033          .033          .065
     69          .032          .033          .032          .065
     70          .033          .033          .033          .033          .066
     71          .033          .033          .033          .033          .034
     72          .033          .033          .033          .033          .033
     73          .033          .033          .033          .033          .033
     74          .033          .033          .033          .033          .033
     75          .032          .032          .032          .032          .032
     76          .033          .033          .033          .033          .033
     77          .033          .033          .033          .033          .034
     78          .033          .033          .033          .033          .033
     79          .033          .033          .033          .033          .033
     80          .033          .033          .033          .033          .033
     81          .000          .000          .000          .000          .000
     82          .000          .000          .000          .000          .000




             ESTIMATED COV. MATRIX FOR PARAMETER ESTIMATES
                 71            72            73            74            75
              ________      ________      ________      ________      ________
     71          .066
     72          .034          .066
     73          .033          .033          .065
     74          .033          .033          .033          .065
     75          .033          .032          .032          .032          .064
     76          .033          .033          .033          .033          .032
     77          .034          .034          .033          .033          .033
     78          .033          .033          .033          .033          .032
     79          .033          .033          .033          .033          .032
     80          .033          .033          .033          .033          .032
     81          .000          .000          .000          .000          .000
     82          .000          .000          .000          .000          .000




             ESTIMATED COV. MATRIX FOR PARAMETER ESTIMATES
                 76            77            78            79            80

236

________ ________ ________ ________ ________
     76          .065
     77          .033          .066
     78          .033          .033          .065
     79          .033          .033          .033          .065
     80          .033          .033          .033          .033          .065
     81          .000          .000          .000          .000          .000
     82          .000          .000          .000          .000          .000




             ESTIMATED COV. MATRIX FOR PARAMETER ESTIMATES
                 81            82
              ________      ________
     81          .009
     82          .000          .006




             ESTIMATED CORR. MATRIX FOR PARAMETER ESTIMATES
                  1             2             3             4             5
              ________      ________      ________      ________      ________
      1         1.000
      2          .000         1.000
      3         -.068          .000         1.000
      4         -.149          .000         -.839         1.000
      5         -.202          .000          .000          .075         1.000
      6         -.679          .000          .007          .036          .067
      7         -.693          .000         -.007          .081          .045
      8         -.707          .000         -.007          .106          .062
      9         -.692          .000         -.076          .143          .066
     10         -.654          .000         -.148          .164          .016
     11         -.656          .000         -.022          .056         -.050
     12         -.642          .000          .032          .000         -.107
     13         -.661          .000         -.052          .092         -.045
     14         -.635          .000         -.219          .233         -.045
     15         -.676          .000         -.078          .125          .032
     16         -.670          .000          .056         -.021          .053
     17         -.660          .000         -.020          .039          .026
     18         -.675          .000          .024          .019          .037
     19         -.660          .000         -.055          .090         -.033
     20         -.669          .000          .027          .053         -.100
     21         -.683          .000         -.023          .070          .074
     22         -.704          .000         -.006          .088          .098
     23         -.660          .000          .013          .041         -.085
     24         -.680          .000          .025          .038          .002
     25         -.681          .000          .000          .070         -.017
     26         -.692          .000         -.084          .144          .107
     27         -.653          .000         -.046          .069         -.038
     28         -.666          .000         -.028          .063         -.003
     29         -.676          .000         -.004          .053          .018
     30         -.660          .000         -.013          .048         -.033
     31         -.662          .000          .052         -.011         -.029
     32         -.671          .000         -.094          .148         -.021

237

33 -.673 .000 -.072 .143 -.056
     34         -.658          .000         -.022          .085         -.114
     35         -.673          .000          .008          .046         -.021
     36         -.663          .000         -.022          .066         -.047
     37         -.643          .000         -.005          .017         -.048
     38         -.659          .000         -.019          .063         -.067
     39         -.691          .000         -.063          .144          .015
     40         -.647          .000          .047          .010         -.141
     41         -.681          .000         -.026          .077          .042
     42         -.660          .000         -.014          .049         -.034
     43          .000         -.363          .000          .000          .000
     44          .000         -.682          .000          .000          .000
     45          .000         -.701          .000          .000          .000
     46          .000         -.713          .000          .000          .000
     47          .000         -.703          .000          .000          .000
     48          .000         -.684          .000          .000          .000
     49          .000         -.685          .000          .000          .000
     50          .000         -.681          .000          .000          .000
     51          .000         -.691          .000          .000          .000
     52          .000         -.692          .000          .000          .000
     53          .000         -.694          .000          .000          .000
     54          .000         -.673          .000          .000          .000
     55          .000         -.672          .000          .000          .000
     56          .000         -.682          .000          .000          .000
     57          .000         -.688          .000          .000          .000
     58          .000         -.707          .000          .000          .000
     59          .000         -.688          .000          .000          .000
     60          .000         -.704          .000          .000          .000
     61          .000         -.694          .000          .000          .000
     62          .000         -.694          .000          .000          .000
     63          .000         -.701          .000          .000          .000
     64          .000         -.698          .000          .000          .000
     65          .000         -.680          .000          .000          .000
     66          .000         -.684          .000          .000          .000
     67          .000         -.689          .000          .000          .000
     68          .000         -.684          .000          .000          .000
     69          .000         -.681          .000          .000          .000
     70          .000         -.701          .000          .000          .000
     71          .000         -.709          .000          .000          .000
     72          .000         -.703          .000          .000          .000
     73          .000         -.692          .000          .000          .000
     74          .000         -.690          .000          .000          .000
     75          .000         -.669          .000          .000          .000
     76          .000         -.691          .000          .000          .000
     77          .000         -.710          .000          .000          .000
     78          .000         -.695          .000          .000          .000
     79          .000         -.691          .000          .000          .000
     80          .000         -.684          .000          .000          .000
     81          .000          .000          .000          .000          .000
     82          .000          .000          .000          .000          .000





238

ESTIMATED CORR. MATRIX FOR PARAMETER ESTIMATES
                  6             7             8             9            10
              ________      ________      ________      ________      ________
      6         1.000
      7          .505         1.000
      8          .505          .513         1.000
      9          .504          .510          .513         1.000
     10          .496          .500          .499          .508         1.000
     11          .497          .501          .499          .499          .499
     12          .491          .494          .492          .488          .487
     13          .497          .503          .502          .503          .504
     14          .485          .493          .492          .505          .517
     15          .502          .506          .508          .511          .508
     16          .502          .500          .499          .496          .487
     17          .501          .501          .499          .500          .499
     18          .503          .504          .504          .501          .493
     19          .498          .502          .502          .504          .504
     20          .493          .502          .504          .497          .490
     21          .505          .507          .508          .508          .500
     22          .506          .511          .515          .512          .498
     23          .495          .501          .500          .496          .493
     24          .502          .506          .507          .503          .494
     25          .501          .507          .509          .505          .498
     26          .504          .508          .512          .515          .508
     27          .497          .500          .498          .500          .502
     28          .501          .503          .503          .503          .501
     29          .503          .506          .506          .505          .498
     30          .499          .502          .501          .500          .498
     31          .499          .500          .498          .494          .488
     32          .498          .506          .507          .510          .510
     33          .496          .506          .508          .508          .506
     34          .491          .500          .501          .498          .496
     35          .501          .505          .505          .502          .496
     36          .498          .503          .502          .501          .500
     37          .496          .496          .493          .493          .495
     38          .496          .502          .501          .500          .498
     39          .502          .510          .514          .514          .507
     40          .487          .494          .493          .486          .483
     41          .504          .507          .508          .508          .502
     42          .499          .502          .501          .500          .498
     43          .000          .000          .000          .000          .000
     44          .000          .000          .000          .000          .000
     45          .000          .000          .000          .000          .000
     46          .000          .000          .000          .000          .000
     47          .000          .000          .000          .000          .000
     48          .000          .000          .000          .000          .000
     49          .000          .000          .000          .000          .000
     50          .000          .000          .000          .000          .000
     51          .000          .000          .000          .000          .000
     52          .000          .000          .000          .000          .000
     53          .000          .000          .000          .000          .000
     54          .000          .000          .000          .000          .000

239

55 .000 .000 .000 .000 .000
     56          .000          .000          .000          .000          .000
     57          .000          .000          .000          .000          .000
     58          .000          .000          .000          .000          .000
     59          .000          .000          .000          .000          .000
     60          .000          .000          .000          .000          .000
     61          .000          .000          .000          .000          .000
     62          .000          .000          .000          .000          .000
     63          .000          .000          .000          .000          .000
     64          .000          .000          .000          .000          .000
     65          .000          .000          .000          .000          .000
     66          .000          .000          .000          .000          .000
     67          .000          .000          .000          .000          .000
     68          .000          .000          .000          .000          .000
     69          .000          .000          .000          .000          .000
     70          .000          .000          .000          .000          .000
     71          .000          .000          .000          .000          .000
     72          .000          .000          .000          .000          .000
     73          .000          .000          .000          .000          .000
     74          .000          .000          .000          .000          .000
     75          .000          .000          .000          .000          .000
     76          .000          .000          .000          .000          .000
     77          .000          .000          .000          .000          .000
     78          .000          .000          .000          .000          .000
     79          .000          .000          .000          .000          .000
     80          .000          .000          .000          .000          .000
     81          .000          .000          .000          .000          .000
     82          .000          .000          .000          .000          .000




             ESTIMATED CORR. MATRIX FOR PARAMETER ESTIMATES
                 11            12            13            14            15
              ________      ________      ________      ________      ________
     11         1.000
     12          .503         1.000
     13          .505          .502         1.000
     14          .497          .485          .504         1.000
     15          .501          .492          .505          .506         1.000
     16          .495          .493          .493          .472          .495
     17          .499          .494          .499          .491          .501
     18          .499          .495          .498          .483          .500
     19          .504          .500          .506          .504          .505
     20          .505          .509          .506          .490          .498
     21          .498          .489          .499          .492          .505
     22          .496          .487          .499          .488          .507
     23          .505          .508          .505          .492          .498
     24          .502          .500          .502          .487          .502
     25          .504          .502          .506          .494          .504
     26          .495          .481          .499          .502          .510
     27          .504          .501          .505          .501          .502
     28          .503          .498          .504          .497          .504
     29          .502          .497          .502          .492          .504

240

30 .504 .502 .504 .495 .502
     31          .501          .503          .499          .479          .495
     32          .504          .497          .508          .513          .509
     33          .506          .501          .510          .511          .508
     34          .506          .508          .508          .500          .500
     35          .504          .502          .504          .491          .502
     36          .505          .503          .506          .498          .503
     37          .502          .502          .501          .490          .497
     38          .505          .505          .506          .498          .502
     39          .503          .495          .507          .506          .510
     40          .504          .511          .502          .483          .490
     41          .501          .494          .502          .495          .506
     42          .504          .502          .504          .495          .502
     43          .000          .000          .000          .000          .000
     44          .000          .000          .000          .000          .000
     45          .000          .000          .000          .000          .000
     46          .000          .000          .000          .000          .000
     47          .000          .000          .000          .000          .000
     48          .000          .000          .000          .000          .000
     49          .000          .000          .000          .000          .000
     50          .000          .000          .000          .000          .000
     51          .000          .000          .000          .000          .000
     52          .000          .000          .000          .000          .000
     53          .000          .000          .000          .000          .000
     54          .000          .000          .000          .000          .000
     55          .000          .000          .000          .000          .000
     56          .000          .000          .000          .000          .000
     57          .000          .000          .000          .000          .000
     58          .000          .000          .000          .000          .000
     59          .000          .000          .000          .000          .000
     60          .000          .000          .000          .000          .000
     61          .000          .000          .000          .000          .000
     62          .000          .000          .000          .000          .000
     63          .000          .000          .000          .000          .000
     64          .000          .000          .000          .000          .000
     65          .000          .000          .000          .000          .000
     66          .000          .000          .000          .000          .000
     67          .000          .000          .000          .000          .000
     68          .000          .000          .000          .000          .000
     69          .000          .000          .000          .000          .000
     70          .000          .000          .000          .000          .000
     71          .000          .000          .000          .000          .000
     72          .000          .000          .000          .000          .000
     73          .000          .000          .000          .000          .000
     74          .000          .000          .000          .000          .000
     75          .000          .000          .000          .000          .000
     76          .000          .000          .000          .000          .000
     77          .000          .000          .000          .000          .000
     78          .000          .000          .000          .000          .000
     79          .000          .000          .000          .000          .000
     80          .000          .000          .000          .000          .000
     81          .000          .000          .000          .000          .000

241

82 .000 .000 .000 .000 .000




             ESTIMATED CORR. MATRIX FOR PARAMETER ESTIMATES
                 16            17            18            19            20
              ________      ________      ________      ________      ________
     16         1.000
     17          .499         1.000
     18          .502          .501         1.000
     19          .494          .500          .499         1.000
     20          .492          .493          .497          .503         1.000
     21          .501          .502          .503          .500          .493
     22          .501          .500          .504          .499          .496
     23          .494          .496          .498          .504          .512
     24          .501          .500          .503          .502          .505
     25          .498          .500          .502          .505          .509
     26          .496          .500          .500          .500          .489
     27          .494          .500          .498          .504          .502
     28          .498          .501          .501          .504          .501
     29          .500          .501          .503          .502          .501
     30          .497          .500          .500          .504          .504
     31          .500          .498          .501          .499          .504
     32          .490          .499          .498          .508          .505
     33          .489          .497          .497          .508          .511
     34          .488          .494          .495          .506          .515
     35          .499          .500          .502          .503          .507
     36          .495          .499          .500          .505          .507
     37          .496          .499          .498          .501          .500
     38          .494          .498          .498          .505          .509
     39          .494          .499          .501          .506          .506
     40          .489          .490          .493          .500          .515
     41          .500          .502          .503          .502          .498
     42          .497          .500          .500          .504          .504
     43          .000          .000          .000          .000          .000
     44          .000          .000          .000          .000          .000
     45          .000          .000          .000          .000          .000
     46          .000          .000          .000          .000          .000
     47          .000          .000          .000          .000          .000
     48          .000          .000          .000          .000          .000
     49          .000          .000          .000          .000          .000
     50          .000          .000          .000          .000          .000
     51          .000          .000          .000          .000          .000
     52          .000          .000          .000          .000          .000
     53          .000          .000          .000          .000          .000
     54          .000          .000          .000          .000          .000
     55          .000          .000          .000          .000          .000
     56          .000          .000          .000          .000          .000
     57          .000          .000          .000          .000          .000
     58          .000          .000          .000          .000          .000
     59          .000          .000          .000          .000          .000
     60          .000          .000          .000          .000          .000
     61          .000          .000          .000          .000          .000

242

62 .000 .000 .000 .000 .000
     63          .000          .000          .000          .000          .000
     64          .000          .000          .000          .000          .000
     65          .000          .000          .000          .000          .000
     66          .000          .000          .000          .000          .000
     67          .000          .000          .000          .000          .000
     68          .000          .000          .000          .000          .000
     69          .000          .000          .000          .000          .000
     70          .000          .000          .000          .000          .000
     71          .000          .000          .000          .000          .000
     72          .000          .000          .000          .000          .000
     73          .000          .000          .000          .000          .000
     74          .000          .000          .000          .000          .000
     75          .000          .000          .000          .000          .000
     76          .000          .000          .000          .000          .000
     77          .000          .000          .000          .000          .000
     78          .000          .000          .000          .000          .000
     79          .000          .000          .000          .000          .000
     80          .000          .000          .000          .000          .000
     81          .000          .000          .000          .000          .000
     82          .000          .000          .000          .000          .000










             ESTIMATED CORR. MATRIX FOR PARAMETER ESTIMATES
                 21            22            23            24            25
              ________      ________      ________      ________      ________
     21         1.000
     22          .509         1.000
     23          .495          .495         1.000
     24          .502          .505          .504         1.000
     25          .502          .505          .506          .507         1.000
     26          .509          .512          .490          .500          .501
     27          .498          .496          .503          .501          .503
     28          .502          .501          .502          .503          .504
     29          .504          .505          .501          .504          .505
     30          .499          .498          .504          .503          .504
     31          .497          .497          .503          .503          .503
     32          .502          .503          .503          .502          .507
     33          .499          .502          .508          .504          .509
     34          .492          .493          .511          .503          .508
     35          .501          .502          .505          .505          .507
     36          .499          .498          .506          .504          .506
     37          .495          .491          .502          .499          .500
     38          .497          .496          .508          .503          .506
     39          .505          .510          .503          .505          .509
     40          .486          .485          .511          .501          .504
     41          .506          .507          .499          .504          .505
     42          .499          .498          .504          .503          .504
     43          .000          .000          .000          .000          .000

243

44 .000 .000 .000 .000 .000
     45          .000          .000          .000          .000          .000
     46          .000          .000          .000          .000          .000
     47          .000          .000          .000          .000          .000
     48          .000          .000          .000          .000          .000
     49          .000          .000          .000          .000          .000
     50          .000          .000          .000          .000          .000
     51          .000          .000          .000          .000          .000
     52          .000          .000          .000          .000          .000
     53          .000          .000          .000          .000          .000
     54          .000          .000          .000          .000          .000
     55          .000          .000          .000          .000          .000
     56          .000          .000          .000          .000          .000
     57          .000          .000          .000          .000          .000
     58          .000          .000          .000          .000          .000
     59          .000          .000          .000          .000          .000
     60          .000          .000          .000          .000          .000
     61          .000          .000          .000          .000          .000
     62          .000          .000          .000          .000          .000
     63          .000          .000          .000          .000          .000
     64          .000          .000          .000          .000          .000
     65          .000          .000          .000          .000          .000
     66          .000          .000          .000          .000          .000
     67          .000          .000          .000          .000          .000
     68          .000          .000          .000          .000          .000
     69          .000          .000          .000          .000          .000
     70          .000          .000          .000          .000          .000
     71          .000          .000          .000          .000          .000
     72          .000          .000          .000          .000          .000
     73          .000          .000          .000          .000          .000
     74          .000          .000          .000          .000          .000
     75          .000          .000          .000          .000          .000
     76          .000          .000          .000          .000          .000
     77          .000          .000          .000          .000          .000
     78          .000          .000          .000          .000          .000
     79          .000          .000          .000          .000          .000
     80          .000          .000          .000          .000          .000
     81          .000          .000          .000          .000          .000
     82          .000          .000          .000          .000          .000




             ESTIMATED CORR. MATRIX FOR PARAMETER ESTIMATES
                 26            27            28            29            30
              ________      ________      ________      ________      ________
     26         1.000
     27          .497         1.000
     28          .501          .503         1.000
     29          .503          .501          .503         1.000
     30          .496          .503          .503          .502         1.000
     31          .490          .499          .500          .501          .501
     32          .507          .505          .504          .503          .503
     33          .503          .505          .504          .503          .504

244

34 .490 .504 .501 .500 .504
     35          .498          .502          .503          .504          .504
     36          .497          .504          .503          .503          .504
     37          .490          .501          .500          .499          .501
     38          .494          .504          .503          .502          .504
     39          .511          .503          .504          .505          .503
     40          .477          .500          .497          .496          .502
     41          .507          .501          .503          .504          .501
     42          .497          .503          .503          .502          .503
     43          .000          .000          .000          .000          .000
     44          .000          .000          .000          .000          .000
     45          .000          .000          .000          .000          .000
     46          .000          .000          .000          .000          .000
     47          .000          .000          .000          .000          .000
     48          .000          .000          .000          .000          .000
     49          .000          .000          .000          .000          .000
     50          .000          .000          .000          .000          .000
     51          .000          .000          .000          .000          .000
     52          .000          .000          .000          .000          .000
     53          .000          .000          .000          .000          .000
     54          .000          .000          .000          .000          .000
     55          .000          .000          .000          .000          .000
     56          .000          .000          .000          .000          .000
     57          .000          .000          .000          .000          .000
     58          .000          .000          .000          .000          .000
     59          .000          .000          .000          .000          .000
     60          .000          .000          .000          .000          .000
     61          .000          .000          .000          .000          .000
     62          .000          .000          .000          .000          .000
     63          .000          .000          .000          .000          .000
     64          .000          .000          .000          .000          .000
     65          .000          .000          .000          .000          .000
     66          .000          .000          .000          .000          .000
     67          .000          .000          .000          .000          .000
     68          .000          .000          .000          .000          .000
     69          .000          .000          .000          .000          .000
     70          .000          .000          .000          .000          .000
     71          .000          .000          .000          .000          .000
     72          .000          .000          .000          .000          .000
     73          .000          .000          .000          .000          .000
     74          .000          .000          .000          .000          .000
     75          .000          .000          .000          .000          .000
     76          .000          .000          .000          .000          .000
     77          .000          .000          .000          .000          .000
     78          .000          .000          .000          .000          .000
     79          .000          .000          .000          .000          .000
     80          .000          .000          .000          .000          .000
     81          .000          .000          .000          .000          .000
     82          .000          .000          .000          .000          .000




             ESTIMATED CORR. MATRIX FOR PARAMETER ESTIMATES

245

31 32 33 34 35
              ________      ________      ________      ________      ________
     31         1.000
     32          .496         1.000
     33          .498          .514         1.000
     34          .501          .508          .514         1.000
     35          .503          .504          .506          .505         1.000
     36          .501          .506          .508          .508          .505
     37          .500          .498          .498          .501          .500
     38          .502          .506          .509          .510          .505
     39          .497          .513          .514          .507          .505
     40          .503          .498          .505          .514          .503
     41          .499          .505          .503          .498          .503
     42          .501          .503          .505          .505          .504
     43          .000          .000          .000          .000          .000
     44          .000          .000          .000          .000          .000
     45          .000          .000          .000          .000          .000
     46          .000          .000          .000          .000          .000
     47          .000          .000          .000          .000          .000
     48          .000          .000          .000          .000          .000
     49          .000          .000          .000          .000          .000
     50          .000          .000          .000          .000          .000
     51          .000          .000          .000          .000          .000
     52          .000          .000          .000          .000          .000
     53          .000          .000          .000          .000          .000
     54          .000          .000          .000          .000          .000
     55          .000          .000          .000          .000          .000
     56          .000          .000          .000          .000          .000
     57          .000          .000          .000          .000          .000
     58          .000          .000          .000          .000          .000
     59          .000          .000          .000          .000          .000
     60          .000          .000          .000          .000          .000
     61          .000          .000          .000          .000          .000
     62          .000          .000          .000          .000          .000
     63          .000          .000          .000          .000          .000
     64          .000          .000          .000          .000          .000
     65          .000          .000          .000          .000          .000
     66          .000          .000          .000          .000          .000
     67          .000          .000          .000          .000          .000
     68          .000          .000          .000          .000          .000
     69          .000          .000          .000          .000          .000
     70          .000          .000          .000          .000          .000
     71          .000          .000          .000          .000          .000
     72          .000          .000          .000          .000          .000
     73          .000          .000          .000          .000          .000
     74          .000          .000          .000          .000          .000
     75          .000          .000          .000          .000          .000
     76          .000          .000          .000          .000          .000
     77          .000          .000          .000          .000          .000
     78          .000          .000          .000          .000          .000
     79          .000          .000          .000          .000          .000
     80          .000          .000          .000          .000          .000

246

81 .000 .000 .000 .000 .000
     82          .000          .000          .000          .000          .000




             ESTIMATED CORR. MATRIX FOR PARAMETER ESTIMATES
                 36            37            38            39            40
              ________      ________      ________      ________      ________
     36         1.000
     37          .501         1.000
     38          .506          .502         1.000
     39          .505          .496          .505         1.000
     40          .505          .500          .507          .497         1.000
     41          .502          .497          .501          .507          .492
     42          .504          .501          .505          .503          .502
     43          .000          .000          .000          .000          .000
     44          .000          .000          .000          .000          .000
     45          .000          .000          .000          .000          .000
     46          .000          .000          .000          .000          .000
     47          .000          .000          .000          .000          .000
     48          .000          .000          .000          .000          .000
     49          .000          .000          .000          .000          .000
     50          .000          .000          .000          .000          .000
     51          .000          .000          .000          .000          .000
     52          .000          .000          .000          .000          .000
     53          .000          .000          .000          .000          .000
     54          .000          .000          .000          .000          .000
     55          .000          .000          .000          .000          .000
     56          .000          .000          .000          .000          .000
     57          .000          .000          .000          .000          .000
     58          .000          .000          .000          .000          .000
     59          .000          .000          .000          .000          .000
     60          .000          .000          .000          .000          .000
     61          .000          .000          .000          .000          .000
     62          .000          .000          .000          .000          .000
     63          .000          .000          .000          .000          .000
     64          .000          .000          .000          .000          .000
     65          .000          .000          .000          .000          .000
     66          .000          .000          .000          .000          .000
     67          .000          .000          .000          .000          .000
     68          .000          .000          .000          .000          .000
     69          .000          .000          .000          .000          .000
     70          .000          .000          .000          .000          .000
     71          .000          .000          .000          .000          .000
     72          .000          .000          .000          .000          .000
     73          .000          .000          .000          .000          .000
     74          .000          .000          .000          .000          .000
     75          .000          .000          .000          .000          .000
     76          .000          .000          .000          .000          .000
     77          .000          .000          .000          .000          .000
     78          .000          .000          .000          .000          .000
     79          .000          .000          .000          .000          .000
     80          .000          .000          .000          .000          .000

247

81 .000 .000 .000 .000 .000
     82          .000          .000          .000          .000          .000




             ESTIMATED CORR. MATRIX FOR PARAMETER ESTIMATES
                 41            42            43            44            45
              ________      ________      ________      ________      ________
     41         1.000
     42          .501         1.000
     43          .000          .000         1.000
     44          .000          .000          .068         1.000
     45          .000          .000          .132          .503         1.000
     46          .000          .000          .179          .503          .511
     47          .000          .000          .139          .503          .509
     48          .000          .000          .072          .502          .504
     49          .000          .000          .076          .503          .504
     50          .000          .000          .065          .502          .503
     51          .000          .000          .096          .503          .506
     52          .000          .000          .100          .503          .506
     53          .000          .000          .106          .503          .507
     54          .000          .000          .040          .501          .501
     55          .000          .000          .038          .501          .500
     56          .000          .000          .067          .502          .503
     57          .000          .000          .085          .503          .505
     58          .000          .000          .156          .503          .510
     59          .000          .000          .085          .503          .505
     60          .000          .000          .141          .503          .509
     61          .000          .000          .108          .503          .507
     62          .000          .000          .109          .503          .507
     63          .000          .000          .131          .503          .509
     64          .000          .000          .122          .503          .508
     65          .000          .000          .062          .502          .503
     66          .000          .000          .074          .502          .504
     67          .000          .000          .090          .503          .505
     68          .000          .000          .074          .502          .504
     69          .000          .000          .064          .502          .503
     70          .000          .000          .131          .503          .509
     71          .000          .000          .162          .503          .510
     72          .000          .000          .140          .503          .509
     73          .000          .000          .101          .503          .506
     74          .000          .000          .095          .503          .506
     75          .000          .000          .030          .501          .499
     76          .000          .000          .098          .503          .506
     77          .000          .000          .167          .503          .511
     78          .000          .000          .112          .503          .507
     79          .000          .000          .096          .503          .506
     80          .000          .000          .075          .503          .504
     81          .000          .000          .000          .000          .000
     82          .000          .000          .000          .000          .000




             ESTIMATED CORR. MATRIX FOR PARAMETER ESTIMATES

248

46 47 48 49 50
              ________      ________      ________      ________      ________
     46         1.000
     47          .512         1.000
     48          .504          .504         1.000
     49          .504          .504          .503         1.000
     50          .503          .503          .502          .502         1.000
     51          .507          .506          .503          .504          .503
     52          .507          .507          .503          .504          .503
     53          .508          .507          .504          .504          .503
     54          .499          .500          .501          .501          .501
     55          .498          .500          .501          .501          .501
     56          .503          .503          .502          .503          .502
     57          .505          .505          .503          .503          .503
     58          .514          .511          .504          .504          .503
     59          .505          .505          .503          .503          .503
     60          .512          .510          .504          .504          .503
     61          .508          .507          .504          .504          .503
     62          .508          .507          .504          .504          .503
     63          .511          .509          .504          .504          .503
     64          .510          .508          .504          .504          .503
     65          .502          .503          .502          .502          .502
     66          .504          .504          .503          .503          .502
     67          .506          .506          .503          .503          .503
     68          .504          .504          .503          .503          .502
     69          .502          .503          .502          .502          .502
     70          .511          .509          .504          .504          .503
     71          .514          .511          .504          .504          .503
     72          .512          .510          .504          .504          .503
     73          .507          .507          .503          .504          .503
     74          .507          .506          .503          .504          .503
     75          .497          .499          .501          .501          .501
     76          .507          .506          .503          .504          .503
     77          .515          .511          .504          .504          .503
     78          .509          .508          .504          .504          .503
     79          .507          .506          .503          .504          .503
     80          .504          .504          .503          .503          .502
     81          .000          .000          .000          .000          .000
     82          .000          .000          .000          .000          .000




             ESTIMATED CORR. MATRIX FOR PARAMETER ESTIMATES
                 51            52            53            54            55
              ________      ________      ________      ________      ________
     51         1.000
     52          .505         1.000
     53          .505          .505         1.000
     54          .501          .501          .501         1.000
     55          .501          .501          .501          .501         1.000
     56          .503          .503          .503          .501          .501
     57          .504          .504          .504          .501          .501
     58          .507          .507          .508          .500          .499

249

59 .504 .504 .504 .501 .501
     60          .506          .507          .507          .500          .500
     61          .505          .505          .506          .501          .501
     62          .505          .505          .506          .501          .501
     63          .506          .506          .507          .501          .500
     64          .506          .506          .506          .501          .501
     65          .503          .503          .503          .501          .501
     66          .503          .504          .504          .501          .501
     67          .504          .504          .505          .501          .501
     68          .503          .504          .504          .501          .501
     69          .503          .503          .503          .501          .501
     70          .506          .506          .507          .501          .500
     71          .507          .507          .508          .500          .499
     72          .506          .507          .507          .500          .500
     73          .505          .505          .505          .501          .501
     74          .505          .505          .505          .501          .501
     75          .500          .500          .500          .501          .501
     76          .505          .505          .505          .501          .501
     77          .507          .507          .508          .499          .499
     78          .505          .506          .506          .501          .501
     79          .505          .505          .505          .501          .501
     80          .504          .504          .504          .501          .501
     81          .000          .000          .000          .000          .000
     82          .000          .000          .000          .000          .000




             ESTIMATED CORR. MATRIX FOR PARAMETER ESTIMATES
                 56            57            58            59            60
              ________      ________      ________      ________      ________
     56         1.000
     57          .503         1.000
     58          .503          .505         1.000
     59          .503          .504          .505         1.000
     60          .503          .505          .511          .505         1.000
     61          .503          .504          .508          .504          .507
     62          .503          .504          .508          .504          .507
     63          .503          .505          .510          .505          .509
     64          .503          .505          .509          .505          .509
     65          .502          .502          .503          .502          .503
     66          .502          .503          .504          .503          .504
     67          .503          .504          .506          .504          .506
     68          .502          .503          .504          .503          .504
     69          .502          .503          .503          .503          .503
     70          .503          .505          .510          .505          .509
     71          .503          .505          .513          .505          .511
     72          .503          .505          .511          .505          .510
     73          .503          .504          .507          .504          .507
     74          .503          .504          .506          .504          .506
     75          .501          .500          .498          .500          .499
     76          .503          .504          .507          .504          .506
     77          .503          .505          .513          .505          .512
     78          .503          .505          .508          .505          .508

250

79 .503 .504 .507 .504 .506
     80          .503          .503          .504          .503          .504
     81          .000          .000          .000          .000          .000
     82          .000          .000          .000          .000          .000




             ESTIMATED CORR. MATRIX FOR PARAMETER ESTIMATES
                 61            62            63            64            65
              ________      ________      ________      ________      ________
     61         1.000
     62          .506         1.000
     63          .507          .507         1.000
     64          .507          .507          .508         1.000
     65          .503          .503          .503          .503         1.000
     66          .504          .504          .504          .504          .502
     67          .505          .505          .505          .505          .503
     68          .504          .504          .504          .504          .502
     69          .503          .503          .503          .503          .502
     70          .507          .507          .509          .508          .503
     71          .508          .508          .510          .509          .502
     72          .507          .507          .509          .508          .503
     73          .505          .505          .506          .506          .503
     74          .505          .505          .506          .506          .503
     75          .500          .500          .499          .500          .501
     76          .505          .505          .506          .506          .503
     77          .508          .508          .511          .510          .502
     78          .506          .506          .507          .507          .503
     79          .505          .505          .506          .506          .503
     80          .504          .504          .504          .504          .502
     81          .000          .000          .000          .000          .000
     82          .000          .000          .000          .000          .000




             ESTIMATED CORR. MATRIX FOR PARAMETER ESTIMATES
                 66            67            68            69            70
              ________      ________      ________      ________      ________
     66         1.000
     67          .503         1.000
     68          .503          .503         1.000
     69          .502          .503          .502         1.000
     70          .504          .505          .504          .503         1.000
     71          .504          .506          .504          .503          .510
     72          .504          .506          .504          .503          .509
     73          .504          .504          .504          .503          .506
     74          .503          .504          .503          .503          .506
     75          .501          .500          .501          .501          .499
     76          .503          .504          .503          .503          .506
     77          .504          .506          .504          .503          .511
     78          .504          .505          .504          .503          .507
     79          .503          .504          .503          .503          .506
     80          .503          .503          .503          .502          .504
     81          .000          .000          .000          .000          .000

251

82 .000 .000 .000 .000 .000




             ESTIMATED CORR. MATRIX FOR PARAMETER ESTIMATES
                 71            72            73            74            75
              ________      ________      ________      ________      ________
     71         1.000
     72          .511         1.000
     73          .507          .507         1.000
     74          .507          .506          .505         1.000
     75          .498          .499          .500          .500         1.000
     76          .507          .506          .505          .505          .500
     77          .513          .512          .507          .507          .498
     78          .508          .508          .506          .505          .500
     79          .507          .506          .505          .505          .500
     80          .504          .504          .504          .503          .501
     81          .000          .000          .000          .000          .000
     82          .000          .000          .000          .000          .000




             ESTIMATED CORR. MATRIX FOR PARAMETER ESTIMATES
                 76            77            78            79            80
              ________      ________      ________      ________      ________
     76         1.000
     77          .507         1.000
     78          .505          .509         1.000
     79          .505          .507          .505         1.000
     80          .504          .504          .504          .503         1.000
     81          .000          .000          .000          .000          .000
     82          .000          .000          .000          .000          .000




             ESTIMATED CORR. MATRIX FOR PARAMETER ESTIMATES
                 81            82
              ________      ________
     81         1.000
     82          .000         1.000


TECHNICAL 4 OUTPUT




     ESTIMATES DERIVED FROM THE MODEL




           ESTIMATED COVARIANCE MATRIX FOR THE LATENT VARIABLES
              IC            LEG           WICH          SCHW          P2DUMMY
              ________      ________      ________      ________      ________
 IC            11.415
Mplus VERSION 1.04                                                  PAGE   34
Simultanes Mehrgleichungsmodell fuer die Beziehung


 LEG           -8.044        13.812

252

WICH -6.186 10.948 12.744
 SCHW           2.100        -1.153        -1.179         6.805
 P2DUMMY        -.032          .006          .023         -.043          .026
 P3DUMMY         .074         -.032         -.028         -.026         -.001
 P4DUMMY         .056         -.065         -.065         -.032         -.001
 P5DUMMY        -.075         -.007         -.033         -.038         -.001
 P6DUMMY        -.021          .071          .019         -.016         -.001
 P8DUMMY         .007          .013          .016          .020         -.001
 P9DUMMY         .050         -.003          .025          .049         -.001
 P10DUMMY       -.024          .013          .001          .018         -.001
 P11DUMMY       -.053          .086         -.002          .020         -.001
 P12DUMMY        .014          .017         -.007         -.021         -.001
 P13DUMMY        .043          .004          .045         -.038         -.001
 P14DUMMY       -.034          .038          .046         -.023         -.001
 P15DUMMY       -.040         -.001          .023         -.027         -.001
 P16DUMMY       -.040          .021          .009          .011         -.001
 P17DUMMY        .067         -.063         -.046          .053         -.001
 P18DUMMY       -.076          .007          .009         -.046         -.001
 P19DUMMY       -.077         -.039         -.035         -.054         -.001
 P20DUMMY        .044         -.024         -.009          .041         -.001
 P21DUMMY        .023         -.030         -.009         -.006         -.001
 P22DUMMY        .030         -.034         -.027          .006         -.001
 P23DUMMY       -.039          .009         -.020         -.061         -.001
 P24DUMMY       -.010          .033          .028          .012         -.001
 P25DUMMY        .036          .017          .018         -.006         -.001
 P26DUMMY       -.021         -.004          .006         -.015         -.001
 P27DUMMY        .024          .011          .018          .010         -.001
 P28DUMMY       -.004         -.011          .026          .008         -.001
 P29DUMMY        .021          .007         -.027          .009         -.001
 P30DUMMY       -.085         -.024         -.051          .030         -.001
 P31DUMMY        .043         -.031         -.034          .059         -.001
 P32DUMMY       -.020         -.017         -.003          .006         -.001
 P33DUMMY       -.011          .001          .002          .020         -.001
 P34DUMMY       -.043          .037          .053          .015         -.001
 P35DUMMY       -.002         -.003          .000          .030         -.001
 P36DUMMY        .039         -.031         -.055         -.008         -.001
 P37DUMMY        .090         -.042         -.012          .071         -.001
 P38DUMMY        .041          .002          .001         -.027         -.001
 P39DUMMY        .028          .010          .017          .011         -.001




           ESTIMATED COVARIANCE MATRIX FOR THE LATENT VARIABLES
              P3DUMMY       P4DUMMY       P5DUMMY       P6DUMMY       P8DUMMY
              ________      ________      ________      ________      ________
 P3DUMMY         .026
 P4DUMMY        -.001          .026
 P5DUMMY        -.001         -.001          .026
 P6DUMMY        -.001         -.001         -.001          .026
 P8DUMMY        -.001         -.001         -.001         -.001          .026
 P9DUMMY        -.001         -.001         -.001         -.001         -.001
 P10DUMMY       -.001         -.001         -.001         -.001         -.001
 P11DUMMY       -.001         -.001         -.001         -.001         -.001

253

P12DUMMY -.001 -.001 -.001 -.001 -.001
 P13DUMMY       -.001         -.001         -.001         -.001         -.001
 P14DUMMY       -.001         -.001         -.001         -.001         -.001
 P15DUMMY       -.001         -.001         -.001         -.001         -.001
 P16DUMMY       -.001         -.001         -.001         -.001         -.001
 P17DUMMY       -.001         -.001         -.001         -.001         -.001
 P18DUMMY       -.001         -.001         -.001         -.001         -.001
 P19DUMMY       -.001         -.001         -.001         -.001         -.001
 P20DUMMY       -.001         -.001         -.001         -.001         -.001
 P21DUMMY       -.001         -.001         -.001         -.001         -.001
 P22DUMMY       -.001         -.001         -.001         -.001         -.001
 P23DUMMY       -.001         -.001         -.001         -.001         -.001
 P24DUMMY       -.001         -.001         -.001         -.001         -.001
 P25DUMMY       -.001         -.001         -.001         -.001         -.001
 P26DUMMY       -.001         -.001         -.001         -.001         -.001
 P27DUMMY       -.001         -.001         -.001         -.001         -.001
 P28DUMMY       -.001         -.001         -.001         -.001         -.001
 P29DUMMY       -.001         -.001         -.001         -.001         -.001
 P30DUMMY       -.001         -.001         -.001         -.001         -.001
 P31DUMMY       -.001         -.001         -.001         -.001         -.001
 P32DUMMY       -.001         -.001         -.001         -.001         -.001
 P33DUMMY       -.001         -.001         -.001         -.001         -.001
 P34DUMMY       -.001         -.001         -.001         -.001         -.001
 P35DUMMY       -.001         -.001         -.001         -.001         -.001
 P36DUMMY       -.001         -.001         -.001         -.001         -.001
 P37DUMMY       -.001         -.001         -.001         -.001         -.001
 P38DUMMY       -.001         -.001         -.001         -.001         -.001
 P39DUMMY       -.001         -.001         -.001         -.001         -.001




           ESTIMATED COVARIANCE MATRIX FOR THE LATENT VARIABLES
              P9DUMMY       P10DUMMY      P11DUMMY      P12DUMMY      P13DUMMY
              ________      ________      ________      ________      ________
 P9DUMMY         .026
 P10DUMMY       -.001          .026
 P11DUMMY       -.001         -.001          .026
 P12DUMMY       -.001         -.001         -.001          .026
 P13DUMMY       -.001         -.001         -.001         -.001          .026
 P14DUMMY       -.001         -.001         -.001         -.001         -.001
 P15DUMMY       -.001         -.001         -.001         -.001         -.001
 P16DUMMY       -.001         -.001         -.001         -.001         -.001
 P17DUMMY       -.001         -.001         -.001         -.001         -.001
 P18DUMMY       -.001         -.001         -.001         -.001         -.001
 P19DUMMY       -.001         -.001         -.001         -.001         -.001
 P20DUMMY       -.001         -.001         -.001         -.001         -.001
 P21DUMMY       -.001         -.001         -.001         -.001         -.001
 P22DUMMY       -.001         -.001         -.001         -.001         -.001
 P23DUMMY       -.001         -.001         -.001         -.001         -.001
 P24DUMMY       -.001         -.001         -.001         -.001         -.001
 P25DUMMY       -.001         -.001         -.001         -.001         -.001
 P26DUMMY       -.001         -.001         -.001         -.001         -.001
 P27DUMMY       -.001         -.001         -.001         -.001         -.001

254

P28DUMMY -.001 -.001 -.001 -.001 -.001
 P29DUMMY       -.001         -.001         -.001         -.001         -.001
 P30DUMMY       -.001         -.001         -.001         -.001         -.001
 P31DUMMY       -.001         -.001         -.001         -.001         -.001
 P32DUMMY       -.001         -.001         -.001         -.001         -.001
 P33DUMMY       -.001         -.001         -.001         -.001         -.001
 P34DUMMY       -.001         -.001         -.001         -.001         -.001
 P35DUMMY       -.001         -.001         -.001         -.001         -.001
 P36DUMMY       -.001         -.001         -.001         -.001         -.001
P37DUMMY       -.001         -.001         -.001         -.001         -.001
 P38DUMMY       -.001         -.001         -.001         -.001         -.001
 P39DUMMY       -.001         -.001         -.001         -.001         -.001




           ESTIMATED COVARIANCE MATRIX FOR THE LATENT VARIABLES
              P14DUMMY      P15DUMMY      P16DUMMY      P17DUMMY      P18DUMMY
              ________      ________      ________      ________      ________
 P14DUMMY        .026
 P15DUMMY       -.001          .026
 P16DUMMY       -.001         -.001          .026
 P17DUMMY       -.001         -.001         -.001          .026
 P18DUMMY       -.001         -.001         -.001         -.001          .026
 P19DUMMY       -.001         -.001         -.001         -.001         -.001
 P20DUMMY       -.001         -.001         -.001         -.001         -.001
 P21DUMMY       -.001         -.001         -.001         -.001         -.001
 P22DUMMY       -.001         -.001         -.001         -.001         -.001
 P23DUMMY       -.001         -.001         -.001         -.001         -.001
 P24DUMMY       -.001         -.001         -.001         -.001         -.001
 P25DUMMY       -.001         -.001         -.001         -.001         -.001
 P26DUMMY       -.001         -.001         -.001         -.001         -.001
 P27DUMMY       -.001         -.001         -.001         -.001         -.001
 P28DUMMY       -.001         -.001         -.001         -.001         -.001
 P29DUMMY       -.001         -.001         -.001         -.001         -.001
 P30DUMMY       -.001         -.001         -.001         -.001         -.001
 P31DUMMY       -.001         -.001         -.001         -.001         -.001
 P32DUMMY       -.001         -.001         -.001         -.001         -.001
 P33DUMMY       -.001         -.001         -.001         -.001         -.001
 P34DUMMY       -.001         -.001         -.001         -.001         -.001
 P35DUMMY       -.001         -.001         -.001         -.001         -.001
 P36DUMMY       -.001         -.001         -.001         -.001         -.001
 P37DUMMY       -.001         -.001         -.001         -.001         -.001
 P38DUMMY       -.001         -.001         -.001         -.001         -.001
 P39DUMMY       -.001         -.001         -.001         -.001         -.001




           ESTIMATED COVARIANCE MATRIX FOR THE LATENT VARIABLES
              P19DUMMY      P20DUMMY      P21DUMMY      P22DUMMY      P23DUMMY
              ________      ________      ________      ________      ________
 P19DUMMY        .026
 P20DUMMY       -.001          .026
 P21DUMMY       -.001         -.001          .026
 P22DUMMY       -.001         -.001         -.001          .026

255

P23DUMMY -.001 -.001 -.001 -.001 .026
 P24DUMMY       -.001         -.001         -.001         -.001         -.001
 P25DUMMY       -.001         -.001         -.001         -.001         -.001
 P26DUMMY       -.001         -.001         -.001         -.001         -.001
 P27DUMMY       -.001         -.001         -.001         -.001         -.001
 P28DUMMY       -.001         -.001         -.001         -.001         -.001
 P29DUMMY       -.001         -.001         -.001         -.001         -.001
 P30DUMMY       -.001         -.001         -.001         -.001         -.001
 P31DUMMY       -.001         -.001         -.001         -.001         -.001
 P32DUMMY       -.001         -.001         -.001         -.001         -.001
 P33DUMMY       -.001         -.001         -.001         -.001         -.001
 P34DUMMY       -.001         -.001         -.001         -.001         -.001
 P35DUMMY       -.001         -.001         -.001         -.001         -.001
 P36DUMMY       -.001         -.001         -.001         -.001         -.001
 P37DUMMY       -.001         -.001         -.001         -.001         -.001
 P38DUMMY       -.001         -.001         -.001         -.001         -.001
 P39DUMMY       -.001         -.001         -.001         -.001         -.001




           ESTIMATED COVARIANCE MATRIX FOR THE LATENT VARIABLES
              P24DUMMY      P25DUMMY      P26DUMMY      P27DUMMY      P28DUMMY
              ________      ________      ________      ________      ________
 P24DUMMY        .026
 P25DUMMY       -.001          .026
 P26DUMMY       -.001         -.001          .026
 P27DUMMY       -.001         -.001         -.001          .026
 P28DUMMY       -.001         -.001         -.001         -.001          .026
 P29DUMMY       -.001         -.001         -.001         -.001         -.001
 P30DUMMY       -.001         -.001         -.001         -.001         -.001
 P31DUMMY       -.001         -.001         -.001         -.001         -.001
 P32DUMMY       -.001         -.001         -.001         -.001         -.001
 P33DUMMY       -.001         -.001         -.001         -.001         -.001
 P34DUMMY       -.001         -.001         -.001         -.001         -.001
 P35DUMMY       -.001         -.001         -.001         -.001         -.001
 P36DUMMY       -.001         -.001         -.001         -.001         -.001
 P37DUMMY       -.001         -.001         -.001         -.001         -.001
 P38DUMMY       -.001         -.001         -.001         -.001         -.001
 P39DUMMY       -.001         -.001         -.001         -.001         -.001




           ESTIMATED COVARIANCE MATRIX FOR THE LATENT VARIABLES
              P29DUMMY      P30DUMMY      P31DUMMY      P32DUMMY      P33DUMMY
              ________      ________      ________      ________      ________
 P29DUMMY        .026
 P30DUMMY       -.001          .026
 P31DUMMY       -.001         -.001          .026
 P32DUMMY       -.001         -.001         -.001          .026
 P33DUMMY       -.001         -.001         -.001         -.001          .026
 P34DUMMY       -.001         -.001         -.001         -.001         -.001
 P35DUMMY       -.001         -.001         -.001         -.001         -.001
 P36DUMMY       -.001         -.001         -.001         -.001         -.001
 P37DUMMY       -.001         -.001         -.001         -.001         -.001

256

P38DUMMY -.001 -.001 -.001 -.001 -.001
 P39DUMMY       -.001         -.001         -.001         -.001         -.001




           ESTIMATED COVARIANCE MATRIX FOR THE LATENT VARIABLES
              P34DUMMY      P35DUMMY      P36DUMMY      P37DUMMY      P38DUMMY
              ________      ________      ________      ________      ________
 P34DUMMY        .026
 P35DUMMY       -.001          .026
 P36DUMMY       -.001         -.001          .026
 P37DUMMY       -.001         -.001         -.001          .026
 P38DUMMY       -.001         -.001         -.001         -.001          .026
 P39DUMMY       -.001         -.001         -.001         -.001         -.001




           ESTIMATED COVARIANCE MATRIX FOR THE LATENT VARIABLES
              P39DUMMY
              ________
 P39DUMMY        .026
Mplus VERSION 1.04                                                  PAGE   38
Simultanes Mehrgleichungsmodell fuer die Beziehung






     Beginning Time:  14:06:08
        Ending Time:  14:06:14
       Elapsed Time:  00:00:06






MUTHEN & MUTHEN
11965 Venice Blvd., Suite 407
Los Angeles, CA  90066


Tel: (310) 391-9971
Fax: (310) 391-8971
Web: www.StatModel.com
Support: Support@StatModel.com


Copyright (c) 1998 Muthen & Muthen

257

C.3.2 Group A (peip & u questions)

Mplus VERSION 1.04
MUTHEN & MUTHEN
02/02/2001   3:45 PM


INPUT INSTRUCTIONS


  TITLE: Simultanes Mehrgleichungsmodell fuer die Beziehung
  zwischen IC, LEG, WICH und SCHW (mit WICH --> LEG)


  Stichprobe: Fragen U + PEIP, disaggregrierte Daten


  DATA: FILE IS dummy_pers.dat;


  VARIABLE: NAMES ARE


  LEG SCHW WICH IC
  P1DUMMY P2DUMMY P3DUMMY P4DUMMY P5DUMMY P6DUMMY P8DUMMY P9DUMMY P10DUMMY
  P11DUMMY P12DUMMY P13DUMMY P14DUMMY P15DUMMY P16DUMMY P17DUMMY P18DUMMY
  P19DUMMY P20DUMMY P21DUMMY P22DUMMY P23DUMMY P24DUMMY        P25DUMMY P26DUMMY
  P27DUMMY P28DUMMY P29DUMMY P30DUMMY P31DUMMY P32DUMMY P33DUMMY P34DUMMY
  P35DUMMY P36DUMMY P37DUMMY P38DUMMY P39DUMMY;


  USEVARIABLES IC LEG WICH SCHW
  P2DUMMY P3DUMMY P4DUMMY P5DUMMY P6DUMMY P8DUMMY P9DUMMY P10DUMMY
  P11DUMMY P12DUMMY P13DUMMY P14DUMMY P15DUMMY P16DUMMY P17DUMMY P18DUMMY
  P19DUMMY P20DUMMY P21DUMMY P22DUMMY P23DUMMY P24DUMMY        P25DUMMY P26DUMMY
  P27DUMMY P28DUMMY P29DUMMY P30DUMMY P31DUMMY P32DUMMY P33DUMMY P34DUMMY
  P35DUMMY P36DUMMY P37DUMMY P38DUMMY P39DUMMY;


  ANALYSIS: TYPE IS MEANSTRUCTURE;


  MODEL:
      ic ON leg wich schw
      P2DUMMY P3DUMMY P4DUMMY P5DUMMY P6DUMMY P8DUMMY P9DUMMY P10DUMMY
      P11DUMMY P12DUMMY P13DUMMY P14DUMMY P15DUMMY P16DUMMY P17DUMMY P18DUMMY
      P19DUMMY P20DUMMY P21DUMMY P22DUMMY P23DUMMY P24DUMMY P25DUMMY P26DUMMY
      P27DUMMY P28DUMMY P29DUMMY P30DUMMY P31DUMMY P32DUMMY P33DUMMY P34DUMMY
      P35DUMMY P36DUMMY P37DUMMY P38DUMMY P39DUMMY;
      leg ON wich
      P2DUMMY P3DUMMY P4DUMMY P5DUMMY P6DUMMY P8DUMMY P9DUMMY P10DUMMY
      P11DUMMY P12DUMMY P13DUMMY P14DUMMY P15DUMMY P16DUMMY P17DUMMY P18DUMMY
      P19DUMMY P20DUMMY P21DUMMY P22DUMMY P23DUMMY P24DUMMY P25DUMMY P26DUMMY
      P27DUMMY P28DUMMY P29DUMMY P30DUMMY P31DUMMY P32DUMMY P33DUMMY P34DUMMY
      P35DUMMY P36DUMMY P37DUMMY P38DUMMY P39DUMMY;
      [ic leg];


  OUTPUT:



258

Tech4;



















259



Mplus VERSION 1.04                                                  PAGE    2








INPUT READING TERMINATED NORMALLY






Simultanes Mehrgleichungsmodell fuer die Beziehung
zwischen IC, LEG, WICH und SCHW (mit WICH --> LEG)


Stichprobe: Fragen U + PEIP, disaggregrierte Daten


Mplus VERSION 1.04                                                  PAGE    3
Simultanes Mehrgleichungsmodell fuer die Beziehung


SUMMARY OF ANALYSIS


Number of groups                                1
Number of observations                       1786


Number of y-variables                           2
Number of x-variables                          39
Number of continuous latent variables           0


Observed variables in the analysis
   IC          LEG         WICH        SCHW        P2DUMMY     P3DUMMY
   P4DUMMY     P5DUMMY     P6DUMMY     P8DUMMY     P9DUMMY     P10DUMMY
   P11DUMMY    P12DUMMY    P13DUMMY    P14DUMMY    P15DUMMY    P16DUMMY
   P17DUMMY    P18DUMMY    P19DUMMY    P20DUMMY    P21DUMMY    P22DUMMY
   P23DUMMY    P24DUMMY    P25DUMMY    P26DUMMY    P27DUMMY    P28DUMMY
   P29DUMMY    P30DUMMY    P31DUMMY    P32DUMMY    P33DUMMY    P34DUMMY
   P35DUMMY    P36DUMMY    P37DUMMY    P38DUMMY    P39DUMMY




Estimator                                      ML
Maximum number of iterations                 1000
Convergence criterion                    .500D-04


Input data file(s)
  dummy_pers.dat


Input data format  FREE






THE MODEL ESTIMATION TERMINATED NORMALLY





260

TESTS OF MODEL FIT


Chi-Square Test of Model Fit


          Value                    9.735
          Degrees of Freedom           1
          P-Value                  .0018


Loglikelihood


          H0 Value             13874.508
          H1 Value             13879.375


Information Criteria


          Number of Free Parameters             82
          Akaike (AIC)                  -27585.015
          Bayesian (BIC)                -27135.021
          Sample-Size Adjusted BIC      -27395.530
            (n* = (n + 2) / 24)


RMSEA (Root Mean Square Error Of Approximation)






Mplus VERSION 1.04                                                  PAGE    4
Simultanes Mehrgleichungsmodell fuer die Beziehung


          Estimate                     .070
          90 Percent C.I.              .035   .113
          Probability RMSEA <= .05     .157






MODEL RESULTS


                   Estimates     S.E.  Est./S.E.


 IC       ON
    LEG                -.457     .027    -16.740
    WICH               -.055     .029     -1.915
    SCHW                .159     .020      7.771
    P2DUMMY             .227     .425       .534
    P3DUMMY            4.017     .431      9.329
    P4DUMMY            2.510     .438      5.732
    P5DUMMY           -4.084     .436     -9.369
    P6DUMMY            1.143     .433      2.640
    P8DUMMY            1.183     .430      2.748
    P9DUMMY             .288     .431       .669
    P10DUMMY           -.838     .428     -1.958
    P11DUMMY           -.924     .444     -2.080

261

P12DUMMY 2.123 .435 4.878
    P13DUMMY           2.980     .426      6.988
    P14DUMMY          -1.800     .422     -4.262
    P15DUMMY          -2.024     .423     -4.785
    P16DUMMY          -1.369     .428     -3.196
    P17DUMMY           2.383     .435      5.480
    P18DUMMY          -3.933     .429     -9.160
    P19DUMMY          -3.760     .431     -8.725
    P20DUMMY           2.033     .430      4.723
    P21DUMMY            .132     .429       .308
    P22DUMMY           2.578     .435      5.920
    P23DUMMY           -.725     .437     -1.657
    P24DUMMY            .862     .425      2.030
    P25DUMMY           2.059     .428      4.815
    P26DUMMY          -2.206     .431     -5.122
    P27DUMMY           2.925     .424      6.897
    P28DUMMY            .173     .426       .407
    P29DUMMY           2.928     .434      6.750
    P30DUMMY          -5.087     .431    -11.801
    P31DUMMY           -.143     .438      -.327
    P32DUMMY           -.659     .424     -1.555
    P33DUMMY           -.027     .436      -.061
    P34DUMMY          -1.218     .423     -2.878
    P35DUMMY            .166     .428       .389
    P36DUMMY           2.028     .435      4.659
    P37DUMMY           2.833     .439      6.457
    P38DUMMY           3.094     .431      7.173
    P39DUMMY           1.460     .425      3.435


 LEG      ON
    WICH                .839     .015     56.354
    P2DUMMY            -.157     .367      -.428
    P3DUMMY            -.973     .372     -2.616
    P4DUMMY             .142     .378       .375
    P5DUMMY             .959     .377      2.546
    P6DUMMY            3.470     .366      9.474
    P8DUMMY             .237     .371       .639
    P9DUMMY            -.739     .369     -2.002
    P10DUMMY            .841     .370      2.275
    P11DUMMY           4.806     .368     13.051
    P12DUMMY           1.429     .375      3.808
    P13DUMMY          -1.544     .368     -4.200
    P14DUMMY            .498     .366      1.360
    P15DUMMY            .244     .367       .666
    P16DUMMY           1.705     .369      4.618
    P17DUMMY           -.247     .374      -.659
    P18DUMMY           -.025     .371      -.067
    P19DUMMY            .245     .372       .661
    P20DUMMY           -.700     .373     -1.878
    P21DUMMY           -.683     .372     -1.837
    P22DUMMY           -.252     .378      -.668
    P23DUMMY           1.574     .375      4.195

262

P24DUMMY 1.069 .367 2.911
    P25DUMMY            .860     .370      2.322
    P26DUMMY            .305     .373       .817
    P27DUMMY          -1.146     .367     -3.124
    P28DUMMY           -.985     .368     -2.675
    P29DUMMY            .217     .376       .578
    P30DUMMY            .599     .373      1.606
    P31DUMMY            .714     .374      1.909
    P32DUMMY            .187     .367       .508
    P33DUMMY            .197     .375       .527
    P34DUMMY           -.106     .367      -.288
    P35DUMMY           -.089     .369      -.242
    P36DUMMY            .516     .377      1.370
    P37DUMMY           -.608     .377     -1.616
    P38DUMMY            .096     .374       .258
    P39DUMMY            .356     .369       .966


 Residual Variances
    IC                 4.150     .139     29.883
    LEG                3.122     .104     29.883


 Intercepts
    IC                 5.974     .328     18.185
    LEG                 .373     .280      1.330


TECHNICAL 4 OUTPUT




     ESTIMATES DERIVED FROM THE MODEL




           ESTIMATED COVARIANCE MATRIX FOR THE LATENT VARIABLES
              IC            LEG           WICH          SCHW          P2DUMMY
              ________      ________      ________      ________      ________
 IC            13.528
 LEG           -7.066        11.795
 WICH          -5.069         8.635        10.179
 SCHW           2.027         -.633         -.487         7.972
 P2DUMMY        -.018          .016          .035         -.046          .026
P3DUMMY         .114         -.047         -.015         -.037         -.001
 P4DUMMY         .077         -.055         -.059         -.060         -.001
 P5DUMMY        -.107         -.026         -.050         -.039         -.001
 P6DUMMY        -.043          .127          .054         -.026         -.001
 P8DUMMY         .035         -.007         -.005          .054         -.001
 P9DUMMY         .017         -.015          .016          .075         -.001
 P10DUMMY       -.034          .019          .007          .030         -.001
 P11DUMMY       -.096          .139          .025          .008         -.001
 P12DUMMY        .046         -.005         -.040         -.040         -.001
 P13DUMMY        .072         -.021          .034         -.037         -.001
 P14DUMMY       -.087          .053          .058         -.026         -.001
 P15DUMMY       -.086          .038          .048         -.028         -.001
 P16DUMMY       -.065          .046          .012          .002         -.001

263

P17DUMMY .086 -.042 -.032 .066 -.001
 P18DUMMY       -.112         -.015         -.006         -.051         -.001
 P19DUMMY       -.111         -.011         -.011         -.065         -.001
 P20DUMMY        .070         -.043         -.019          .019         -.001
 P21DUMMY        .015         -.038         -.013          .007         -.001
 P22DUMMY        .092         -.063         -.057          .002         -.001
 P23DUMMY       -.035         -.001         -.040         -.066         -.001
 P24DUMMY       -.009          .053          .040          .014         -.001
 P25DUMMY        .040          .016          .003          .006         -.001
 P26DUMMY       -.057         -.022         -.025         -.016         -.001
 P27DUMMY        .068          .000          .047          .009         -.001
 P28DUMMY        .004         -.014          .025          .014         -.001
 P29DUMMY        .090         -.042         -.046         -.008         -.001
 P30DUMMY       -.131         -.012         -.022          .026         -.001
 P31DUMMY        .012         -.016         -.031          .090         -.001
 P32DUMMY       -.040          .026          .035         -.005         -.001
 P33DUMMY        .020         -.034         -.036          .072         -.001
 P34DUMMY       -.052          .024          .043          .009         -.001
 P35DUMMY        .003          .001          .015          .048         -.001
 P36DUMMY        .062         -.040         -.053         -.028         -.001
 P37DUMMY        .112         -.066         -.049          .075         -.001
 P38DUMMY        .084         -.030         -.028         -.033         -.001
 P39DUMMY        .021          .018          .021         -.002         -.001






           ESTIMATED COVARIANCE MATRIX FOR THE LATENT VARIABLES
              P3DUMMY       P4DUMMY       P5DUMMY       P6DUMMY       P8DUMMY
              ________      ________      ________      ________      ________
 P3DUMMY         .026
 P4DUMMY        -.001          .026
 P5DUMMY        -.001         -.001          .026
 P6DUMMY        -.001         -.001         -.001          .026
 P8DUMMY        -.001         -.001         -.001         -.001          .026
 P9DUMMY        -.001         -.001         -.001         -.001         -.001
 P10DUMMY       -.001         -.001         -.001         -.001         -.001
 P11DUMMY       -.001         -.001         -.001         -.001         -.001
 P12DUMMY       -.001         -.001         -.001         -.001         -.001
 P13DUMMY       -.001         -.001         -.001         -.001         -.001
 P14DUMMY       -.001         -.001         -.001         -.001         -.001
 P15DUMMY       -.001         -.001         -.001         -.001         -.001
 P16DUMMY       -.001         -.001         -.001         -.001         -.001
 P17DUMMY       -.001         -.001         -.001         -.001         -.001
 P18DUMMY       -.001         -.001         -.001         -.001         -.001
 P19DUMMY       -.001         -.001         -.001         -.001         -.001
 P20DUMMY       -.001         -.001         -.001         -.001         -.001
 P21DUMMY       -.001         -.001         -.001         -.001         -.001
 P22DUMMY       -.001         -.001         -.001         -.001         -.001
 P23DUMMY       -.001         -.001         -.001         -.001         -.001
 P24DUMMY       -.001         -.001         -.001         -.001         -.001
 P25DUMMY       -.001         -.001         -.001         -.001         -.001
 P26DUMMY       -.001         -.001         -.001         -.001         -.001

264

P27DUMMY -.001 -.001 -.001 -.001 -.001
 P28DUMMY       -.001         -.001         -.001         -.001         -.001
 P29DUMMY       -.001         -.001         -.001         -.001         -.001
 P30DUMMY       -.001         -.001         -.001         -.001         -.001
 P31DUMMY       -.001         -.001         -.001         -.001         -.001
 P32DUMMY       -.001         -.001         -.001         -.001         -.001
 P33DUMMY       -.001         -.001         -.001         -.001         -.001
 P34DUMMY       -.001         -.001         -.001         -.001         -.001
 P35DUMMY       -.001         -.001         -.001         -.001         -.001
 P36DUMMY       -.001         -.001         -.001         -.001         -.001
 P37DUMMY       -.001         -.001         -.001         -.001         -.001
 P38DUMMY       -.001         -.001         -.001         -.001         -.001
 P39DUMMY       -.001         -.001         -.001         -.001         -.001




           ESTIMATED COVARIANCE MATRIX FOR THE LATENT VARIABLES
              P9DUMMY       P10DUMMY      P11DUMMY      P12DUMMY      P13DUMMY
              ________      ________      ________      ________      ________
 P9DUMMY         .026
 P10DUMMY       -.001          .026
 P11DUMMY       -.001         -.001          .026
 P12DUMMY       -.001         -.001         -.001          .026
 P13DUMMY       -.001         -.001         -.001         -.001          .026
 P14DUMMY       -.001         -.001         -.001         -.001         -.001
 P15DUMMY       -.001         -.001         -.001         -.001         -.001
 P16DUMMY       -.001         -.001         -.001         -.001         -.001
 P17DUMMY       -.001         -.001         -.001         -.001         -.001
 P18DUMMY       -.001         -.001         -.001         -.001         -.001
 P19DUMMY       -.001         -.001         -.001         -.001         -.001
 P20DUMMY       -.001         -.001         -.001         -.001         -.001
 P21DUMMY       -.001         -.001         -.001         -.001         -.001
 P22DUMMY       -.001         -.001         -.001         -.001         -.001
 P23DUMMY       -.001         -.001         -.001         -.001         -.001
 P24DUMMY       -.001         -.001         -.001         -.001         -.001
 P25DUMMY       -.001         -.001         -.001         -.001         -.001
 P26DUMMY       -.001         -.001         -.001         -.001         -.001
 P27DUMMY       -.001         -.001         -.001         -.001         -.001
 P28DUMMY       -.001         -.001         -.001         -.001         -.001
 P29DUMMY       -.001         -.001         -.001         -.001         -.001
 P30DUMMY       -.001         -.001         -.001         -.001         -.001
 P31DUMMY       -.001         -.001         -.001         -.001         -.001
 P32DUMMY       -.001         -.001         -.001         -.001         -.001
 P33DUMMY       -.001         -.001         -.001         -.001         -.001
 P34DUMMY       -.001         -.001         -.001         -.001         -.001
 P35DUMMY       -.001         -.001         -.001         -.001         -.001
 P36DUMMY       -.001         -.001         -.001         -.001         -.001
 P37DUMMY       -.001         -.001         -.001         -.001         -.001
 P38DUMMY       -.001         -.001         -.001         -.001         -.001
 P39DUMMY       -.001         -.001         -.001         -.001         -.001







265

ESTIMATED COVARIANCE MATRIX FOR THE LATENT VARIABLES
              P14DUMMY      P15DUMMY      P16DUMMY      P17DUMMY      P18DUMMY
              ________      ________      ________      ________      ________
 P14DUMMY        .026
 P15DUMMY       -.001          .026
 P16DUMMY       -.001         -.001          .026
 P17DUMMY       -.001         -.001         -.001          .026
 P18DUMMY       -.001         -.001         -.001         -.001          .026
 P19DUMMY       -.001         -.001         -.001         -.001         -.001
 P20DUMMY       -.001         -.001         -.001         -.001         -.001
 P21DUMMY       -.001         -.001         -.001         -.001         -.001
 P22DUMMY       -.001         -.001         -.001         -.001         -.001
 P23DUMMY       -.001         -.001         -.001         -.001         -.001
 P24DUMMY       -.001         -.001         -.001         -.001         -.001
 P25DUMMY       -.001         -.001         -.001         -.001         -.001
 P26DUMMY       -.001         -.001         -.001         -.001         -.001
 P27DUMMY       -.001         -.001         -.001         -.001         -.001
 P28DUMMY       -.001         -.001         -.001         -.001         -.001
 P29DUMMY       -.001         -.001         -.001         -.001         -.001
 P30DUMMY       -.001         -.001         -.001         -.001         -.001
 P31DUMMY       -.001         -.001         -.001         -.001         -.001
 P32DUMMY       -.001         -.001         -.001         -.001         -.001
 P33DUMMY       -.001         -.001         -.001         -.001         -.001
 P34DUMMY       -.001         -.001         -.001         -.001         -.001
 P35DUMMY       -.001         -.001         -.001         -.001         -.001
 P36DUMMY       -.001         -.001         -.001         -.001         -.001
 P37DUMMY       -.001         -.001         -.001         -.001         -.001
 P38DUMMY       -.001         -.001         -.001         -.001         -.001
 P39DUMMY       -.001         -.001         -.001         -.001         -.001




           ESTIMATED COVARIANCE MATRIX FOR THE LATENT VARIABLES
              P19DUMMY      P20DUMMY      P21DUMMY      P22DUMMY      P23DUMMY
              ________      ________      ________      ________      ________
 P19DUMMY        .026
 P20DUMMY       -.001          .026
 P21DUMMY       -.001         -.001          .026
 P22DUMMY       -.001         -.001         -.001          .026
 P23DUMMY       -.001         -.001         -.001         -.001          .026
 P24DUMMY       -.001         -.001         -.001         -.001         -.001
 P25DUMMY       -.001         -.001         -.001         -.001         -.001
 P26DUMMY       -.001         -.001         -.001         -.001         -.001
 P27DUMMY       -.001         -.001         -.001         -.001         -.001
 P28DUMMY       -.001         -.001         -.001         -.001         -.001
 P29DUMMY       -.001         -.001         -.001         -.001         -.001
 P30DUMMY       -.001         -.001         -.001         -.001         -.001
 P31DUMMY       -.001         -.001         -.001         -.001         -.001
 P32DUMMY       -.001         -.001         -.001         -.001         -.001
 P33DUMMY       -.001         -.001         -.001         -.001         -.001
 P34DUMMY       -.001         -.001         -.001         -.001         -.001
 P35DUMMY       -.001         -.001         -.001         -.001         -.001
 P36DUMMY       -.001         -.001         -.001         -.001         -.001

266

P37DUMMY -.001 -.001 -.001 -.001 -.001
 P38DUMMY       -.001         -.001         -.001         -.001         -.001
 P39DUMMY       -.001         -.001         -.001         -.001         -.001


Mplus VERSION 1.04                                                  PAGE    9
Simultanes Mehrgleichungsmodell fuer die Beziehung




           ESTIMATED COVARIANCE MATRIX FOR THE LATENT VARIABLES
              P24DUMMY      P25DUMMY      P26DUMMY      P27DUMMY      P28DUMMY
              ________      ________      ________      ________      ________
 P24DUMMY        .026
 P25DUMMY       -.001          .026
 P26DUMMY       -.001         -.001          .026
 P27DUMMY       -.001         -.001         -.001          .026
 P28DUMMY       -.001         -.001         -.001         -.001          .026
 P29DUMMY       -.001         -.001         -.001         -.001         -.001
 P30DUMMY       -.001         -.001         -.001         -.001         -.001
 P31DUMMY       -.001         -.001         -.001         -.001         -.001
 P32DUMMY       -.001         -.001         -.001         -.001         -.001
 P33DUMMY       -.001         -.001         -.001         -.001         -.001
 P34DUMMY       -.001         -.001         -.001         -.001         -.001
 P35DUMMY       -.001         -.001         -.001         -.001         -.001
 P36DUMMY       -.001         -.001         -.001         -.001         -.001
 P37DUMMY       -.001         -.001         -.001         -.001         -.001
 P38DUMMY       -.001         -.001         -.001         -.001         -.001
 P39DUMMY       -.001         -.001         -.001         -.001         -.001




           ESTIMATED COVARIANCE MATRIX FOR THE LATENT VARIABLES
              P29DUMMY      P30DUMMY      P31DUMMY      P32DUMMY      P33DUMMY
              ________      ________      ________      ________      ________
 P29DUMMY        .026
 P30DUMMY       -.001          .026
 P31DUMMY       -.001         -.001          .026
 P32DUMMY       -.001         -.001         -.001          .026
 P33DUMMY       -.001         -.001         -.001         -.001          .026
 P34DUMMY       -.001         -.001         -.001         -.001         -.001
 P35DUMMY       -.001         -.001         -.001         -.001         -.001
 P36DUMMY       -.001         -.001         -.001         -.001         -.001
 P37DUMMY       -.001         -.001         -.001         -.001         -.001
 P38DUMMY       -.001         -.001         -.001         -.001         -.001
 P39DUMMY       -.001         -.001         -.001         -.001         -.001




           ESTIMATED COVARIANCE MATRIX FOR THE LATENT VARIABLES
              P34DUMMY      P35DUMMY      P36DUMMY      P37DUMMY      P38DUMMY
              ________      ________      ________      ________      ________
 P34DUMMY        .026
 P35DUMMY       -.001          .026
 P36DUMMY       -.001         -.001          .026
 P37DUMMY       -.001         -.001         -.001          .026

267

P38DUMMY -.001 -.001 -.001 -.001 .026
 P39DUMMY       -.001         -.001         -.001         -.001         -.001




           ESTIMATED COVARIANCE MATRIX FOR THE LATENT VARIABLES
              P39DUMMY
              ________
 P39DUMMY        .026




     Beginning Time:  15:45:47
        Ending Time:  15:45:53
Mplus VERSION 1.04                                                  PAGE   10
Simultanes Mehrgleichungsmodell fuer die Beziehung


       Elapsed Time:  00:00:06






MUTHEN & MUTHEN
11965 Venice Blvd., Suite 407
Los Angeles, CA  90066


Tel: (310) 391-9971
Fax: (310) 391-8971
Web: www.StatModel.com
Support: Support@StatModel.com


Copyright (c) 1998 Muthen & Muthen




268

C.3.3 Group B (pepr & pd questions)

Mplus VERSION 1.04
MUTHEN & MUTHEN
02/02/2001   3:51 PM


INPUT INSTRUCTIONS


  TITLE: Simultanes Mehrgleichungsmodell fuer die Beziehung
  zwischen IC, LEG, WICH und SCHW (mit WICH --> LEG)


  Stichprobe: Fragen PDD, PDI + PEPR, disaggregrierte Daten


  DATA: FILE IS dummy_prod.dat;


  VARIABLE: NAMES ARE


  LEG SCHW WICH IC
  P1DUMMY P2DUMMY P3DUMMY P4DUMMY P5DUMMY P6DUMMY P8DUMMY P9DUMMY P10DUMMY
  P11DUMMY P12DUMMY P13DUMMY P14DUMMY P15DUMMY P16DUMMY P17DUMMY P18DUMMY
  P19DUMMY P20DUMMY P21DUMMY P22DUMMY P23DUMMY P24DUMMY        P25DUMMY P26DUMMY
  P27DUMMY P28DUMMY P29DUMMY P30DUMMY P31DUMMY P32DUMMY P33DUMMY P34DUMMY
  P35DUMMY P36DUMMY P37DUMMY P38DUMMY P39DUMMY;


  USEVARIABLES IC LEG WICH SCHW
  P2DUMMY P3DUMMY P4DUMMY P5DUMMY P6DUMMY P8DUMMY P9DUMMY P10DUMMY
  P11DUMMY P12DUMMY P13DUMMY P14DUMMY P15DUMMY P16DUMMY P17DUMMY P18DUMMY
  P19DUMMY P20DUMMY P21DUMMY P22DUMMY P23DUMMY P24DUMMY        P25DUMMY P26DUMMY
  P27DUMMY P28DUMMY P29DUMMY P30DUMMY P31DUMMY P32DUMMY P33DUMMY P34DUMMY
  P35DUMMY P36DUMMY P37DUMMY P38DUMMY P39DUMMY;


  ANALYSIS: TYPE IS MEANSTRUCTURE;


  MODEL:
      ic ON leg wich schw
      P2DUMMY P3DUMMY P4DUMMY P5DUMMY P6DUMMY P8DUMMY P9DUMMY P10DUMMY
      P11DUMMY P12DUMMY P13DUMMY P14DUMMY P15DUMMY P16DUMMY P17DUMMY P18DUMMY
      P19DUMMY P20DUMMY P21DUMMY P22DUMMY P23DUMMY P24DUMMY P25DUMMY P26DUMMY
      P27DUMMY P28DUMMY P29DUMMY P30DUMMY P31DUMMY P32DUMMY P33DUMMY P34DUMMY
      P35DUMMY P36DUMMY P37DUMMY P38DUMMY P39DUMMY;
      leg ON wich
      P2DUMMY P3DUMMY P4DUMMY P5DUMMY P6DUMMY P8DUMMY P9DUMMY P10DUMMY
      P11DUMMY P12DUMMY P13DUMMY P14DUMMY P15DUMMY P16DUMMY P17DUMMY P18DUMMY
      P19DUMMY P20DUMMY P21DUMMY P22DUMMY P23DUMMY P24DUMMY P25DUMMY P26DUMMY
      P27DUMMY P28DUMMY P29DUMMY P30DUMMY P31DUMMY P32DUMMY P33DUMMY P34DUMMY
      P35DUMMY P36DUMMY P37DUMMY P38DUMMY P39DUMMY;
      [ic leg];


  OUTPUT:



269

Tech4;

















270





Mplus VERSION 1.04                                                  PAGE    2




INPUT READING TERMINATED NORMALLY






Simultanes Mehrgleichungsmodell fuer die Beziehung
zwischen IC, LEG, WICH und SCHW (mit WICH --> LEG)


Stichprobe: Fragen PDD, PDI + PEPR, disaggregrierte Daten


SUMMARY OF ANALYSIS


Mplus VERSION 1.04                                                  PAGE    3
Simultanes Mehrgleichungsmodell fuer die Beziehung


Number of groups                                1
Number of observations                       2470


Number of y-variables                           2
Number of x-variables                          39
Number of continuous latent variables           0


Observed variables in the analysis
   IC          LEG         WICH        SCHW        P2DUMMY     P3DUMMY
   P4DUMMY     P5DUMMY     P6DUMMY     P8DUMMY     P9DUMMY     P10DUMMY
   P11DUMMY    P12DUMMY    P13DUMMY    P14DUMMY    P15DUMMY    P16DUMMY
   P17DUMMY    P18DUMMY    P19DUMMY    P20DUMMY    P21DUMMY    P22DUMMY
   P23DUMMY    P24DUMMY    P25DUMMY    P26DUMMY    P27DUMMY    P28DUMMY
   P29DUMMY    P30DUMMY    P31DUMMY    P32DUMMY    P33DUMMY    P34DUMMY
   P35DUMMY    P36DUMMY    P37DUMMY    P38DUMMY    P39DUMMY




Estimator                                      ML
Maximum number of iterations                 1000
Convergence criterion                    .500D-04


Input data file(s)
  dummy_prod.dat


Input data format  FREE






THE MODEL ESTIMATION TERMINATED NORMALLY







271

TESTS OF MODEL FIT


Chi-Square Test of Model Fit


          Value                    4.340
          Degrees of Freedom           1
          P-Value                  .0372


Loglikelihood


          H0 Value             20369.999
          H1 Value             20372.169


Information Criteria


          Number of Free Parameters             82
          Akaike (AIC)                  -40575.998
          Bayesian (BIC)                -40099.416
          Sample-Size Adjusted BIC      -40359.950
            (n* = (n + 2) / 24)


RMSEA (Root Mean Square Error Of Approximation)


          Estimate                     .037
          90 Percent C.I.              .007   .075
Mplus VERSION 1.04                                                  PAGE    4
Simultanes Mehrgleichungsmodell fuer die Beziehung


          Probability RMSEA <= .05     .656






MODEL RESULTS


                   Estimates     S.E.  Est./S.E.


 IC       ON
    LEG                -.397     .022    -18.224
    WICH                .003     .019       .142
    SCHW                .182     .016     11.248
    P2DUMMY           -1.986     .303     -6.560
    P3DUMMY             .859     .305      2.820
    P4DUMMY            -.082     .309      -.265
    P5DUMMY           -2.250     .304     -7.393
    P6DUMMY            -.300     .303      -.988
    P8DUMMY            -.737     .301     -2.444
    P9DUMMY            1.973     .303      6.512
    P10DUMMY          -1.239     .303     -4.095
    P11DUMMY          -1.008     .307     -3.283
    P12DUMMY           -.452     .302     -1.497
    P13DUMMY            .758     .302      2.509
    P14DUMMY            .061     .301       .203

272

P15DUMMY -1.188 .304 -3.907
    P16DUMMY          -1.523     .302     -5.036
    P17DUMMY           -.119     .310      -.385
    P18DUMMY          -1.944     .302     -6.429
    P19DUMMY          -3.172     .308    -10.285
    P20DUMMY           -.243     .305      -.797
    P21DUMMY            .201     .303       .663
    P22DUMMY          -1.483     .303     -4.895
    P23DUMMY          -1.638     .304     -5.380
    P24DUMMY           -.853     .302     -2.827
    P25DUMMY            .984     .302      3.265
    P26DUMMY           -.252     .302      -.834
    P27DUMMY           -.774     .303     -2.558
    P28DUMMY          -1.178     .303     -3.894
    P29DUMMY          -1.272     .305     -4.165
    P30DUMMY          -3.355     .308    -10.899
    P31DUMMY            .935     .306      3.056
    P32DUMMY          -1.732     .305     -5.669
    P33DUMMY          -1.406     .302     -4.664
    P34DUMMY          -1.457     .302     -4.820
    P35DUMMY          -1.105     .303     -3.647
    P36DUMMY           -.255     .306      -.833
    P37DUMMY           1.289     .307      4.196
    P38DUMMY            .264     .302       .876
    P39DUMMY            .512     .302      1.692


 LEG      ON
    WICH                .591     .013     46.850
    P2DUMMY            -.592     .279     -2.124
    P3DUMMY            -.201     .281      -.717
    P4DUMMY           -1.420     .284     -5.005
    P5DUMMY             .521     .280      1.861
    P6DUMMY            1.053     .279      3.770
    P8DUMMY             .110     .278       .394
    P9DUMMY            -.721     .278     -2.590
    P10DUMMY            .161     .279       .578
    P11DUMMY           2.056     .280      7.340
    P12DUMMY            .646     .279      2.318
    P13DUMMY           -.590     .278     -2.122
    P14DUMMY           -.033     .278      -.118
    P15DUMMY          -1.454     .279     -5.212
    P16DUMMY           -.259     .279      -.930
    P17DUMMY          -1.947     .283     -6.892
    P18DUMMY            .179     .279       .644
    P19DUMMY          -1.278     .282     -4.529
    P20DUMMY           -.592     .279     -2.119
    P21DUMMY           -.990     .279     -3.545
    P22DUMMY           -.618     .279     -2.211
    P23DUMMY            .505     .279      1.810
    P24DUMMY            .077     .279       .278
    P25DUMMY           -.190     .278      -.681
    P26DUMMY           -.510     .278     -1.831

273

P27DUMMY .519 .279 1.858
    P28DUMMY          -1.157     .278     -4.155
    P29DUMMY           1.678     .280      6.000
    P30DUMMY            .158     .284       .556
    P31DUMMY          -1.004     .281     -3.574
    P32DUMMY          -1.368     .281     -4.876
    P33DUMMY            .072     .278       .259
    P34DUMMY            .215     .278       .773
    P35DUMMY           -.204     .280      -.731
    P36DUMMY            .083     .283       .295
    P37DUMMY          -1.496     .279     -5.369
    P38DUMMY            .196     .278       .702
    P39DUMMY           -.398     .279     -1.429


 Residual Variances
    IC                 2.951     .084     35.143
    LEG                2.517     .072     35.143


 Intercepts
    IC                 5.235     .265     19.754
    LEG                3.970     .225     17.671


TECHNICAL 4 OUTPUT




     ESTIMATES DERIVED FROM THE MODEL




           ESTIMATED COVARIANCE MATRIX FOR THE LATENT VARIABLES
              IC            LEG           WICH          SCHW          P2DUMMY
              ________      ________      ________      ________      ________
 IC             5.681
 LEG           -2.555         6.198
 WICH          -1.736         4.869         7.977
 SCHW           1.771         -.862        -1.286         5.938
 P2DUMMY        -.042         -.001          .014         -.040          .026
 P3DUMMY         .045         -.021         -.037         -.019         -.001
 P4DUMMY         .042         -.072         -.069         -.012         -.001
P5DUMMY        -.052          .007         -.021         -.037         -.001
 P6DUMMY        -.004          .031         -.005         -.009         -.001
 P8DUMMY        -.014          .028          .032         -.005         -.001
 P9DUMMY         .073          .006          .032          .031         -.001
 P10DUMMY       -.017          .008         -.003          .010         -.001
 P11DUMMY       -.023          .047         -.022          .028         -.001
 P12DUMMY       -.009          .033          .017         -.008         -.001
 P13DUMMY        .022          .021          .052         -.038         -.001
 P14DUMMY        .004          .027          .037         -.021         -.001
 P15DUMMY       -.007         -.029          .005         -.026         -.001
 P16DUMMY       -.021          .003          .007          .018         -.001
 P17DUMMY        .053         -.079         -.057          .043         -.001
 P18DUMMY       -.050          .023          .020         -.041         -.001
 P19DUMMY       -.051         -.059         -.052         -.047         -.001

274

P20DUMMY .025 -.010 -.001 .056 -.001
 P21DUMMY        .029         -.024         -.006         -.015         -.001
 P22DUMMY       -.015         -.013         -.005          .009         -.001
 P23DUMMY       -.043          .016         -.005         -.057         -.001
 P24DUMMY       -.011          .019          .019          .011         -.001
 P25DUMMY        .034          .018          .029         -.014         -.001
 P26DUMMY        .004          .010          .029         -.015         -.001
 P27DUMMY       -.008          .018         -.002          .011         -.001
 P28DUMMY       -.009         -.009          .027          .004         -.001
 P29DUMMY       -.029          .043         -.013          .021         -.001
 P30DUMMY       -.052         -.032         -.072          .032         -.001
 P31DUMMY        .065         -.042         -.036          .036         -.001
 P32DUMMY       -.007         -.048         -.031          .014         -.001
 P33DUMMY       -.033          .025          .029         -.018         -.001
 P34DUMMY       -.036          .047          .059          .020         -.001
 P35DUMMY       -.006         -.006         -.011          .017         -.001
 P36DUMMY        .022         -.025         -.057          .006         -.001
 P37DUMMY        .074         -.024          .016          .069         -.001
 P38DUMMY        .010          .025          .022         -.023         -.001
 P39DUMMY        .033          .004          .014          .020         -.001












           ESTIMATED COVARIANCE MATRIX FOR THE LATENT VARIABLES
              P3DUMMY       P4DUMMY       P5DUMMY       P6DUMMY       P8DUMMY
              ________      ________      ________      ________      ________
 P3DUMMY         .026
 P4DUMMY        -.001          .026
 P5DUMMY        -.001         -.001          .026
 P6DUMMY        -.001         -.001         -.001          .026
 P8DUMMY        -.001         -.001         -.001         -.001          .026
 P9DUMMY        -.001         -.001         -.001         -.001         -.001
 P10DUMMY       -.001         -.001         -.001         -.001         -.001
 P11DUMMY       -.001         -.001         -.001         -.001         -.001
 P12DUMMY       -.001         -.001         -.001         -.001         -.001
 P13DUMMY       -.001         -.001         -.001         -.001         -.001
 P14DUMMY       -.001         -.001         -.001         -.001         -.001
 P15DUMMY       -.001         -.001         -.001         -.001         -.001
 P16DUMMY       -.001         -.001         -.001         -.001         -.001
 P17DUMMY       -.001         -.001         -.001         -.001         -.001
 P18DUMMY       -.001         -.001         -.001         -.001         -.001
 P19DUMMY       -.001         -.001         -.001         -.001         -.001
 P20DUMMY       -.001         -.001         -.001         -.001         -.001
 P21DUMMY       -.001         -.001         -.001         -.001         -.001
P22DUMMY       -.001         -.001         -.001         -.001         -.001
 P23DUMMY       -.001         -.001         -.001         -.001         -.001
 P24DUMMY       -.001         -.001         -.001         -.001         -.001
 P25DUMMY       -.001         -.001         -.001         -.001         -.001
 P26DUMMY       -.001         -.001         -.001         -.001         -.001

275

P27DUMMY -.001 -.001 -.001 -.001 -.001
 P28DUMMY       -.001         -.001         -.001         -.001         -.001
 P29DUMMY       -.001         -.001         -.001         -.001         -.001
 P30DUMMY       -.001         -.001         -.001         -.001         -.001
 P31DUMMY       -.001         -.001         -.001         -.001         -.001
 P32DUMMY       -.001         -.001         -.001         -.001         -.001
 P33DUMMY       -.001         -.001         -.001         -.001         -.001
 P34DUMMY       -.001         -.001         -.001         -.001         -.001
 P35DUMMY       -.001         -.001         -.001         -.001         -.001
 P36DUMMY       -.001         -.001         -.001         -.001         -.001
 P37DUMMY       -.001         -.001         -.001         -.001         -.001
 P38DUMMY       -.001         -.001         -.001         -.001         -.001
 P39DUMMY       -.001         -.001         -.001         -.001         -.001




           ESTIMATED COVARIANCE MATRIX FOR THE LATENT VARIABLES
              P9DUMMY       P10DUMMY      P11DUMMY      P12DUMMY      P13DUMMY
              ________      ________      ________      ________      ________
 P9DUMMY         .026
 P10DUMMY       -.001          .026
 P11DUMMY       -.001         -.001          .026
 P12DUMMY       -.001         -.001         -.001          .026
 P13DUMMY       -.001         -.001         -.001         -.001          .026
 P14DUMMY       -.001         -.001         -.001         -.001         -.001
 P15DUMMY       -.001         -.001         -.001         -.001         -.001
 P16DUMMY       -.001         -.001         -.001         -.001         -.001
 P17DUMMY       -.001         -.001         -.001         -.001         -.001
 P18DUMMY       -.001         -.001         -.001         -.001         -.001
 P19DUMMY       -.001         -.001         -.001         -.001         -.001
 P20DUMMY       -.001         -.001         -.001         -.001         -.001
 P21DUMMY       -.001         -.001         -.001         -.001         -.001
 P22DUMMY       -.001         -.001         -.001         -.001         -.001
 P23DUMMY       -.001         -.001         -.001         -.001         -.001
 P24DUMMY       -.001         -.001         -.001         -.001         -.001
 P25DUMMY       -.001         -.001         -.001         -.001         -.001
 P26DUMMY       -.001         -.001         -.001         -.001         -.001
 P27DUMMY       -.001         -.001         -.001         -.001         -.001
 P28DUMMY       -.001         -.001         -.001         -.001         -.001
 P29DUMMY       -.001         -.001         -.001         -.001         -.001
 P30DUMMY       -.001         -.001         -.001         -.001         -.001
 P31DUMMY       -.001         -.001         -.001         -.001         -.001
 P32DUMMY       -.001         -.001         -.001         -.001         -.001
 P33DUMMY       -.001         -.001         -.001         -.001         -.001
 P34DUMMY       -.001         -.001         -.001         -.001         -.001
 P35DUMMY       -.001         -.001         -.001         -.001         -.001
 P36DUMMY       -.001         -.001         -.001         -.001         -.001
 P37DUMMY       -.001         -.001         -.001         -.001         -.001
 P38DUMMY       -.001         -.001         -.001         -.001         -.001
 P39DUMMY       -.001         -.001         -.001         -.001         -.001




           ESTIMATED COVARIANCE MATRIX FOR THE LATENT VARIABLES

276

Mplus VERSION 1.04 PAGE 8
Simultanes Mehrgleichungsmodell fuer die Beziehung


              P14DUMMY      P15DUMMY      P16DUMMY      P17DUMMY      P18DUMMY
              ________      ________      ________      ________      ________
 P14DUMMY        .026
 P15DUMMY       -.001          .026
 P16DUMMY       -.001         -.001          .026
 P17DUMMY       -.001         -.001         -.001          .026
 P18DUMMY       -.001         -.001         -.001         -.001          .026
 P19DUMMY       -.001         -.001         -.001         -.001         -.001
 P20DUMMY       -.001         -.001         -.001         -.001         -.001
 P21DUMMY       -.001         -.001         -.001         -.001         -.001
 P22DUMMY       -.001         -.001         -.001         -.001         -.001
 P23DUMMY       -.001         -.001         -.001         -.001         -.001
 P24DUMMY       -.001         -.001         -.001         -.001         -.001
 P25DUMMY       -.001         -.001         -.001         -.001         -.001
 P26DUMMY       -.001         -.001         -.001         -.001         -.001
 P27DUMMY       -.001         -.001         -.001         -.001         -.001
 P28DUMMY       -.001         -.001         -.001         -.001         -.001
 P29DUMMY       -.001         -.001         -.001         -.001         -.001
 P30DUMMY       -.001         -.001         -.001         -.001         -.001
 P31DUMMY       -.001         -.001         -.001         -.001         -.001
 P32DUMMY       -.001         -.001         -.001         -.001         -.001
 P33DUMMY       -.001         -.001         -.001         -.001         -.001
 P34DUMMY       -.001         -.001         -.001         -.001         -.001
 P35DUMMY       -.001         -.001         -.001         -.001         -.001
 P36DUMMY       -.001         -.001         -.001         -.001         -.001
 P37DUMMY       -.001         -.001         -.001         -.001         -.001
 P38DUMMY       -.001         -.001         -.001         -.001         -.001
 P39DUMMY       -.001         -.001         -.001         -.001         -.001




           ESTIMATED COVARIANCE MATRIX FOR THE LATENT VARIABLES
              P19DUMMY      P20DUMMY      P21DUMMY      P22DUMMY      P23DUMMY
              ________      ________      ________      ________      ________
 P19DUMMY        .026
 P20DUMMY       -.001          .026
 P21DUMMY       -.001         -.001          .026
 P22DUMMY       -.001         -.001         -.001          .026
 P23DUMMY       -.001         -.001         -.001         -.001          .026
 P24DUMMY       -.001         -.001         -.001         -.001         -.001
 P25DUMMY       -.001         -.001         -.001         -.001         -.001
 P26DUMMY       -.001         -.001         -.001         -.001         -.001
 P27DUMMY       -.001         -.001         -.001         -.001         -.001
 P28DUMMY       -.001         -.001         -.001         -.001         -.001
 P29DUMMY       -.001         -.001         -.001         -.001         -.001
 P30DUMMY       -.001         -.001         -.001         -.001         -.001
 P31DUMMY       -.001         -.001         -.001         -.001         -.001
 P32DUMMY       -.001         -.001         -.001         -.001         -.001
 P33DUMMY       -.001         -.001         -.001         -.001         -.001
 P34DUMMY       -.001         -.001         -.001         -.001         -.001

277

P35DUMMY -.001 -.001 -.001 -.001 -.001
 P36DUMMY       -.001         -.001         -.001         -.001         -.001
 P37DUMMY       -.001         -.001         -.001         -.001         -.001
 P38DUMMY       -.001         -.001         -.001         -.001         -.001
 P39DUMMY       -.001         -.001         -.001         -.001         -.001




           ESTIMATED COVARIANCE MATRIX FOR THE LATENT VARIABLES
Mplus VERSION 1.04                                                  PAGE    9
Simultanes Mehrgleichungsmodell fuer die Beziehung


              P24DUMMY      P25DUMMY      P26DUMMY      P27DUMMY      P28DUMMY
              ________      ________      ________      ________      ________
 P24DUMMY        .026
 P25DUMMY       -.001          .026
 P26DUMMY       -.001         -.001          .026
 P27DUMMY       -.001         -.001         -.001          .026
 P28DUMMY       -.001         -.001         -.001         -.001          .026
 P29DUMMY       -.001         -.001         -.001         -.001         -.001
 P30DUMMY       -.001         -.001         -.001         -.001         -.001
 P31DUMMY       -.001         -.001         -.001         -.001         -.001
 P32DUMMY       -.001         -.001         -.001         -.001         -.001
 P33DUMMY       -.001         -.001         -.001         -.001         -.001
 P34DUMMY       -.001         -.001         -.001         -.001         -.001
 P35DUMMY       -.001         -.001         -.001         -.001         -.001
 P36DUMMY       -.001         -.001         -.001         -.001         -.001
 P37DUMMY       -.001         -.001         -.001         -.001         -.001
 P38DUMMY       -.001         -.001         -.001         -.001         -.001
 P39DUMMY       -.001         -.001         -.001         -.001         -.001




           ESTIMATED COVARIANCE MATRIX FOR THE LATENT VARIABLES
              P29DUMMY      P30DUMMY      P31DUMMY      P32DUMMY      P33DUMMY
              ________      ________      ________      ________      ________
 P29DUMMY        .026
 P30DUMMY       -.001          .026
 P31DUMMY       -.001         -.001          .026
 P32DUMMY       -.001         -.001         -.001          .026
 P33DUMMY       -.001         -.001         -.001         -.001          .026
 P34DUMMY       -.001         -.001         -.001         -.001         -.001
 P35DUMMY       -.001         -.001         -.001         -.001         -.001
 P36DUMMY       -.001         -.001         -.001         -.001         -.001
 P37DUMMY       -.001         -.001         -.001         -.001         -.001
 P38DUMMY       -.001         -.001         -.001         -.001         -.001
 P39DUMMY       -.001         -.001         -.001         -.001         -.001




           ESTIMATED COVARIANCE MATRIX FOR THE LATENT VARIABLES
              P34DUMMY      P35DUMMY      P36DUMMY      P37DUMMY      P38DUMMY
              ________      ________      ________      ________      ________
 P34DUMMY        .026
 P35DUMMY       -.001          .026

278

P36DUMMY -.001 -.001 .026
 P37DUMMY       -.001         -.001         -.001          .026
 P38DUMMY       -.001         -.001         -.001         -.001          .026
 P39DUMMY       -.001         -.001         -.001         -.001         -.001




           ESTIMATED COVARIANCE MATRIX FOR THE LATENT VARIABLES
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     Beginning Time:  15:51:15
        Ending Time:  15:51:21
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Mplus VERSION 1.04                                                  PAGE   10
Simultanes Mehrgleichungsmodell fuer die Beziehung






MUTHEN & MUTHEN
11965 Venice Blvd., Suite 407
Los Angeles, CA  90066


Tel: (310) 391-9971
Fax: (310) 391-8971
Web: www.StatModel.com
Support: Support@StatModel.com


Copyright (c) 1998 Muthen & Muthen


279

C.4 Questions employed to derive Privacy Attitudes

1. (CONCERN ON PRIVACY)

Wie starke Sorgen machen Sie sich über die Gefahr einer Einbuße Ihrer Privatheit durch die Nutzung des Internets?

iquest sorge mich sehr

iquest sorge mich ein bisschen

iquest sorge mich nicht so sehr

iquest sorge mich gar nicht

2. (INDEX SCENARIO 1)

Szenario 1: Stellen Sie sich vor, Sie gingen auf die WWW-Seite Ihrer Hausbank und entdeckten ein elektronisches Formular, welches Sie ausfüllen können, um daraufhin auf Sie persönlich zugeschnittene Anlageempfehlungen zu bekommen. Auf dem Formular werden Sie gebeten, Angaben zu Ihrem Einkommen, Ihren gegenwärtigen Anlagen und Sparzielen zu machen. Gleichzeitig werden keine Angaben zu Ihrer Person, Ihrem Namen oder andere Informationen abgefragt, von denen auf Ihre Person geschlossen werden könnte. Ausgehend von den Informationen auf der Website sieht es so aus, als könnten Sie durch das Ausfüllen des Formulars nützliche Informationen bekommen.

Würden Sie das Formular ausfüllen?

iquest Auf gar keinen Fall

iquest Wahrscheinlich nicht

iquest Ich bin nicht sicher

iquest Wahrscheinlich schon

iquest Ganz bestimmt

Wie würden Sie sich in Szenario 1 verhalten, angenommen das Formular würde doch nach Ihrem Namen und Ihrer Adresse fragen, so dass Ihnen die Bank einen Anlageführer zuschicken kann? Nehmen Sie an, daß Sie davon ausgehen, dass dieser Anlageführer für Sie nützlich sein könnte.

Würden Sie die Angaben (Namen und Adresse) machen?

iquest Auf gar keinen Fall

iquest Wahrscheinlich nicht

iquest Ich bin nicht sicher

iquest Wahrscheinlich schon

iquest Ganz bestimmt


280

2. (INDEX SCENARIO 3)

Szenario 3: Während Sie online Informationen zu einem Ihrer Lieblingshobbies suchen, landen Sie auf einer Website, die ein paar wirklich interessante Informationen enthält. Die Site wird gesponsert von einer Firma, deren Name Sie noch nie gehört haben, aber die Leute scheinen sich auszukennen. Sie finden ein Formular auf der Seite, welches Sie ausfüllen können, um eine kostenlose Broschüre und einige Zusatzinformationen zu erhalten sowie Coupons auf einige Produkte der Firma. Das Formular verlangt Ihren Namen und Ihre Postanschrift. Wie würden Sie voraussichtlich reagieren?

iquest Ich würde die verlangte Information eingeben

iquest Ich würde versuchen, die Firma anzurufen, um so die Broschüre und die Coupons zu bekommen

iquest Ich würde wahrscheinlich auf die Möglichkeit verzichten, die Broschüre und die Coupons zu
bekommen

Wie würden Sie Ihr Verhalten in Szenario 3 ändern, enthielte die Website eine Police zum Umgang mit Ihren Daten (privacy policy). In der Police steht, daß die Firma Ihren Namen und Ihre Adresse ausschließlich nutzen wird, um Ihnen die angeforderte Broschüre und die Coupons zuzuschicken.

iquest An meiner Reaktion würde sich nichts ändern

iquest Ich würde die verlangte Information eher eingeben

iquest Ich würde weniger gewillt sein, die verlangte Information einzugeben

Wie würde sich Ihr Verhalten in Szenario 3 ändern, enthielte die Website nicht nur eine Privacy Police, sondern außerdem noch das Gütesiegel einer anerkannten Organisation, wie z.B. dem TÜV, die für die Vertrauenswürdigkeit der Website garantiert?

iquest An meiner Reaktion würde sich nichts ändern

iquest Ich würde die verlangte Information eher eingeben

iquest Ich würde weniger gewillt sein, die verlangte Information einzugeben

Wie würden Sie Ihr Verhalten in Szenario 3 ändern, gäbe es ein Gesetz, welches dem Betreiber der WWW Seite verbietet, Ihren Namen und Ihre Adresse für einen anderen Zweck als Ihre Anfrage einzusetzen.

iquest An meiner Reaktion würde sich nichts ändern

iquest Ich würde die verlangte Information eher eingeben

iquest Ich würde weniger gewillt sein, die verlangte Information einzugeben

Wie würde sich Ihr Verhalten in Szenario 3 ändern, enthielte die Website eine Privacy Police, die Ihnen erklärt, daß die Firma Ihren Namen und Ihre Adresse nicht nur dafür nutzen möchte, Ihnen die angeforderte Broschüre und die Coupons zuzuschicken, sondern auch, um Ihnen in Zukunft regelmäßig Neuigkeiten zu ihren Produkten zukommen zu lassen. Ferner plant die Firma Ihre Daten auch anderen Unternehmen zur Verfügung zu stellen, die Produkte verkaufen, für die Sie sich eventuell auch interessieren könnten.

iquest An meiner Reaktion würde sich nichts ändern

iquest Ich würde die verlangte Information eher eingeben

iquest Ich würde weniger gewillt sein, die verlangte Information einzugeben

Vor dem Hintergrund von Frage 15: Wären Sie eher bereit, die Information einzugeben, wenn die Website Ihnen die Möglichkeit geben würde, auf Wunsch von ihrer Mailinglist jederzeit wieder entfernt zu werden?

iquest ja

iquest nein

 


281


282

2. (INDEX SCENARIO 4)

Szenario 4: Sie besuchen eine Website, die Nachrichten, Wetter und Sportergebnisse bereitstellt. Die Seite sieht so aus, als würden Sie sie gerne häufiger besuchen. Die Website fordert Sie auf, Ihre Postleitzahl anzugeben sowie einige Fragen zu Ihren Interessen zu beantworten, damit die Interaktion mit der Website in Zukunft auf Sie persönlich zugeschnitten werden kann. Die Privacy Police der Website erklärt, daß alle Informationen, die Sie angeben sowie Ihr Suchverhalten auf der Website registriert werden. Beides wird genutzt, um die Seiten auf Sie ‚zuzuschneiden‘ und um die Seite insgesamt zu erhalten und zu verbessern. Gewährleistet ist, daß Ihr Name nie mit diesen Informationen assoziiert wird. Wie würden Sie voraussichtlich reagieren?

iquest Ich würde die verlangte Information eingeben

iquest Ich würde die verlangte Information nicht eingeben

iquest Ich würde die verlangte Information vielleicht eingeben, aber wahrscheinlich würde ich lügen

Wie würdest Du in Szenario 4 reagieren, wenn die Website Sie außerdem nach einigen Informationen über Ihren Computer fragt, damit die Seite besser auf Sie zugeschnitten werden kann. Die Fragen könnten Informationen zu dem von Ihnen genutzten Betriebssystem, dem Browser, dem Monitor oder Modem enthalten.

iquest An meiner Reaktion würde sich nichts ändern

iquest Ich würde die verlangte Information eher eingeben

iquest Ich würde weniger gewillt sein, die verlangte Information einzugeben

iquest Ich würde die verlangte Information vielleicht eingeben, aber wahrscheinlich würde ich lügen

Wie würden Sie in Szenario 4 reagieren, wenn die Website von Ihnen demographische oder soziographische Informationen abfragt, eingeschlossen Ihr Alter, Ihr Geschlecht und Ihr Familieneinkommen?

iquest An meiner Reaktion würde sich nichts ändern

iquest Ich würde die verlangte Information eher eingeben

iquest Ich würde weniger gewillt sein, die verlangte Information einzugeben

iquest Ich würde die verlangte Information vielleicht eingeben, aber wahrscheinlich würde ich lügen

Wie würden Sie in Szenario 4 reagieren, wenn die Website Ihren Namen abfragt?

iquest An meiner Reaktion würde sich nichts ändern

iquest Ich würde die verlangte Information eher eingeben

iquest Ich würde weniger gewillt sein, die verlangte Information einzugeben

iquest Ich würde die verlangte Information vielleicht eingeben, aber wahrscheinlich würde ich lügen

Wie würden Sie in Szenario 4 reagieren, wenn die Website Ihren Namen wissen möchte, ihre Privacy Police jedoch aussagt, daß wenn Sie die Website über 3 Monate nicht besuchen, Ihr Name und alle Informationen gelöscht werden, die man über Sie gesammelt hat.

iquest An meiner Reaktion würde sich nichts ändern

iquest Ich würde die verlangte Information eher eingeben

iquest Ich würde weniger gewillt sein, die verlangte Information einzugeben

iquest Ich würde die verlangte Information vielleicht eingeben, aber wahrscheinlich würde ich lügen

 

4. NAME

Beim Besuch von Websites, die Informationen über User sammeln, besteht bei vielen Leuten die Haltung, daß sie einige Informationen grundsätzlich bedenkenlos herausgeben, während sie andere Informationen nur unter besonderen Umständen von sich preisgeben. Wieder andere Informationen würden sie nur sehr ungern oder nie auf einer Website hinterlassen. Bitte sagen Sie uns, wie wohl Sie sich dabei fühlen, die folgenden Informationen auf einer Website anzugeben.

Ihren Vor- und Nachnamen

iquest Ich würde mich immer wohl fühlen, diese Information auf einer Website anzugeben.

iquest Ich würde mich normalerweise wohl fühlen, diese Information auf einer Website anzugeben.

iquest Ich würde mich manchmal wohl fühlen, diese Information auf einer Website anzugeben.

iquest Ich würde mich selten wohl fühlen, diese Information auf einer Website anzugeben.

iquest Ich würde mich nie wohl fühlen, diese Information auf einer Website anzugeben.

5. ADDRESS

Ihre Postanschrift

iquest Ich würde mich immer wohl fühlen, diese Information auf einer Website anzugeben.

iquest Ich würde mich normalerweise wohl fühlen, diese Information auf einer Website anzugeben.

iquest Ich würde mich manchmal wohl fühlen, diese Information auf einer Website anzugeben.

iquest Ich würde mich selten wohl fühlen, diese Information auf einer Website anzugeben.

iquest Ich würde mich nie wohl fühlen, diese Information auf einer Website anzugeben.

6. EMAIL ADDRESS

Ihre e-mail Adresse

iquest Ich würde mich immer wohl fühlen, diese Information auf einer Website anzugeben.

iquest Ich würde mich normalerweise wohl fühlen, diese Information auf einer Website anzugeben.

iquest Ich würde mich manchmal wohl fühlen, diese Information auf einer Website anzugeben.

iquest Ich würde mich selten wohl fühlen, diese Information auf einer Website anzugeben.

_Ich würde mich nie wohl fühlen, diese Information auf einer Website anzugeben.

7. PHONE NUMBER

Ihre Telefonnummer

iquest Ich würde mich immer wohl fühlen, diese Information auf einer Website anzugeben.

iquest Ich würde mich normalerweise wohl fühlen, diese Information auf einer Website anzugeben.

iquest Ich würde mich manchmal wohl fühlen, diese Information auf einer Website anzugeben.

iquest Ich würde mich selten wohl fühlen, diese Information auf einer Website anzugeben.

iquest Ich würde mich nie wohl fühlen, diese Information auf einer Website anzugeben.


283

8. COMPUTER

Informationen über Ihren Computer, Hardware und Software

iquest Ich würde mich immer wohl fühlen, diese Information auf einer Website anzugeben.

iquest Ich würde mich normalerweise wohl fühlen, diese Information auf einer Website anzugeben.

iquest Ich würde mich manchmal wohl fühlen, diese Information auf einer Website anzugeben.

iquest Ich würde mich selten wohl fühlen, diese Information auf einer Website anzugeben.

iquest Ich würde mich nie wohl fühlen, diese Information auf einer Website anzugeben.

9. SALARY

Ihr jährliches Haushaltseinkommen

iquest Ich würde mich immer wohl fühlen, diese Information auf einer Website anzugeben.

iquest Ich würde mich normalerweise wohl fühlen, diese Information auf einer Website anzugeben.

iquest Ich würde mich manchmal wohl fühlen, diese Information auf einer Website anzugeben.

iquest Ich würde mich selten wohl fühlen, diese Information auf einer Website anzugeben.+

iquest Ich würde mich nie wohl fühlen, diese Information auf einer Website anzugeben.

10. CREDIT CARD NUMBER

Ihre Kreditkartennummer

iquest Ich würde mich immer wohl fühlen, diese Information auf einer Website anzugeben.

iquest Ich würde mich normalerweise wohl fühlen, diese Information auf einer Website anzugeben.

iquest Ich würde mich manchmal wohl fühlen, diese Information auf einer Website anzugeben.

iquest Ich würde mich selten wohl fühlen, diese Information auf einer Website anzugeben.

iquest Ich würde mich nie wohl fühlen, diese Information auf einer Website anzugeben.

11. HOBBY AND INTEREST

Informationen über Ihre Hobbies

iquest Ich würde mich immer wohl fühlen, diese Information auf einer Website anzugeben.

iquest Ich würde mich normalerweise wohl fühlen, diese Information auf einer Website anzugeben.

iquest Ich würde mich manchmal wohl fühlen, diese Information auf einer Website anzugeben.

iquest Ich würde mich selten wohl fühlen, diese Information auf einer Website anzugeben.

iquest Ich würde mich nie wohl fühlen, diese Information auf einer Website anzugeben.

12. HEALTNEW

Informationen über Ihre Gesundheit und Krankheitsgeschichte

iquest Ich würde mich immer wohl fühlen, diese Information auf einer Website anzugeben.

iquest Ich würde mich normalerweise wohl fühlen, diese Information auf einer Website anzugeben.

iquest Ich würde mich manchmal wohl fühlen, diese Information auf einer Website anzugeben.

iquest Ich würde mich selten wohl fühlen, diese Information auf einer Website anzugeben.

iquest Ich würde mich nie wohl fühlen, diese Information auf einer Website anzugeben.


284

13. AGENEW

Ihr Alter

iquest Ich würde mich immer wohl fühlen, diese Information auf einer Website anzugeben.

iquest Ich würde mich normalerweise wohl fühlen, diese Information auf einer Website anzugeben.

iquest Ich würde mich manchmal wohl fühlen, diese Information auf einer Website anzugeben.

iquest Ich würde mich selten wohl fühlen, diese Information auf einer Website anzugeben.

iquest Ich würde mich nie wohl fühlen, diese Information auf einer Website anzugeben.


285

C.5 Agglomorative Clustering Table

Average Linkage Hierarchical Clustering (cameras and jackets)

Case Processing Summary

Cases

 

 

 

 

 

Valid

 

Missing

 

Total

 

N

Percent

N

Percent

N

Percent

171

97.7

4

2.3

175

100.0

a Squared Euclidean Distance used

b Average Linkage (Between Groups)

Agglomeration schedule

 

Cluster Combined

 

Coefficients

Stage Cluster First Appears

 

Next Stage

Stage

Cluster 1

Cluster 2

 

Cluster 1

Cluster 2

 

1

94

206

1.979

0

0

37

2

66

185

2.633

0

0

23

3

6

111

2.654

0

0

19

4

71

196

3.029

0

0

45

5

102

134

3.240

0

0

29

6

184

226

3.672

0

0

8

7

46

79

3.717

0

0

48

8

184

186

4.213

6

0

39

9

193

234

4.251

0

0

45

10

15

40

4.433

0

0

121

11

76

131

4.461

0

0

71

12

51

117

4.564

0

0

48

13

92

221

4.620

0

0

49

14

212

222

4.697

0

0

58

15

121

127

4.795

0

0

80

16

50

231

4.829

0

0

103

17

85

138

4.883

0

0

96

18

14

189

4.892

0

0

22

19

6

59

5.191

3

0

30

20

9

194

5.306

0

0

39

21

84

135

5.402

0

0

84

22

14

235

5.450

18

0

55

23

65

66

5.589

0

2

29

24

47

195

5.709

0

0

47


286

25

32

62

5.751

0

0

116

26

44

211

5.756

0

0

86

27

36

133

5.805

0

0

42

28

42

199

5.908

0

0

62

29

65

102

6.188

23

5

55

30

6

240

6.283

19

0

56

31

54

208

6.294

0

0

88

32

29

77

6.362

0

0

91

33

89

118

6.413

0

0

157

34

113

223

6.420

0

0

85

35

10

41

6.463

0

0

85

36

128

220

6.465

0

0

78

37

94

110

6.477

1

0

104

38

4

61

6.479

0

0

110

39

9

184

6.527

20

8

70

40

35

104

6.534

0

0

94

41

11

237

6.549

0

0

113

42

36

108

6.641

27

0

97

43

2

87

6.647

0

0

57

44

8

90

6.746

0

0

69

45

71

193

6.862

4

9

93

46

22

101

6.881

0

0

112

47

47

188

6.885

24

0

82

48

46

51

6.913

7

12

87

49

7

92

7.034

0

13

81

50

20

55

7.290

0

0

129

51

27

232

7.374

0

0

86

52

18

45

7.395

0

0

114

53

43

99

7.426

0

0

76

54

100

136

7.475

0

0

77

55

14

65

7.709

22

29

88

56

6

216

7.756

30

0

109

57

2

239

7.764

43

0

70

58

33

212

7.849

0

14

89

59

34

58

7.867

0

0

90

60

52

233

7.883

0

0

111

61

129

207

7.935

0

0

120

62

23

42

8.069

0

28

119

63

17

139

8.122

0

0

109

64

38

236

8.123

0

0

112

65

203

218

8.267

0

0

92

66

183

197

8.292

0

0

125

67

1

192

8.296

0

0

101

68

97

137

8.466

0

0

127

69

8

53

8.477

44

0

75

70

2

9

8.564

57

39

89


287

71

76

88

8.600

11

0

98

72

26

132

8.625

0

0

142

73

16

28

8.660

0

0

106

74

73

215

8.668

0

0

95

75

8

83

8.862

69

0

120

76

43

122

8.964

53

0

139

77

100

225

9.085

54

0

102

78

106

128

9.099

0

36

105

79

48

120

9.224

0

0

155

80

31

121

9.278

0

15

100

81

7

72

9.304

49

0

108

82

47

91

9.365

47

0

115

83

12

200

9.468

0

0

137

84

84

123

9.564

21

0

152

85

10

113

9.631

35

34

103

86

27

44

9.643

51

26

117

87

46

103

9.690

48

0

99

88

14

54

9.738

55

31

107

89

2

33

9.823

70

58

93

90

34

98

10.246

59

0

107

91

29

63

10.252

32

0

101

92

203

205

10.336

65

0

124

93

2

71

10.481

89

45

116

94

21

35

10.493

0

40

113

95

73

229

10.634

74

0

123

96

67

85

10.662

0

17

144

97

36

109

10.704

42

0

151

98

76

82

10.903

71

0

122

99

46

68

11.180

87

0

108

100

31

96

11.209

80

0

154

101

1

29

11.541

67

91

114

102

100

202

11.752

77

0

130

103

10

50

12.005

85

16

140

104

78

94

12.016

0

37

124

105

5

106

12.030

0

78

126

106

16

126

12.034

73

0

121

107

14

34

12.036

88

90

125

108

7

46

12.058

81

99

128

109

6

17

12.178

56

63

118

110

4

116

12.360

38

0

129

111

52

125

12.522

60

0

150

112

22

38

12.552

46

64

145

113

11

21

12.666

41

94

133

114

1

18

12.679

101

52

148

115

47

60

12.940

82

0

118

116

2

32

13.016

93

25

131


288

117

27

228

13.411

86

0

133

118

6

47

13.572

109

115

136

119

23

264

13.579

62

0

128

120

8

129

13.598

75

61

137

121

15

16

13.976

10

106

130

122

76

140

14.011

98

0

138

123

73

219

14.104

95

0

131

124

78

203

14.202

104

92

135

125

14

183

14.510

107

66

135

126

3

5

14.545

0

105

136

127

97

217

14.551

68

0

146

128

7

23

14.686

108

119

143

129

4

20

14.800

110

50

149

130

15

100

14.954

121

102

140

131

2

73

15.201

116

123

144

132

49

115

15.232

0

0

165

133

11

27

15.302

113

117

141

134

210

214

15.479

0

0

163

135

14

78

15.886

125

124

141

136

3

6

16.302

126

118

143

137

8

12

16.651

120

83

146

138

39

76

17.185

0

122

145

139

43

190

17.238

76

0

155

140

10

15

17.280

103

130

154

141

11

14

17.324

133

135

153

142

26

254

17.642

72

0

149

143

3

7

17.843

136

128

153

144

2

67

17.979

131

96

150

145

22

39

18.133

112

138

151

146

8

97

18.915

137

127

159

147

130

209

18.919

0

0

157

148

1

30

18.975

114

0

162

149

4

26

19.040

129

142

161

150

2

52

19.359

144

111

152

151

22

36

19.398

145

97

160

152

2

84

19.728

150

84

156

153

3

11

19.971

143

141

158

154

10

31

20.025

140

100

156

155

43

48

21.035

139

79

158

156

2

10

21.271

152

154

159

157

89

130

21.331

33

147

162

158

3

43

22.019

153

155

161

159

2

8

22.838

156

146

166

160

22

224

23.981

151

0

164

161

3

4

24.039

158

149

163

162

1

89

24.489

148

157

166


289

163

3

210

26.181

161

134

164

164

3

22

27.735

163

160

165

165

3

49

28.229

164

132

167

166

1

2

28.497

162

159

167

167

1

3

31.844

166

165

169

168

37

56

43.079

0

0

169

169

1

37

57.659

167

168

170

170

1

112

59.228

169

0

0


290

C.6 Cluster tables, K-means analysis, Camera shoppers

Initial Cluster Centres

 

Cluster

 

 

 

 

1

2

3

4

Z-Wert(INDEX 1)

-.7530

-.4230

.0822

.5618

Z-Wert(INDEX 3)

-.7870

.1864

.1447

.2676

Z-Wert(INDEX 4)

-.2496

-.2971

-.3902

.5284

Z-Wert(CONCERN ON PRIVACY)

-.1315

-.1793

-.1473

.2258

Z-Wert(NAME)

-1.1447

-.4315

.4126

.5417

Z-Wert(ADDRESS)

-1.1217

-.4069

.3580

.5743

Z-Wert(EMAIL USAGE)

-.7703

-.4992

.0120

.6639

Z-Wert(PHONE NUMBER)

-1.1542

-.1811

.3522

.5112

Z-Wert(COMPUTER)

-.5974

.0233

-.5213

.6218

Z-Wert(MONEYNEW)

-1.0439

.4240

-.3432

.5935

Z-Wert(CREDIT CARD NUMBER)

.1117

-1.0819

.2094

.2868

Z-Wert(HOBBY AND INTERESTS)

-.7066

.0246

-.6891

.8149

Z-Wert(HEALTH)

-.8764

.5939

-.4967

.5193

Z-Wert(AGE)

-.7420

-.0198

-.5064

.7205

Iteration History

 

Change in Cluster Centers

 

 

 

Iteration

1

2

3

4

1

.281

.503

.422

.206

2

.000

.000

.000

.000

Final Cluster Centres

 

Cluster

 

 

 

 

1

2

3

4

Z-Wert(INDEX 1)

-.6470

-.7472

.1850

.6132

Z-Wert(INDEX 3)

-.8163

.1962

.1735

.2007

Z-Wert(INDEX 4)

-.3343

-.2759

-.6846

.5269

Z-Wert(CONCERN ON PRIVACY)

-.2124

-.3106

-.0101

.1517

Z-Wert(NAME)

-1.0424

-.5599

.3563

.4757

Z-Wert(ADDRESS)

-1.0488

-.6046

.4411

.4654

Z-Wert(EMAIL USAGE)

-.8038

-.4687

.0674

.6202

Z-Wert(PHONE NUMBER)

-1.2049

-.1855

.2831

.4606

Z-Wert(COMPUTER)

-.7552

.0447

-.5905

.6549

Z-Wert(MONEYNEW)

-1.0210

.3327

-.5319

.6411

Z-Wert(CREDIT CARD NUMBER)

.1999

-.8702

.2439

.2549

Z-Wert(HOBBY AND INTERESTS)

-.6917

-.0607

-.7215

.8267

Z-Wert(HEALTH)

-.8612

.5978

-.4953

.4536

Z-Wert(AGE)

-.7509

-.1307

-.5374

.7302


291

Number of Cases in each Cluster

Cluster

1

30.000

 

2

21.000

 

3

30.000

 

4

48.000

Valid

 

129.000

Missing

 

42.000


292

C.7 Cluster tables, K-means analysis, Jacket shoppers

Initial Cluster Centers

 

Cluster

 

 

 

 

1

2

3

4

Z-Wert(INDEX 1)

-.7530

-.4230

.0822

.5618

Z-Wert(INDEX 3)

-.7870

.1864

.1447

.2676

Z-Wert(INDEX 4)

-.2496

-.2971

-.3902

.5284

Z-Wert(CONCERN ON PRIVACY)

-.1315

-.1793

-.1473

.2258

Z-Wert(NAME)

-1.1447

-.4315

.4126

.5417

Z-Wert(ADDRESS)

-1.1217

-.4069

.3580

.5743

Z-Wert(EMAIL USAGE)

-.7703

-.4992

.0120

.6639

Z-Wert(PHONE NUMBER)

-1.1542

-.1811

.3522

.5112

Z-Wert(COMPUTER)

-.5974

.0233

-.5213

.6218

Z-Wert(MONEYNEW)

-1.0439

.4240

-.3432

.5935

Z-Wert(CREDIT CARD NUMBER)

.1117

-1.0819

.2094

.2868

Z-Wert(HOBBY AND INTERESTS)

-.7066

.0246

-.6891

.8149

Z-Wert(HEALTH)

-.8764

.5939

-.4967

.5193

Z-Wert(AGE)

-.7420

-.0198

-.5064

.7205

Iteration History

 

Change in Cluster Centers

 

 

 

Iteration

1

2

3

4

1

1.159

1.801

.898

.598

2

.000

.000

.300

.197

3

.000

.000

.000

.000

Final Cluster Centers

 

Cluster

 

 

 

 

1

2

3

4

Z-Wert(INDEX 1)

-.5822

-.6905

-.3464

.3918

Z-Wert(INDEX 3)

-.4516

-.1761

-.3342

.2500

Z-Wert(INDEX 4)

-.6986

.3446

-.0664

.5159

Z-Wert(CONCERN ON PRIVACY)

-.0075

-.8214

-.2705

.2723

Z-Wert(NAME)

-.7426

-.5180

.3715

.2669

Z-Wert(ADDRESS)

-.8040

-.4317

.2849

.2307

Z-Wert(EMAIL USAGE)

-.6629

-.9254

.1141

.6712

Z-Wert(PHONE NUMBER)

-1.0823

.0000

.6494

.5730

Z-Wert(COMPUTER)

-.4845

-.9104

-.4623

.8748

Z-Wert(MONEYNEW)

-.5343

.2950

.1030

.4363

Z-Wert(CREDIT CARD NUMBER)

-.4300

-1.2150

.1134

.4650

Z-Wert(HOBBY AND INTERESTS)

-.6798

-.3210

-.5183

.9560

Z-Wert(HEALTH)

-.6750

.6312

-.1204

.7482

Z-Wert(AGE)

-.4283

-1.0032

-.3708

.7948


293

Number of Cases in each Cluster

Cluster

1

11.000

 

2

4.000

 

3

10.000

 

4

17.000

Valid

 

42.000

Missing

 

129.000


294

C.8 Cluster tables of K-means analysis all products

Table C8: Cluster tables, K-means analysis, Camera & Jacket shoppers

Initial Cluster Centers

Variables

Cluster

 

 

 

 

1

2

3

4

Z-Wert(INDEX 1)

-.7530

-.4230

.0822

.5618

Z-Wert(INDEX 3)

-.7870

.1864

.1447

.2676

Z-Wert(INDEX 4)

-.2496

-.2971

-.3902

.5284

Z-Wert(CONCERN ON PRIVACY)

-.1315

-.1793

-.1473

.2258

Z-Wert(NAME)

-1.1447

-.4315

.4126

.5417

Z-Wert(ADDRESS)

-1.1217

-.4069

.3580

.5743

Z-Wert(EMAIL USAGE)

-.7703

-.4992

.0120

.6639

Z-Wert(PHONE NUMBER)

-1.1542

-.1811

.3522

.5112

Z-Wert(COMPUTER)

-.5974

.0233

-.5213

.6218

Z-Wert(MONEYNEW)

-1.0439

.4240

-.3432

.5935

Z-Wert(CREDIT CARD NUMBER)

.1117

-1.0819

.2094

.2868

Z-Wert(HOBBY AND INTERESTS)

-.7066

.0246

-.6891

.8149

Z-Wert(HEALTH)

-.8764

.5939

-.4967

.5193

Z-Wert(AGE)

-.7420

-.0198

-.5064

.7205

Iteration History

 

Change in Cluster Centers

 

 

 

Iteration

1

2

3

4

1

.402

.534

.227

.212

2

6.937E-02

.165

.000

5.399E-02

3

.000

.000

.000

.000


295

Final Cluster Centers

 

Cluster

 

 

 

 

1

2

3

4

Z-Wert(INDEX 1)

-.6358

-.7402

.0476

.5986

Z-Wert(INDEX 3)

-.7125

.1060

.0867

.2380

Z-Wert(INDEX 4)

-.4303

-.1145

-.4898

.5259

Z-Wert(CONCERN ON PRIVACY)

-.1580

-.3589

-.0661

.2062

Z-Wert(NAME)

-.9566

-.5794

.3534

.4806

Z-Wert(ADDRESS)

-.9865

-.6028

.4109

.4517

Z-Wert(EMAIL USAGE)

-.7649

-.3957

.0742

.6417

Z-Wert(PHONE NUMBER)

-1.1736

-.1784

.3906

.5204

Z-Wert(COMPUTER)

-.6835

-.0031

-.5431

.7023

Z-Wert(MONEYNEW)

-.8993

.2859

-.3773

.6227

Z-Wert(CREDIT CARD NUMBER)

.0353

-.7898

.2290

.2967

Z-Wert(HOBBY AND INTERESTS)

-.6763

.0095

-.6540

.8871

Z-Wert(HEALTH)

-.8081

.6265

-.3880

.5355

Z-Wert(AGE)

-.6535

-.2286

-.4468

.7775

Number of Cases in each Cluster

Cluster

1

42.000

 

2

45.000

 

3

34.000

 

4

50.000

Valid

 

171.000

Missing

 

4.000


© Die inhaltliche Zusammenstellung und Aufmachung dieser Publikation sowie die elektronische Verarbeitung sind urheberrechtlich geschützt. Jede Verwertung, die nicht ausdrücklich vom Urheberrechtsgesetz zugelassen ist, bedarf der vorherigen Zustimmung. Das gilt insbesondere für die Vervielfältigung, die Bearbeitung und Einspeicherung und Verarbeitung in elektronische Systeme.

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