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2006-12-11Buch DOI: 10.18452/4013
Formative Measurement Models in Covariance Structure Analysis
dc.contributor.authorHildebrandt, Lutz
dc.contributor.authorTemme, Dirk
dc.date.accessioned2017-06-15T23:19:28Z
dc.date.available2017-06-15T23:19:28Z
dc.date.created2006-12-14
dc.date.issued2006-12-11
dc.identifier.issn1860-5664
dc.identifier.urihttp://edoc.hu-berlin.de/18452/4665
dc.description.abstractMany researchers seem to be unsure about how to specify formative measurement models in software programs like LISREL or AMOS and to establish identification of the corresponding structural equation model. In order to make identification easier, a new, mainly graphically orientedapproach is presented for a specific class of recursive models with formativeindicators. Using this procedure it is shown that some models have erroneously beenconsidered underidentified. Furthermore, it is shown that specifying formative indicators asexogenous variables rises serious conceptual and substantial issues in the case that theformative construct is truly endogenous (i. e. influenced by more remote causes). Anempirical study on the effects and causes of brand competence illustrates this point.eng
dc.language.isoeng
dc.publisherHumboldt-Universität zu Berlin, Wirtschaftswissenschaftliche Fakultät
dc.subjectIdentificationeng
dc.subjectFormative Indicatorseng
dc.subjectLatent Variableseng
dc.subjectCovariance Structure Analysiseng
dc.subject.ddc330 Wirtschaft
dc.titleFormative Measurement Models in Covariance Structure Analysis
dc.typebook
dc.subtitleSpecification and Identification
dc.identifier.urnurn:nbn:de:kobv:11-10071705
dc.identifier.doihttp://dx.doi.org/10.18452/4013
dc.subject.dnb17 Wirtschaft
local.edoc.container-titleSonderforschungsbereich 649: Ökonomisches Risiko
local.edoc.pages18
local.edoc.type-nameBuch
local.edoc.container-typeseries
local.edoc.container-type-nameSchriftenreihe
local.edoc.container-volume2006
local.edoc.container-issue83
local.edoc.container-year2006
local.edoc.container-erstkatid2195055-6

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