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2008-01-24Buch DOI: 10.18452/4104
Visualizing exploratory factor analysis models
dc.contributor.authorKlinke, Sigbert
dc.contributor.authorWagner, Cornelia
dc.date.accessioned2017-06-15T23:37:56Z
dc.date.available2017-06-15T23:37:56Z
dc.date.created2008-01-24
dc.date.issued2008-01-24
dc.identifier.issn1860-5664
dc.identifier.urihttp://edoc.hu-berlin.de/18452/4756
dc.description.abstractExploratory factor analysis (EFA) is an important tool in data analyses, particularly in social science. Usually four steps are carried out which contain a large number of options. One important option is the number of factors and the association of variables with a factor. Our tools aim to visualize various models with different numbers in parallel of factors and to analyze which consequences a specific option has.We apply our method to data collected at the School of Business and Economics for evaluation of lectures by students. These data were analyzed by Zhou (2004) and Reichelt (2007).eng
dc.language.isoeng
dc.publisherHumboldt-Universität zu Berlin, Wirtschaftswissenschaftliche Fakultät
dc.subjectFactor analysiseng
dc.subjectvisualizationeng
dc.subjectquestionnaireeng
dc.subjectevaluation of teachingeng
dc.subject.ddc330 Wirtschaft
dc.titleVisualizing exploratory factor analysis models
dc.typebook
dc.identifier.urnurn:nbn:de:kobv:11-10083821
dc.identifier.doihttp://dx.doi.org/10.18452/4104
local.edoc.container-titleSonderforschungsbereich 649: Ökonomisches Risiko
local.edoc.pages10
local.edoc.type-nameBuch
local.edoc.container-typeseries
local.edoc.container-type-nameSchriftenreihe
local.edoc.container-volume2008
local.edoc.container-issue12
local.edoc.container-year2008
local.edoc.container-erstkatid2195055-6

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