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dc.contributor.authorKlinke, Sigberten
dc.contributor.authorWagner, Corneliaen
dc.date.accessioned2008-02-21-
dc.date.accessioned2009-07-23T15:03:35Z-
dc.date.available2009-07-23T15:03:35Z-
dc.date.issued2008-
dc.identifier.urihttp://hdl.handle.net/10419/25254-
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 an 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 dats collected at the School of Business and Economics for evaluation of lectures by students. These data were analyzed by Zhou (2004) and Reichelt (2007).en
dc.language.isoengen
dc.publisher|aHumboldt University of Berlin, Collaborative Research Center 649 - Economic Risk |cBerlinen
dc.relation.ispartofseries|aSFB 649 Discussion Paper |x2008,012en
dc.subject.jelC39en
dc.subject.jelC45en
dc.subject.jelC63en
dc.subject.ddc330en
dc.subject.keywordFactor analysisen
dc.subject.keywordvisualizationen
dc.subject.keywordquestionnaireen
dc.subject.keywordevaluation of teachingen
dc.subject.stwFaktorenanalyseen
dc.subject.stwComputergraphiken
dc.subject.stwStudiumen
dc.subject.stwBewertungen
dc.subject.stwTheorieen
dc.subject.stwDeutschlanden
dc.titleVisualizing exploratory factor analysis models-
dc.type|aWorking Paperen
dc.identifier.ppn558751237en
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungenen

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