Visualizing exploratory factor analysis models

Sigbert Klinke and Cornelia Wagner

No 2008-012, SFB 649 Discussion Papers from Humboldt University Berlin, Collaborative Research Center 649: Economic Risk

Abstract: Exploratory 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).

Keywords: Factor analysis; visualization; questionnaire; evaluation of teaching (search for similar items in EconPapers)
JEL-codes: C39 C45 C63 (search for similar items in EconPapers)
Date: 2008
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