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Visualizing exploratory factor analysis models

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Author Info
Sigbert Klinke
Cornelia Wagner

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Abstract

Exploratory 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).

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File URL: http://sfb649.wiwi.hu-berlin.de/papers/pdf/SFB649DP2008-012.pdf
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Publisher Info
Paper provided by Sonderforschungsbereich 649, Humboldt University, Berlin, Germany in its series SFB 649 Discussion Papers with number SFB649DP2008-012.

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Length: 10 pages
Date of creation: Jan 2008
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Handle: RePEc:hum:wpaper:sfb649dp2008-012

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Related research
Keywords: Factor analysis; visualization; questionnaire; evaluation of teaching;

Find related papers by JEL classification:
C39 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Other
C45 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Neural Networks and Related Topics
C63 - Mathematical and Quantitative Methods - - Mathematical Methods and Programming - - - Computational Techniques

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This page was last updated on 2009-12-3.

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