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Visualizing exploratory factor analysis models

Author

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  • Sigbert Klinke
  • Cornelia Wagner

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).

Suggested Citation

  • Sigbert Klinke & Cornelia Wagner, 2008. "Visualizing exploratory factor analysis models," SFB 649 Discussion Papers SFB649DP2008-012, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    • Handle: RePEc:hum:wpaper:sfb649dp2008-012
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    File URL: http://sfb649.wiwi.hu-berlin.de/papers/pdf/SFB649DP2008-012.pdf
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    Cited by:

    1. Artür Manukyan & Erhan Çene & Ahmet Sedef & Ibrahim Demir, 2014. "Dandelion plot: a method for the visualization of R-mode exploratory factor analyses," Computational Statistics, Springer, vol. 29(6), pages 1769-1791, December.

    More about this item

    Keywords

    Factor analysis; visualization; questionnaire; evaluation of teaching;
    All these keywords.

    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; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques

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