Arbeitspapier
Visualizing exploratory factor analysis models
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).
- Sprache
-
Englisch
- Erschienen in
-
Series: SFB 649 Discussion Paper ; No. 2008,012
- Klassifikation
-
Wirtschaft
Multiple or Simultaneous Equation Models; Multiple Variables: Other
Neural Networks and Related Topics
Computational Techniques; Simulation Modeling
- Thema
-
Factor analysis
visualization
questionnaire
evaluation of teaching
Faktorenanalyse
Computergraphik
Studium
Bewertung
Theorie
Deutschland
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Klinke, Sigbert
Wagner, Cornelia
- Ereignis
-
Veröffentlichung
- (wer)
-
Humboldt University of Berlin, Collaborative Research Center 649 - Economic Risk
- (wo)
-
Berlin
- (wann)
-
2008
- Handle
- Letzte Aktualisierung
- 10.03.2025, 10:42 UTC
Datenpartner
Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Arbeitspapier
Beteiligte
- Klinke, Sigbert
- Wagner, Cornelia
- Humboldt University of Berlin, Collaborative Research Center 649 - Economic Risk
Entstanden
- 2008
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