A Comparison of Four Factor Analytical Methods Used with Ordinal Data
Advisor:Gugiu, P. Cristian
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Series/Report no.:2014 Edward F. Hayes Graduate Research Forum. 28th
In education research, ordinal data is the norm but does not meet the assumptions of most statistical methods and thus is often analyzed inappropriately. Using a dataset typical of the field, this study compared four factor analytic methods: a traditional exploratory factor analysis (EFA), a full-information EFA, and two EFAs within the confirmatory factor analysis framework (E/CFA) conducted according to the Jöreskog method and the Gugiu method. Methods were compared on initial model fit, replication in a confirmatory factor analysis, and the stability, interpretability, and reliability of the models. On these criteria, methods appropriate for ordinal data produced better models, the E/CFAs outperformed the EFAs, and the Gugiu method demonstrated greater model interpretability and stability than the Jöreskog method. These results suggest that the Gugiu E/CFA may be the preferable factor analytic method for use with ordinal data.
Education and Human Ecology: 2nd Place (The Ohio State University Edward F. Hayes Graduate Research Forum)
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