Exploratory Structural Equation Modeling, Integrating CFA and EFA: Application to Students' Evaluations of University Teaching
University of Oxford · University of California, Los Angeles · +6 more institutions
Abstract
This study is a methodological-substantive synergy, demonstrating the power and flexibility of exploratory structural equation modeling (ESEM) methods that integrate confirmatory and exploratory factor analyses (CFA and EFA), as applied to substantively important questions based on multidimentional students' evaluations of university teaching (SETs). For these data, there is a well established ESEM structure but typical CFA models do not fit the data and substantially inflate correlations among the nine SET factors (median rs = .34 for ESEM, .72 for CFA) in a way that undermines discriminant validity and usefulness as diagnostic feedback. A 13-model taxonomy of ESEM measurement invariance is proposed, showing…
Citation impact
- FWCI
- 35.37
- Percentile
- 100%
- References
- 84
Authors
7- HWHerbert W. MarshCorresponding
University of Oxford
- BMBengt Muthén
University of California, Los Angeles, University of California System
- TATihomir Asparouhov
Muthén & Muthén (United States)
- OLOliver Lüdtke
Max Planck Society, Max Planck Institute for Human Development
- ARAlexander Robitzsch
Institute for Economic Education
Topics & keywords
- Structural equation modeling
- Confirmatory factor analysis
- Goodness of fit
- Latent variable
- Psychology
- Statistics
- Measurement invariance
- Environmental scanning electron microscope
- Reduced inequalities