A new look at the big five factor structure through exploratory structural equation modeling.
University of Oxford · Max Planck Society · +4 more institutions
Abstract
NEO instruments are widely used to assess Big Five personality factors, but confirmatory factor analyses (CFAs) conducted at the item level do not support their a priori structure due, in part, to the overly restrictive CFA assumptions. We demonstrate that exploratory structural equation modeling (ESEM), an integration of CFA and exploratory factor analysis (EFA), overcomes these problems with responses (N = 3,390) to the 60-item NEO-Five-Factor Inventory: (a) ESEM fits the data better and results in substantially more differentiated (less correlated) factors than does CFA; (b) tests of gender invariance with the 13-model ESEM taxonomy of full measurement invariance of factor loadings, factor…
Citation impact
- FWCI
- 41.45
- Percentile
- 100%
- References
- 104
Authors
7Topics & keywords
- Psychology
- Agreeableness
- Structural equation modeling
- Conscientiousness
- Measurement invariance
- Confirmatory factor analysis
- Openness to experience
- Big Five personality traits
- Gender equality