方法证据记录
Polytomous Confirmatory Factor Analysis
Polytomous confirmatory factor analysis (CFA) tests a pre-specified factor structure when items have three or more ordered response categories (e.g., Likert scales). By working with polychoric correlations and robust estimators such as WLSMV, it avoids the distortions that arise when ordered categorical data are treated as continuous.
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
Polytomous Confirmatory Factor Analysis
分类方法记录 · latent-structure / psychometrics
- Flora, D. B. & Curran, P. J. (2004). An empirical evaluation of alternative methods of estimation for confirmatory factor analysis with ordinal data. Psychological Methods, 9(4), 466–491. · DOI 10.1037/1082-989X.9.4.466
- Muthen, B. (1984). A general structural equation model with dichotomous, ordered categorical, and continuous latent variable indicators. Psychometrika, 49(1), 115–132. · DOI 10.1007/BF02294210
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