Polihotomna Analiza Istraživačkog Faktorijela
Polytomous exploratory factor analysis extends standard EFA to ordered categorical (Likert-type) response data by replacing the Pearson correlation matrix with a polychoric correlation matrix. It recovers the latent continuous variable that each polytomous item is assumed to reflect, yielding more accurate factor loadings and better-defined factor structures than treating ordinal scores as if they were continuous.
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Method map
The neighbourhood of related methods — select a node to explore.
Izvori
- 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 ↗
- Muthén, B. (1978). Contributions to factor analysis of dichotomous variables. Psychometrika, 43(4), 551–560. DOI: 10.1007/BF02293813 ↗
Kako citirati ovu stranicu
ScholarGate. (2026, June 3). Polytomous Exploratory Factor Analysis. ScholarGate. https://scholargate.app/sr/psychometrics/polytomous-exploratory-factor-analysis
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
- Konfirmatorna faktorska analiza (CFA)Psihometrija↔ compare
- Експлоративна факторска анализа (ЕФА)Statistika↔ compare
- Модел одговора са оценама (GRM)Psihometrija↔ compare
- Теорија одговора на ставке (Item Response Theory - IRT)Psihometrija↔ compare
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