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| Analiza czynnikowa potwierdzająca× | Eksploracyjna analiza czynnikowa (EFA)× | |
|---|---|---|
| Dziedzina≠ | Psychometria | Statystyka |
| Rodzina | Latent structure | Latent structure |
| Rok powstania≠ | 1969 | — |
| Twórca≠ | Karl Jöreskog | — |
| Typ≠ | Measurement model / latent variable analysis | Latent variable / dimension reduction |
| Źródło pierwotne≠ | Brown, T. A. (2015). Confirmatory Factor Analysis for Applied Research (2nd ed.). Guilford Press. ISBN: 978-1462515363 | Fabrigar, L. R., Wegener, D. T., MacCallum, R. C. & Strahan, E. J. (1999). Evaluating the use of exploratory factor analysis in psychological research. Psychological Methods, 4(3), 272–299. DOI ↗ |
| Inne nazwy | Doğrulayıcı Faktör Analizi — Ölçek Doğrulama (CFA), confirmatory factor analysis, measurement model testing | common factor analysis, açımlayıcı faktör analizi, factor analysis |
| Pokrewne≠ | 6 | 4 |
| Podsumowanie≠ | Confirmatory factor analysis is a measurement modelling technique that tests whether a hypothesised factor structure — typically derived from theory or an earlier exploratory analysis — fits observed data from a new sample. Developed by Karl Jöreskog in 1969, it became the dominant tool for validating psychological scales because it requires the researcher to specify in advance which items belong to which latent factor and then assesses the adequacy of that specification against explicit statistical fit criteria. | Exploratory factor analysis reduces a large set of observed variables into a smaller number of latent common factors. It is widely used in scale development and psychometrics to uncover the dimensional structure that underlies a set of correlated items, without specifying that structure in advance. |
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