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| Inwariantność pomiaru w skróconych wersjach× | Kwantitativna analiza czynnikowa (CFA)× | |
|---|---|---|
| Dziedzina | Psychometria | Psychometria |
| Rodzina | Latent structure | Latent structure |
| Rok powstania≠ | 2000s | 1969 |
| Twórca≠ | Adapted from Vandenberg & Lance (2000) and Millsap & Kwok (2004) invariance framework applied to short-form scales | Karl Gustav Jöreskog |
| Typ≠ | Measurement equivalence testing | Hypothesis-testing latent variable model |
| Źródło pierwotne≠ | Millsap, R. E., & Kwok, O. M. (2004). Evaluating the impact of partial factor loading and intercept invariance on selection in two populations. Psychological Methods, 9(1), 93–115. DOI ↗ | Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202. DOI ↗ |
| Inne nazwy | SF-MI, abbreviated scale invariance, short-form factorial invariance, brief measure invariance | CFA, confirmatory FA, measurement model, restricted factor analysis |
| Pokrewne≠ | 6 | 4 |
| Podsumowanie≠ | Short form measurement invariance testing evaluates whether an abbreviated version of a psychological scale measures the same latent construct equivalently across groups or conditions. It applies the hierarchical multigroup confirmatory factor analysis invariance sequence — configural, metric, scalar, and strict — specifically to short-form instruments, ensuring that brevity does not introduce measurement bias when comparing subgroups. | Confirmatory factor analysis tests a researcher-specified factor structure against observed data. Unlike exploratory approaches, the researcher decides in advance which indicators load on which latent factor, and the model is evaluated by how closely the implied covariance matrix reproduces the sample covariance matrix. CFA is central to scale validation, construct validity assessment, and measurement invariance testing. |
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