Compara mètodes
Revisa els mètodes seleccionats l'un al costat de l'altre; les files que difereixen es ressalten.
| Anàlisi d'ítems multigrup× | Anàlisi Factorial Confirmatori Multigrup (MG-CFA)× | |
|---|---|---|
| Camp | Psicometria | Psicometria |
| Família | Latent structure | Latent structure |
| Any d'origen≠ | 1986 | 1971 |
| Autor original≠ | Classical test theory tradition; systematised by Crocker & Algina (1986) | Karl Jöreskog |
| Tipus≠ | Comparative item-level analysis | Measurement model / invariance test |
| Font seminal≠ | Crocker, L. & Algina, J. (1986). Introduction to Classical and Modern Test Theory. Holt, Rinehart and Winston. ISBN: 978-0030616341 | Vandenberg, R. J. & Lance, C. E. (2000). A review and synthesis of the measurement invariance literature: Suggestions, practices, and recommendations for organizational research. Organizational Research Methods, 3(1), 4–70. DOI ↗ |
| Àlies | MGIA, group-comparative item analysis, subgroup item analysis, cross-group item analysis | MG-CFA, multi-group CFA, measurement invariance testing, multi-sample CFA |
| Relacionats | 6 | 6 |
| Resum≠ | Multi-group item analysis computes classical item statistics — difficulty, discrimination, and corrected item-total correlations — separately for each subgroup in a sample and then compares those statistics across groups. It is a standard diagnostic step in scale development and test fairness evaluation, revealing items that behave differently for men versus women, across age cohorts, or across cultural groups before more formal DIF testing. | Multi-group confirmatory factor analysis tests whether a measurement model holds equivalently across two or more groups — such as cultures, genders, or time points. By imposing increasingly stringent equality constraints and comparing model fit, it determines whether comparisons of latent mean scores are justified. |
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