Krahasoni metodat
Shqyrtoni metodat e zgjedhura krah për krah; rreshtat që ndryshojnë janë të theksuar.
| Testimi i Invariancës së Matjes Ordinale× | Analiza Konfirmuese Ordinale e Faktorëve× | |
|---|---|---|
| Fusha | Psikometri | Psikometri |
| Familja | Latent structure | Latent structure |
| Viti i origjinës≠ | 1984–2011 | 1984 |
| Krijuesi≠ | Roger Millsap; Bengt Muthén | Bengt O. Muthén |
| Lloji≠ | Multi-group model comparison | Latent variable / structural |
| Burimi themelues≠ | Millsap, R. E. (2011). Statistical Approaches to Measurement Invariance. Routledge. ISBN: 978-1848728936 | 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 ↗ |
| Emërtime të tjera | ordinal MI, measurement invariance for ordinal data, ordinal CFA invariance, categorical measurement invariance | CFA for ordinal data, polychoric CFA, WLSMV CFA, categorical CFA |
| Të lidhura≠ | 6 | 5 |
| Përmbledhja≠ | Ordinal measurement invariance testing evaluates whether a multi-group confirmatory factor model holds equivalent measurement properties across groups when scale items are ordinal — such as Likert-type response scales. It uses polychoric correlations and categorical estimators (WLSMV/DWLS) rather than Pearson-based methods, correcting the systematic bias that arises when ordinal data are treated as continuous. | Ordinal confirmatory factor analysis (Ordinal CFA) tests a pre-specified factor structure when the observed indicators are ordinal — typically Likert-type survey items. By using polychoric correlations and robust estimators such as WLSMV, it avoids the bias that arises from treating categorical responses as continuous. |
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