Uporedite metode
Pregledajte izabrane metode jednu pored druge; redovi koji se razlikuju su istaknuti.
| Višerazinska analiza diferencijalnog funkcionisanja stavki (Multilevel DIF)× | Višeslojna konfirmatorna faktorska analiza (MCFA)× | |
|---|---|---|
| Oblast | Psihometrija | Psihometrija |
| Porodica | Latent structure | Latent structure |
| Godina nastanka≠ | 2001 | 1994 |
| Tvorac≠ | Kamata (2001) and subsequent multilevel IRT/DIF literature | Bengt O. Muthen |
| Tip≠ | Bias detection / multilevel measurement model | Latent variable model / measurement model |
| Temeljni izvor≠ | French, B. F., & Finch, W. H. (2008). Multigroup confirmatory factor analysis: Locating the invariant referent sets. Structural Equation Modeling: A Multidisciplinary Journal, 15(1), 96–113. DOI ↗ | Muthen, B. O. (1994). Multilevel covariance structure analysis. Sociological Methods & Research, 22(3), 376–398. DOI ↗ |
| Drugi nazivi | multilevel DIF, hierarchical DIF analysis, cross-level DIF, ML-DIF | MCFA, multilevel measurement model, two-level CFA, hierarchical CFA |
| Srodne≠ | 5 | 6 |
| Sažetak≠ | Multilevel DIF analysis detects whether individual test or survey items function differently across groups when respondents are clustered within higher-level units — such as students nested in schools, employees in organizations, or patients in clinics. By accounting for hierarchical data structure, it separates genuine item bias from artificial DIF signals caused by ignoring clustering. | Multilevel confirmatory factor analysis tests a pre-specified factor structure while simultaneously accounting for the non-independence of observations caused by clustered data. It decomposes item variance into within-group and between-group components, fitting a separate measurement model at each level, making it the standard tool for validating psychometric scales administered within natural groups such as classrooms, clinics, or organisations. |
| ScholarGateSkup podataka ↗ |
|
|