Compară metode
Examinează metodele selectate una lângă alta; rândurile care diferă sunt evidențiate.
| Analiza Factorială Confirmatorie Multilevel (MCFA)× | Modelarea ecuațiilor structurale (SEM)× | |
|---|---|---|
| Domeniu≠ | Psihometrie | Statistică |
| Familie | Latent structure | Latent structure |
| Anul apariției≠ | 1994 | 1970 |
| Autorul original≠ | Bengt O. Muthen | Karl Jöreskog (LISREL framework, 1970s) |
| Tip≠ | Latent variable model / measurement model | Latent variable / causal modeling |
| Sursa seminală≠ | Muthen, B. O. (1994). Multilevel covariance structure analysis. Sociological Methods & Research, 22(3), 376–398. DOI ↗ | Hair, J. F., Black, W. C., Babin, B. J. & Anderson, R. E. (2019). Multivariate Data Analysis (8th ed.). Cengage Learning. ISBN: 978-1473756540 |
| Denumiri alternative | MCFA, multilevel measurement model, two-level CFA, hierarchical CFA | Yapısal Eşitlik Modellemesi (SEM), structural equation modelling, covariance structure analysis, latent variable modeling |
| Înrudite≠ | 6 | 5 |
| Rezumat≠ | 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. | Structural equation modeling is a multivariate statistical framework that simultaneously estimates a measurement model — relating observed indicators to latent constructs — and a structural model specifying directional or reciprocal relationships among those constructs. Rooted in the LISREL tradition developed by Karl Jöreskog in the 1970s, SEM is the standard tool for testing complex theoretical models in the social, behavioural, and management sciences. |
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