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Anàlisi Factorial Exploratòria Longitudinal (EFA Longitudinal)×Anàlisi Factorial Exploratòria Multinivell (ML-EFA)×
CampPsicometriaPsicometria
FamíliaLatent structureLatent structure
Any d'origen1970s–19831994
Autor originalJohn R. Nesselroade and colleagues (lifespan developmental tradition)Bengt O. Muthén
TipusLatent variable / dimension reduction across timeLatent variable / multilevel dimension reduction
Font seminalNesselroade, J. R. (1983). Temporal selection and factor invariance in the study of development and change. In P. B. Baltes & O. G. Brim (Eds.), Life-Span Development and Behavior (Vol. 5, pp. 59–87). Academic Press. link ↗Muthén, B. O. (1994). Multilevel covariance structure analysis. Sociological Methods & Research, 22(3), 376–398. DOI ↗
ÀliesLEFA, longitudinal factor analysis, repeated-measures EFA, panel EFAML-EFA, multilevel factor analysis, two-level exploratory factor analysis, hierarchical exploratory factor analysis
Relacionats63
ResumLongitudinal EFA applies exploratory factor analysis separately at each measurement occasion — or jointly across occasions — to discover whether the same latent factor structure emerges over time and whether factor loadings remain stable across waves. It is the foundational data-driven approach for examining structural change and continuity in panel and developmental research.Multilevel exploratory factor analysis uncovers latent factor structures simultaneously at two or more levels of a data hierarchy — for example, both within individuals and between groups — without imposing a fixed structure in advance. It is essential whenever survey or test items are collected from respondents nested inside classrooms, organisations, or clinics.
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ScholarGateCompara mètodes: Longitudinal EFA · Multilevel EFA. Recuperat el 2026-06-17 de https://scholargate.app/ca/compare