ScholarGate
Asistent

Usporedite metode

Pregledajte odabrane metode jednu uz drugu; retci koji se razlikuju su istaknuti.

Testiranje multivarijantne invarijantnosti mjerenja×Višegrupna konfirmatorna faktorska analiza (MG-CFA)×
PodručjePsihometrijaPsihometrija
ObiteljLatent structureLatent structure
Godina nastanka1971–19931971
TvoracJöreskog, K. G. (1971); Meredith, W. (1993)Karl Jöreskog
VrstaModel comparison / hypothesis testingMeasurement model / invariance test
Temeljni izvorVandenberg, 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 ↗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 ↗
Drugi nazivimeasurement invariance, factorial invariance, cross-group invariance, MI testingMG-CFA, multi-group CFA, measurement invariance testing, multi-sample CFA
Srodne66
SažetakMulti-group measurement invariance testing examines whether a latent construct is measured in the same way across two or more distinct groups — such as cultures, genders, or age cohorts. It is a prerequisite for meaningful group comparisons of latent means or relationships, ensuring that observed score differences reflect true differences rather than measurement artifacts.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.
ScholarGateSkup podataka
  1. v1
  2. 2 Izvori
  3. PUBLISHED
  1. v1
  2. 2 Izvori
  3. PUBLISHED

Idi na pretraživanje Preuzmi prezentaciju

ScholarGateUsporedite metode: Multi-group measurement invariance · Multi-group confirmatory factor analysis. Preuzeto 2026-06-19 s https://scholargate.app/hr/compare