Salīdzināt metodes

	Daudzgrupu mērījumu invarianču testēšana	Modelēšana ar strukturālām vienādojumiem
Nozare	Psihometrija	Pētniecības statistika
Saime	Latent structure	Process / pipeline
Izcelsmes gads	1971–1993	1921
Autors	Jöreskog, K. G. (1971); Meredith, W. (1993)	Sewall Wright
Tips	Model comparison / hypothesis testing	Method
Pirmavots	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.	Jöreskog, K. G., & Sörbom, D. (1973). LISREL: A general computer program for estimating a linear structural equation system. Research Bulletin 73-5. University of Stockholm.
Citi nosaukumi	measurement invariance, factorial invariance, cross-group invariance, MI testing	SEM, path analysis, latent variable modeling, causal modeling
Saistītās	6	3
Kopsavilkums	Multi-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.	Structural equation modeling (SEM) is a comprehensive statistical framework combining path analysis (Sewall Wright, 1921) and confirmatory factor analysis to test complex causal models linking observed and latent variables. Formalized by Jöreskog (1973) with LISREL software, SEM enables simultaneous estimation of measurement relationships (how variables measure latent constructs) and structural relationships (how constructs influence outcomes), making it powerful for theory testing in psychology, epidemiology, organizational research, and health sciences where complex mediation, moderation, and latent processes require integrated analysis.