Linganisha mbinu

	Uthabiti wa Upimaji wa Ngazi Nyingi	Uchanganuzi wa Kimfumo wa Uhakiki (CFA)
Nyanja	Saikometriki	Saikometriki
Familia	Latent structure	Latent structure
Mwaka wa asili	2000s	1969
Mwanzilishi	Muthén, Asparouhov, and colleagues	Karl Gustav Jöreskog
Aina	Measurement model evaluation	Hypothesis-testing latent variable model
Chanzo asilia	Muthén, B. O., & Asparouhov, T. (2009). Multilevel factor analysis of class and student achievement components. Journal of Educational and Behavioral Statistics, 34(2), 250–270.	Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202.
Majina mbadala	MLMI, multilevel factorial invariance, cross-level measurement invariance, multilevel CFA invariance	CFA, confirmatory FA, measurement model, restricted factor analysis
Zinazohusiana	3	4
Muhtasari	Multilevel measurement invariance testing evaluates whether a latent construct is measured equivalently both within clusters (e.g., individuals within teams) and between clusters (e.g., team-level aggregates). It extends standard measurement invariance procedures to nested data structures commonly encountered in organisational, educational, and cross-cultural research.	Confirmatory factor analysis tests a researcher-specified factor structure against observed data. Unlike exploratory approaches, the researcher decides in advance which indicators load on which latent factor, and the model is evaluated by how closely the implied covariance matrix reproduces the sample covariance matrix. CFA is central to scale validation, construct validity assessment, and measurement invariance testing.