Linganisha mbinu

	Utafiti wa Uhakiki wa Ngazi-juu	Uchanganuzi wa Kimfumo wa Uhakiki (CFA)
Nyanja	Muundo wa Utafiti	Saikometriki
Familia	Process / pipeline	Latent structure
Mwaka wa asili	1980s–2000s	1969
Mwanzilishi	Raudenbush & Bryk; Hox; Goldstein	Karl Gustav Jöreskog
Aina	Quantitative confirmatory research design	Hypothesis-testing latent variable model
Chanzo asilia	Raudenbush, S. W., & Bryk, A. S. (2002). Hierarchical Linear Models: Applications and Data Analysis Methods (2nd ed.). Sage. ISBN: 978-0761919049	Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202.
Majina mbadala	multilevel confirmatory research, nested confirmatory design, hierarchical hypothesis-testing research, HCR	CFA, confirmatory FA, measurement model, restricted factor analysis
Zinazohusiana	5	4
Muhtasari	Hierarchical confirmatory research is a quantitative design that tests pre-specified hypotheses about relationships or group differences in data that have a natural nested (hierarchical) structure — such as students clustered within classrooms, patients within hospitals, or employees within organizations. By explicitly modeling the hierarchy, it avoids the inflation of Type I error that occurs when nested data are analyzed as though observations were independent.	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.