So sánh phương pháp

	Tính hợp lệ phân biệt đa cấp	Phân tích nhân tố khẳng định (Confirmatory Factor Analysis - CFA)
Lĩnh vực	Trắc lượng tâm lý	Trắc lượng tâm lý
Họ	Latent structure	Latent structure
Năm ra đời	2005	1969
Người khởi xướng	Dyer, Hanges, & Hall; Chen, Sousa, & West	Karl Gustav Jöreskog
Loại	Validity evaluation within multilevel CFA	Hypothesis-testing latent variable model
Công trình gốc	Dyer, N. G., Hanges, P. J., & Hall, R. J. (2005). Applying multilevel confirmatory factor analysis techniques to the study of leadership. Leadership Quarterly, 16(1), 149–167.	Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202.
Tên gọi khác	multilevel DV, cross-level discriminant validity, hierarchical discriminant validity, ML-DV	CFA, confirmatory FA, measurement model, restricted factor analysis
Liên quan	5	4
Tóm tắt	Multilevel discriminant validity evaluates whether theoretically distinct constructs are empirically separable when data are nested within higher-level units such as teams, schools, or organizations. It extends single-level discriminant validity checks into a multilevel confirmatory factor analysis framework, verifying that constructs are distinguishable both within and between levels simultaneously.	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.