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| Phân tích nhân tố xác nhận theo chiều dọc× | 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≠ | 1970s–1990s | 1969 |
| Người khởi xướng≠ | Karl Jöreskog (CFA framework); longitudinal extension by Wheaton, Muthén, and Alwin in the 1970s–1990s | Karl Gustav Jöreskog |
| Loại≠ | Longitudinal latent variable / measurement model | Hypothesis-testing latent variable model |
| Công trình gốc≠ | Widaman, K. F. & Reise, S. P. (1997). Exploring the measurement invariance of psychological instruments: Applications in the substance use domain. In K. J. Bryant, M. Windle & S. G. West (Eds.), The science of prevention: Methodological advances from alcohol and substance abuse research (pp. 281–324). American Psychological Association. link ↗ | Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202. DOI ↗ |
| Tên gọi khác | longitudinal CFA, repeated-measures CFA, longitudinal measurement model, panel CFA | CFA, confirmatory FA, measurement model, restricted factor analysis |
| Liên quan≠ | 6 | 4 |
| Tóm tắt≠ | Longitudinal confirmatory factor analysis (longitudinal CFA) applies a theoretically specified measurement model to data collected at two or more time points. Its primary purpose is to verify that a scale measures the same latent construct in the same way over time — a prerequisite for drawing valid conclusions about change from repeated-measures data. | 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. |
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