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| 경로 분석(Path Analysis)× | 확인적 요인 분석 (CFA)× | |
|---|---|---|
| 분야≠ | 통계학 | 심리측정학 |
| 계열 | Latent structure | Latent structure |
| 기원 연도≠ | 1921 | 1969 |
| 창시자≠ | Sewall Wright | Karl Gustav Jöreskog |
| 유형≠ | Causal / mediation model | Hypothesis-testing latent variable model |
| 원전≠ | Wright, S. (1921). Correlation and causation. Journal of Agricultural Research, 20(7), 557–585. link ↗ | Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202. DOI ↗ |
| 별칭 | PA, path coefficient analysis, observed-variable SEM, causal path modeling | CFA, confirmatory FA, measurement model, restricted factor analysis |
| 관련≠ | 5 | 4 |
| 요약≠ | Path analysis tests a researcher-specified causal diagram among observed variables by decomposing their intercorrelations into direct effects, indirect (mediated) effects, and spurious associations. Developed by Sewall Wright in 1921, it is the observed-variable special case of structural equation modeling and remains a standard tool for theory-driven multivariate causal inference. | 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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