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| 패널 기반 모형 검증 연구× | 확인적 요인 분석 (CFA)× | |
|---|---|---|
| 분야≠ | 연구설계 | 심리측정학 |
| 계열≠ | Process / pipeline | Latent structure |
| 기원 연도≠ | 1970s–1980s (panel econometrics and SEM matured in parallel) | 1969 |
| 창시자≠ | Developed across econometrics (Hsiao, Hausman) and psychometrics (Jöreskog, Bollen) | Karl Gustav Jöreskog |
| 유형≠ | Quantitative longitudinal research design | Hypothesis-testing latent variable model |
| 원전≠ | Bollen, K. A. (1989). Structural Equations with Latent Variables. Wiley. ISBN: 978-0471011712 | Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202. DOI ↗ |
| 별칭 | panel SEM, longitudinal model testing, panel structural equation modeling, panel-based hypothesis testing | CFA, confirmatory FA, measurement model, restricted factor analysis |
| 관련 | 4 | 4 |
| 요약≠ | Panel-based model testing research combines the longitudinal power of panel survey designs with the confirmatory rigor of structural model testing — such as structural equation modeling (SEM), path analysis, or confirmatory factor analysis — applied to data collected from the same units (individuals, firms, countries) across multiple time points. This approach enables researchers to test theoretically specified causal and mediation structures while controlling for unobserved unit-level heterogeneity and examining how relationships unfold over time. | 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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