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| 종단적 수렴 타당도× | 종단 측정 불변성 검증× | |
|---|---|---|
| 분야 | 심리측정학 | 심리측정학 |
| 계열 | Latent structure | Latent structure |
| 기원 연도≠ | 1997–2003 | 1993 |
| 창시자≠ | Cole & Maxwell; Widaman & Reise | William Meredith |
| 유형≠ | Validity evidence framework | Measurement model testing |
| 원전≠ | Cole, D. A. & Maxwell, S. E. (2003). Testing mediational models with longitudinal data: Questions and tips in the use of structural equation modeling. Journal of Abnormal Psychology, 112(4), 558–577. DOI ↗ | Meredith, W. (1993). Measurement invariance, factor analysis and factorial invariance. Psychometrika, 58(4), 525–543. DOI ↗ |
| 별칭 | longitudinal construct validity, repeated-measure convergent validity, cross-time convergent validity, temporal convergent validity | LMI, longitudinal invariance, measurement equivalence across time, temporal measurement invariance |
| 관련≠ | 6 | 3 |
| 요약≠ | Longitudinal convergent validity evaluates whether a scale's indicators correlate with theoretically related constructs not just at a single time point but consistently across repeated measurement occasions. It extends standard convergent validity testing into longitudinal designs to ensure that the scale measures the intended construct in the same meaningful way over time. | Longitudinal measurement invariance testing determines whether a psychological scale measures the same construct in the same way across two or more time points. It is a prerequisite for interpreting mean-level change scores in panel and repeated-measures studies, ensuring that observed change reflects true change in the construct rather than drift in the measurement instrument. |
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