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| 종단적 크론바흐 알파 (Longitudinal Cronbach's Alpha)× | 종단 측정 불변성 검증× | |
|---|---|---|
| 분야 | 심리측정학 | 심리측정학 |
| 계열 | Latent structure | Latent structure |
| 기원 연도≠ | 1951 (alpha); longitudinal application systematised ca. 1990s–2000s | 1993 |
| 창시자≠ | Lee J. Cronbach (alpha); longitudinal extension formalised in scale validation literature from 1980s onward | William Meredith |
| 유형≠ | Reliability estimation across time | Measurement model testing |
| 원전≠ | Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297–334. DOI ↗ | Meredith, W. (1993). Measurement invariance, factor analysis and factorial invariance. Psychometrika, 58(4), 525–543. DOI ↗ |
| 별칭 | repeated-measures alpha, longitudinal internal consistency, wave-specific Cronbach's alpha, time-point reliability estimation | LMI, longitudinal invariance, measurement equivalence across time, temporal measurement invariance |
| 관련≠ | 4 | 3 |
| 요약≠ | Longitudinal Cronbach's alpha assesses the internal consistency reliability of a scale at each wave of a repeated-measures study and examines whether that reliability remains stable across time. It is an essential step in longitudinal scale validation, ensuring that a scale measures its construct with consistent precision at every measurement occasion. | 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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