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| 종단적 크론바흐 알파 (Longitudinal Cronbach's Alpha)× | 일반화가능성 이론 (G-Theory)× | |
|---|---|---|
| 분야 | 심리측정학 | 심리측정학 |
| 계열 | Latent structure | Latent structure |
| 기원 연도≠ | 1951 (alpha); longitudinal application systematised ca. 1990s–2000s | 1963–1972 |
| 창시자≠ | Lee J. Cronbach (alpha); longitudinal extension formalised in scale validation literature from 1980s onward | Lee J. Cronbach, Goldine Gleser, Harinder Nanda, Nageswari Rajaratnam |
| 유형≠ | Reliability estimation across time | Variance-components reliability model |
| 원전≠ | Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297–334. DOI ↗ | Cronbach, L. J., Gleser, G. C., Nanda, H. & Rajaratnam, N. (1972). The Dependability of Behavioral Measurements: Theory of Generalizability for Scores and Profiles. Wiley. link ↗ |
| 별칭≠ | repeated-measures alpha, longitudinal internal consistency, wave-specific Cronbach's alpha, time-point reliability estimation | G-theory, G-study / D-study framework, variance components reliability |
| 관련 | 4 | 4 |
| 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. | Generalizability Theory is a psychometric framework that decomposes observed score variance into multiple sources — persons, items, raters, occasions, and their interactions — using analysis of variance. It replaces the single reliability coefficient of classical test theory with a family of coefficients that tell researchers how well scores generalize across different measurement conditions. |
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