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| 종단 검사-재검사 신뢰도× | 종단 확인적 요인 분석× | |
|---|---|---|
| 분야 | 심리측정학 | 심리측정학 |
| 계열 | Latent structure | Latent structure |
| 기원 연도≠ | 1904 (test-retest); longitudinal application formalized mid-20th century | 1970s–1990s |
| 창시자≠ | Spearman, Charles; extended to longitudinal contexts by psychometric theorists | Karl Jöreskog (CFA framework); longitudinal extension by Wheaton, Muthén, and Alwin in the 1970s–1990s |
| 유형≠ | Reliability estimation / temporal stability | Longitudinal latent variable / measurement model |
| 원전≠ | Nunnally, J. C. & Bernstein, I. H. (1994). Psychometric Theory (3rd ed.). McGraw-Hill. ISBN: 978-0070478497 | Widaman, K. F. & Reise, S. P. (1997). Exploring the measurement invariance of psychological instruments: Applications in the substance use domain. In K. J. Bryant, M. Windle & S. G. West (Eds.), The science of prevention: Methodological advances from alcohol and substance abuse research (pp. 281–324). American Psychological Association. link ↗ |
| 별칭 | longitudinal stability reliability, repeated-measurement reliability, temporal stability across waves, longitudinal retest coefficient | longitudinal CFA, repeated-measures CFA, longitudinal measurement model, panel CFA |
| 관련≠ | 3 | 6 |
| 요약≠ | Longitudinal test-retest reliability quantifies how consistently a scale or measure performs across two or more time points in a longitudinal study. It extends the classic test-retest paradigm by accounting for planned, often substantive, time lags between waves — making it essential for validating instruments used in panel, cohort, or growth-curve research. | Longitudinal confirmatory factor analysis (longitudinal CFA) applies a theoretically specified measurement model to data collected at two or more time points. Its primary purpose is to verify that a scale measures the same latent construct in the same way over time — a prerequisite for drawing valid conclusions about change from repeated-measures data. |
| ScholarGate데이터셋 ↗ |
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