방법 비교
선택한 방법을 나란히 검토하세요. 서로 다른 행은 강조 표시됩니다.
| 종단적 통법적 타당도× | 종단 측정 불변성 검증× | |
|---|---|---|
| 분야 | 심리측정학 | 심리측정학 |
| 계열 | Latent structure | Latent structure |
| 기원 연도≠ | 1955 (concept); longitudinal extension 1990s–2000s | 1993 |
| 창시자≠ | Cronbach & Meehl (nomological network concept, 1955); longitudinal extension developed in organizational and personality research from the 1990s onward | William Meredith |
| 유형≠ | Validity evaluation | Measurement model testing |
| 원전≠ | Cronbach, L. J., & Meehl, P. E. (1955). Construct validity in psychological tests. Psychological Bulletin, 52(4), 281–302. DOI ↗ | Meredith, W. (1993). Measurement invariance, factor analysis and factorial invariance. Psychometrika, 58(4), 525–543. DOI ↗ |
| 별칭 | longitudinal construct validity, nomological network validation across time, longitudinal criterion-related validity, temporal nomological validity | LMI, longitudinal invariance, measurement equivalence across time, temporal measurement invariance |
| 관련≠ | 6 | 3 |
| 요약≠ | Longitudinal nomological validity evaluates whether a construct's theoretically predicted relationships with other constructs hold consistently across multiple measurement occasions. It extends the nomological network framework of Cronbach and Meehl (1955) to longitudinal designs, testing whether a scale behaves as theory demands not only at a single time point but 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. |
| ScholarGate데이터셋 ↗ |
|
|