방법 비교
선택한 방법을 나란히 검토하세요. 서로 다른 행은 강조 표시됩니다.
| 종단적 통법적 타당도× | 수렴 타당도× | |
|---|---|---|
| 분야 | 심리측정학 | 심리측정학 |
| 계열 | Latent structure | Latent structure |
| 기원 연도≠ | 1955 (concept); longitudinal extension 1990s–2000s | 1959 |
| 창시자≠ | Cronbach & Meehl (nomological network concept, 1955); longitudinal extension developed in organizational and personality research from the 1990s onward | Donald T. Campbell & Donald W. Fiske |
| 유형≠ | Validity evaluation | Validity evidence / construct validation |
| 원전≠ | Cronbach, L. J., & Meehl, P. E. (1955). Construct validity in psychological tests. Psychological Bulletin, 52(4), 281–302. DOI ↗ | Campbell, D. T., & Fiske, D. W. (1959). Convergent and discriminant validation by the multitrait-multimethod matrix. Psychological Bulletin, 56(2), 81–105. DOI ↗ |
| 별칭≠ | longitudinal construct validity, nomological network validation across time, longitudinal criterion-related validity, temporal nomological validity | convergent construct validity, convergence validity, AVE-based convergent validity |
| 관련≠ | 6 | 4 |
| 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. | Convergent validity is the degree to which multiple indicators that are theoretically expected to measure the same construct actually correlate with one another. It is one of the two complementary forms of construct validity identified by Campbell and Fiske (1959) and is now routinely assessed via factor loadings and the Average Variance Extracted (AVE) statistic in SEM-based scale validation. |
| ScholarGate데이터셋 ↗ |
|
|