Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Продольная дискриминантная валидность× | Конфирматорный факторный анализ (КФА)× | |
|---|---|---|
| Область | Психометрия | Психометрия |
| Семейство | Latent structure | Latent structure |
| Год появления≠ | 1993–2000 | 1969 |
| Автор метода≠ | Formalized through SEM-based validity traditions (Campbell & Fiske, 1959; Cole & Maxwell, 1993) | Karl Gustav Jöreskog |
| Тип≠ | Validity assessment / measurement quality | Hypothesis-testing latent variable model |
| Основополагающий источник≠ | Cole, D. A. & Maxwell, S. E. (1993). Testing mediational models with longitudinal data: Questions and tips in the use of structural equation modeling. Journal of Abnormal Psychology, 112(4), 558–577. DOI ↗ | Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202. DOI ↗ |
| Другие названия | LDV, longitudinal construct distinctiveness, cross-time discriminant validity, temporal discriminant validity | CFA, confirmatory FA, measurement model, restricted factor analysis |
| Связанные | 4 | 4 |
| Сводка≠ | Longitudinal discriminant validity tests whether a psychological construct measured at two or more time points is empirically distinct across occasions — ensuring that the same construct does not collapse into a single undifferentiated mass over time. It is a prerequisite for meaningful change modeling in panel and longitudinal research. | Confirmatory factor analysis tests a researcher-specified factor structure against observed data. Unlike exploratory approaches, the researcher decides in advance which indicators load on which latent factor, and the model is evaluated by how closely the implied covariance matrix reproduces the sample covariance matrix. CFA is central to scale validation, construct validity assessment, and measurement invariance testing. |
| ScholarGateНабор данных ↗ |
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