Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Порядковая номологическая валидность× | Конфирматорный факторный анализ (КФА)× | |
|---|---|---|
| Область | Психометрия | Психометрия |
| Семейство | Latent structure | Latent structure |
| Год появления≠ | 1955 (concept); ordinal application 1990s–present | 1969 |
| Автор метода≠ | Cronbach & Meehl (nomological network concept); ordinal extension in modern psychometrics | Karl Gustav Jöreskog |
| Тип≠ | Validity assessment | Hypothesis-testing latent variable model |
| Основополагающий источник≠ | Cronbach, L. J., & Meehl, P. E. (1955). Construct validity in psychological tests. Psychological Bulletin, 52(4), 281–302. DOI ↗ | Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202. DOI ↗ |
| Другие названия | nomological validity for ordinal data, ordinal nomological network, construct network validity (ordinal), ordinal criterion-related validity | CFA, confirmatory FA, measurement model, restricted factor analysis |
| Связанные≠ | 5 | 4 |
| Сводка≠ | Ordinal nomological validity examines whether a construct measured with ordinal items (e.g., Likert-type scales) behaves in theoretically predicted ways within a nomological network — a web of expected relationships with other constructs and criteria — using methods suited to ordinal data rather than assuming continuous measurement. | 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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