Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Ординальная модель Раша (модели упорядоченных категорий и частичных кредитов)× | Конфирматорный факторный анализ (КФА)× | |
|---|---|---|
| Область | Психометрия | Психометрия |
| Семейство | Latent structure | Latent structure |
| Год появления≠ | 1978–1982 | 1969 |
| Автор метода≠ | David Andrich (RSM, 1978); Geoff Masters (PCM, 1982) | Karl Gustav Jöreskog |
| Тип≠ | Item response model for ordered categories | Hypothesis-testing latent variable model |
| Основополагающий источник≠ | Andrich, D. (1978). A rating formulation for ordered response categories. Psychometrika, 43(4), 561–573. DOI ↗ | Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202. DOI ↗ |
| Другие названия | Rating Scale Model, Partial Credit Model, RSM, PCM | CFA, confirmatory FA, measurement model, restricted factor analysis |
| Связанные≠ | 6 | 4 |
| Сводка≠ | The ordinal Rasch model extends the dichotomous Rasch framework to items with ordered response categories such as Likert-type scales. It places both persons and items on a shared interval-level metric, enabling principled measurement from ordinal data while checking whether items function consistently across all response thresholds. | 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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