Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Конфирматорный факторный анализ для шкал× | Коэффициент валидности содержания× | |
|---|---|---|
| Область | Психометрия | Психометрия |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 1969 | 1975 |
| Автор метода≠ | Karl G. Jöreskog | Charles H. Lawshe |
| Тип≠ | Confirmatory factor analysis methodology | Expert panel content validity assessment |
| Основополагающий источник≠ | Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183-202. DOI ↗ | Lawshe, C. H. (1975). A quantitative approach to content validity. Personnel Psychology, 28(4), 563-575. link ↗ |
| Другие названия | CFA, Confirmatory factor analysis, Path analysis, Structural equation modeling | CVR, Content validity index, Expert judgment content validity, Lawshe CVR |
| Связанные | 4 | 4 |
| Сводка≠ | Confirmatory Factor Analysis (CFA) is a statistical method for testing whether a hypothesized factorial structure fits empirical data. Developed by Karl G. Jöreskog in 1969, CFA is the standard approach for validating psychometric scales by evaluating whether items load onto theoretically specified latent factors as expected. Unlike exploratory factor analysis, CFA requires a priori specification of the factor structure and provides goodness-of-fit indices to assess model adequacy. | The Content Validity Ratio (CVR) is a quantitative method developed by Charles Lawshe in 1975 for evaluating the extent to which items in a measurement instrument are relevant and representative of a target construct. The method aggregates expert panel judgments into a single validity coefficient for each item, enabling researchers to identify and retain only those items deemed essential by domain experts. CVR provides objective support for content validity claims during scale development. |
| ScholarGateНабор данных ↗ |
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