Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Конфирматорный факторный анализ (КФА)× | Конвергентная валидность× | |
|---|---|---|
| Область | Психометрия | Психометрия |
| Семейство | Latent structure | Latent structure |
| Год появления≠ | 1969 | 1959 |
| Автор метода≠ | Karl Gustav Jöreskog | Donald T. Campbell & Donald W. Fiske |
| Тип≠ | Hypothesis-testing latent variable model | Validity evidence / construct validation |
| Основополагающий источник≠ | Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202. DOI ↗ | Campbell, D. T., & Fiske, D. W. (1959). Convergent and discriminant validation by the multitrait-multimethod matrix. Psychological Bulletin, 56(2), 81–105. DOI ↗ |
| Другие названия≠ | CFA, confirmatory FA, measurement model, restricted factor analysis | convergent construct validity, convergence validity, AVE-based convergent validity |
| Связанные | 4 | 4 |
| Сводка≠ | 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. | 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. |
| ScholarGateНабор данных ↗ |
|
|