Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Конфирматорный факторный анализ для шкал× | Построение шкалы Лайкерта× | |
|---|---|---|
| Область | Психометрия | Психометрия |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 1969 | 1932 |
| Автор метода≠ | Karl G. Jöreskog | Rensis Likert |
| Тип≠ | Confirmatory factor analysis methodology | Summated rating scale methodology |
| Основополагающий источник≠ | Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183-202. DOI ↗ | Likert, R. (1932). A technique for the measurement of attitudes. Archives of Psychology, 22(140), 1-55. link ↗ |
| Другие названия≠ | CFA, Confirmatory factor analysis, Path analysis, Structural equation modeling | Likert summated rating scale, Summated rating scale construction |
| Связанные≠ | 4 | 5 |
| 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. | Likert scale construction is a systematic methodology for developing attitude measurement instruments using summated rating scales. Introduced by Rensis Likert in 1932, it enables researchers to quantify latent constructs such as attitudes, beliefs, and psychological states by aggregating responses across multiple items. The method remains foundational to quantitative social and health sciences research. |
| ScholarGateНабор данных ↗ |
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