Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Модель с градуированным откликом (GRM)× | Эксплораторный факторный анализ (ЭФА)× | |
|---|---|---|
| Область≠ | Психометрия | Статистика |
| Семейство | Latent structure | Latent structure |
| Год появления≠ | 1969 | — |
| Автор метода≠ | Fumiko Samejima | — |
| Тип≠ | Item response theory / polytomous IRT model | Latent variable / dimension reduction |
| Основополагающий источник≠ | Samejima, F. (1969). Estimation of Latent Ability Using a Response Pattern of Graded Scores. Psychometrika Monograph Supplement, No. 17. link ↗ | Fabrigar, L. R., Wegener, D. T., MacCallum, R. C. & Strahan, E. J. (1999). Evaluating the use of exploratory factor analysis in psychological research. Psychological Methods, 4(3), 272–299. DOI ↗ |
| Другие названия | Samejima's GRM, Derecelendirilmiş Tepki Modeli (GRM), graded IRT model | common factor analysis, açımlayıcı faktör analizi, factor analysis |
| Связанные≠ | 7 | 4 |
| Сводка≠ | The Graded Response Model is an item response theory model developed by Fumiko Samejima in 1969 for ordered polytomous items such as Likert-type scales. It estimates both the discriminating power of each item and a set of threshold parameters marking the boundaries between adjacent response categories, while simultaneously placing persons on a continuous latent trait scale. | Exploratory factor analysis reduces a large set of observed variables into a smaller number of latent common factors. It is widely used in scale development and psychometrics to uncover the dimensional structure that underlies a set of correlated items, without specifying that structure in advance. |
| ScholarGateНабор данных ↗ |
|
|