Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Редукционный анализ× | Wordscores× | |
|---|---|---|
| Область | Психометрия | Психометрия |
| Семейство | Latent structure | Latent structure |
| Год появления≠ | 1977 | 2003 |
| Автор метода≠ | Albert van den Wollenberg | Michael Laver, Kenneth Benoit, John Garry |
| Тип≠ | Asymmetric multivariate analysis | Text analysis and dimension reduction |
| Основополагающий источник≠ | van den Wollenberg, A. L. (1977). Redundancy analysis: An alternative for canonical correlation analysis. Psychometrika, 42(2), 207-219. DOI ↗ | Laver, M., Benoit, K., & Garry, J. (2003). Extracting policy positions from political texts using words as data. American Political Science Review, 97(2), 311-331. DOI ↗ |
| Другие названия≠ | RDA | — |
| Связанные | 5 | 5 |
| Сводка≠ | Redundancy Analysis (RDA) is a multivariate technique developed by van den Wollenberg (1977) that combines multiple regression and principal component analysis. RDA finds linear combinations of predictor variables that best predict variation in response variables, making it ideal for understanding how sets of predictors collectively explain multivariate outcomes. | Wordscores is a text-based scaling method developed by Laver, Benoit, and Garry (2003) that estimates the policy positions of political actors based on word frequencies in their texts. By comparing word usage in reference texts of known positions with test texts, the method infers the latent political dimension of any document without requiring manual coding or training data. |
| ScholarGateНабор данных ↗ |
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