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Dependent Data in Social Sciences Research: Forms, Issues, and Methods of Analysis - Springer Proceedings in Mathematics & Statistics Softcover Reprint of the Original 1st 2015 edition
Dependent Data in Social Sciences Research: Forms, Issues, and Methods of Analysis - Springer Proceedings in Mathematics & Statistics
This volume contains the following five sections: growth curve modeling, directional dependence, dyadic data modeling, item response modeling (IRT), and other methods for the analysis of dependent data (e.g., approaches for modeling cross-section dependence, multidimensional scaling techniques, and mixed models).
385 pages, 50 Tables, black and white; XIII, 385 p.
| Medios de comunicación | Libros Paperback Book (Libro con tapa blanda y lomo encolado) |
| Publicado | 23 de agosto de 2016 |
| ISBN13 | 9783319372273 |
| Editores | Springer International Publishing AG |
| Páginas | 385 |
| Dimensiones | 150 × 220 × 10 mm · 557 g |
| Lengua | Alemán |
| Editor | Stemmler, Mark |
| Editor | Von Eye, Alexander |
| Editor | Wiedermann, Wolfgang |