Tell your friends about this item:
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.
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | August 23, 2016 |
| ISBN13 | 9783319372273 |
| Publishers | Springer International Publishing AG |
| Pages | 385 |
| Dimensions | 150 × 220 × 10 mm · 557 g |
| Language | German |
| Editor | Stemmler, Mark |
| Editor | Von Eye, Alexander |
| Editor | Wiedermann, Wolfgang |