Handbook of Multilevel Analysis
Multilevel analysis is the statistical analysis of hierarchically and non-hierarchically nested data. The simplest example is clustered data, such as a sample of students clustered within schools. Multilevel data are especially prevalent in the social and behavioral sciences and in the bio-medical s...
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| المؤلف الرئيسي: | |
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| مؤلفون آخرون: | , , |
| التنسيق: | Livre numérique |
| اللغة: | Anglais |
| منشور في: |
New York, NY :
Springer New York : Springer e-books
[20..].
Cham : Springer Nature |
| الموضوعات: | |
| الوصول للمادة أونلاين: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
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L'impression du document génère 497 p. Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Handbook of multilevel analysis, Jan de Leeuw, Erik Meijer, editors, New York, Springer, 2008, 1 vol. (XIII-493 p.), 978-0-387-73183-4 |
جدول المحتويات:
- to Multilevel Analysis Bayesian Multilevel Analysis and MCMC Diagnostic Checks for Multilevel Models Optimal Designs for Multilevel Studies Many Small Groups Multilevel Models for Ordinal and Nominal Variables Multilevel and Related Models for Longitudinal Data Non-Hierarchical Multilevel Models Multilevel Generalized Linear Models Missing Data Resampling Multilevel Models Multilevel Structural Equation Modeling