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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| Άλλοι συγγραφείς: | , , |
| Μορφή: | Livre numérique |
| Γλώσσα: | Anglais |
| Έκδοση: |
New York, NY :
Springer New York : Springer e-books
[20..].
Cham : Springer Nature |
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| Διαθέσιμο Online: | 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 |
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| 100 | 1 | |a Leeuw, Jan de. | |
| 245 | 1 | 0 | |a Handbook of Multilevel Analysis |c Jan de Leeuw, Erik Meijer, editors ; Foreword by Harvey Goldstein. |
| 260 | |a New York, NY : |b Springer New York : |b Springer e-books. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 500 | |a L'impression du document génère 497 p. | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 504 | |a Notes bibliogr. Index | ||
| 505 | 1 | |a 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 | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a 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 sciences. The models used for this type of data are linear and nonlinear regression models that account for observed and unobserved heterogeneity at the various levels in the data. This book presents the state of the art in multilevel analysis, with an emphasis on more advanced topics. These topics are discussed conceptually, analyzed mathematically, and illustrated by empirical examples. The authors of the chapters are the leading experts in the field. Given the omnipresence of multilevel data in the social, behavioral, and biomedical sciences, this book is useful for empirical researchers in these fields. Prior knowledge of multilevel analysis is not required, but a basic knowledge of regression analysis, (asymptotic) statistics, and matrix algebra is assumed. Jan de Leeuw is Distinguished Professor of Statistics and Chair of the Department of Statistics, University of California at Los Angeles. He is former president of the Psychometric Society, former editor of the Journal of Educational and Behavioral Statistics, founding editor of the Journal of Statistical Software, and editor of the Journal of Multivariate Analysis. He is coauthor (with Ita Kreft) of Introducing Multilevel Modeling and a member of the Albert Gifi team who wrote Nonlinear Multivariate Analysis. Erik Meijer is Economist at the RAND Corporation and Assistant Professor of Econometrics at the University of Groningen. He is coauthor (with Tom Wansbeek) of the highly acclaimed book Measurement Error and Latent Variables in Econometrics | ||
| 650 | |a Analyse de régression | ||
| 650 | |a Méthodes statistiques | ||
| 650 | |a Modèles linéaires (statistique) | ||
| 700 | 1 | |a Leeuw, Jan de, |d 19..- |4 edt | |
| 700 | 1 | |a Meijer, Erik, |d 1963- |4 edt | |
| 700 | 1 | |a Goldstein, Harvey, |d 1939-2020. |4 aui | |
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