Advances in multilevel modeling for educational research : addressing practical issues found in real-world applications

The significance that practitioners are placing on the use of multilevel models is undeniable as researchers want to both accurately partition variance stemming from complex sampling designs and understand relations within and between variables describing the hierarchical levels of these nested data...

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Bibliographic Details
Other Authors Harring, Jeffrey, 1964- (Editor), Stapleton, Laura M. (Editor), Beretvas, Susan Natasha (Editor)
Format Electronic eBook
LanguageEnglish
Published Bingley, U.K : Emerald Publishing Limited : Information Age Publishing, Inc., 2016.
SeriesCILVR series on latent variable methodology.
Subjects
Education > Research > Methodology.
Education > Data processing.
Educational indicators.
Multiscale modeling.
Multivariate analysis.
Kontextanalyse.
Empirische Sozialforschung.
Statistik.
Education > Statistics.
Teaching skills and techniques.
Education.
Social research and statistics.
elektronické knihy
electronic books
Online AccessFull text
ISBN9781806610518
DOI10.1108/978-1-68123-329-1
Physical Description1 online resource (xv, 396 pages) : illustrations

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Table of Contents:
  • The discrepancy between measurement and modeling in longitudinal data analysis / Daniel J. Bauer and Patrick J. Curran
  • Incomplete multilevel data : Problems and solutions / Joop Hox, Stef van Buuren, and Shahab Jolani
  • Sampling weight considerations for multilevel modeling of panel data / Laura M. Stapleton, Jeffrey R. Harring, and Daniel Y. Lee
  • Residual diagnostics and model assessment in a multilevel framework : Recommendations toward best practice / Ann A. O'Connell, Gloria Yeomans-Maldonado, and D. Betsy McCoach
  • Multilevel cross-classified testlet model for complex item and person clustering in item response data analysis / Hong Jiao, Akihito Kamata, and Chao Xie
  • General random effect latent variable modeling : Random subjects, items, contexts, and parameters / Tihomir Asparouhov and Bengt Muthén
  • N-level structural equation model of student achievement data nested with repeated teachers, schools, and districts / Paras D. Mehta and Yaacov Petscher
  • A model for cross-classified nested repeated measures data / Jeffrey R. Harring, S. Natasha Beretvas, and Anita Israni
  • Cross-classified random effects models for assessing rater severity and differential rater functioning / S. Natasha Beretvas, Daniel L. Murphy, and Matthew N. Gaertner
  • Handling measurement error in predictors using a multilevel latent variable plausible values approach / Ji Seung Yang and Michael Seltzer
  • Mixture modeling methods for causal inference with multilevel data / Jee-Seon Kim, Peter M. Steiner, and Wen-Chiang Lim
  • Multilevel social network models : Incorporating network-level covariates into hierarchical latent space models / Tracy Sweet and Qiwen Zheng.

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