Advances in multilevel modeling for educational research
Subtitle: addressing practical issues found in real-world applications
By: edited by Jeffrey R. Harring, Laura M. Stapleton, S. Natasha Beretvas
Series: CILVR series on latent variable methodology
Publisher: Information Age Publishing, Inc.
Published: 2016
Place of publication: Charlotte, NC
Language: eng
ISBN-13: 9781681233277; 9781681233284; 9781681233291
Subjects: Methodology; Education; Multivariate analysis; Data processing; Educational indicators; Multiscale modeling; Research
Notes: Includes bibliographical references.
Table of contents: title: The Discrepancy between Measurement and Modeling in Longitudinal Data Analysis / Daniel J. Bauer and Patrick J. Curran; title: Incomplete Multilevel Data : Problems and Solutions / Joop Hox, Stef van Buuren, and Shahab Jolani; title: Sampling Weight Considerations for Multilevel Modeling of Panel Data / Laura M. Stapleton, Jeffrey R. Harring, and Daniel Y. Lee; title: Residual Diagnostics and Model Assessment in a Multilevel Framework : Recommendations toward Best Practice / Ann A. O'Connell, Gloria Yeomans-Maldonado, and D. Betsy McCoach; title: Multilevel Cross-Classified Testlet Model for Complex Item and Person Clustering in Item Response Data Analysis / Hong Jiao, Akihito Kamata, and Chao Xie; title: General Random Effect Latent Variable Modeling : Random Subjects, Items, Contexts, and Parameters / Tihomir Asparouhov and Bengt Muthén; title: N-Level Structural Equation Model of Student Achievement Data Nested with Repeated Teachers, Schools, and Districts / Paras D. Mehta and Yaacov Petscher; title: A Model for Cross-Classified Nested Repeated Measures Data / Jeffrey R. Harring, S. Natasha Beretvas, and Anita Israni; title: Cross-classified Random Effects Models for Assessing Rater Severity and Differential Rater Functioning / S. Natasha Beretvas, Daniel L. Murphy, and Matthew N. Gaertner; title: Handling Measurement Error in Predictors with a Multilevel Latent Variable : Plausible Values Approach / Ji Seung Yang and Michael Seltzer; title: Mixture Modeling Methods for Causal Inference with Multilevel Data / Jee-Seon Kim, Peter M. Steiner, and Wen-Chiang Lim; title: Multilevel Social Network Models : Incorporating Network-Level Covariates into Hierarchical Latent Space Models / Tracy Sweet and Qiwen Zheng.