Franklin

Advances in multilevel modeling for educational research [electronic resource] : addressing practical issues found in real-world applications / edited by Jeffrey R. Harring, Laura M. Stapleton, S. Natasha Beretvas.

Publication:
Charlotte, NC : Information Age Publishing, Inc., [2016]
Format/Description:
Book
1 online resource (xv, 396 pages)
Series:
CILVR series on latent variable methodology.
CILVR series on latent variable methodology
Status/Location:
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Details

Subjects:
Education -- Research -- Methodology.
Education -- Data processing.
Educational indicators.
Multiscale modeling.
Multivariate analysis.
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 Muthen
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 with 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.
Notes:
Includes bibliographical references.
Electronic reproduction. Ipswich, MA Available via World Wide Web.
Description based on online resource; title from digital title page (viewed on February 12, 2016).
Local notes:
Acquired for the Penn Libraries with assistance from the Alumni and Friends Memorial Book Fund.
Contributor:
Harring, Jeffrey R., editor.
Stapleton, Laura M., editor.
Beretvas, S. Natasha, editor.
EBSCOhost
Alumni and Friends Memorial Book Fund.
ISBN:
9781681233291
1681233290
9781681233277
Publisher Number:
99967245811
Access Restriction:
Restricted for use by site license.