A basic knowledge of multilevel modeling is assumed. A Fellow of the Royal Statistical Society and a founding member of the European Association of Methodology, his recent publications focus on survey non-response, interviewer effects, survey data quality, missing data, and multilevel analysis of regression and structural equation models. Roberts has conducted numerous training sessions on multilevel analysis at annual meetings of the American Psychological Association, the American Educational Research Association, and the Southwest Educational Research Association.
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He has authored several book chapters and articles on multilevel analysis, and currently works with school districts in the development of value-added models for student and teacher. The editors assembled the top minds in the field to address the latest applications of multilevel modeling as well as the specific difficulties and methodological problems that are becoming more common as Handbook of Advanced Multilevel Analysis.
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Lists What are lists? Login to add to list. Be the first to add this to a list. Comments and reviews What are comments? Each chapter includes an introduction that sets the stage for the material to come and a conclusion. Divided into five sections, the first provides a broad introduction to the field that serves as a framework for understanding the latter chapters.
Part 2 focuses on multilevel latent variable modeling including item response theory and mixture modeling. Section 3 addresses models used for longitudinal data including growth curve and structural equation modeling. Special estimation problems are examined in section 4 including the difficulties involved in estimating survival analysis, Bayesian estimation, bootstrapping, multiple imputation, and complicated models, including generalized linear models, optimal design in multilevel models, and more.
The book's concluding section focuses on statistical design issues encountered when doing multilevel modeling including nested designs, analyzing cross-classified models, and dyadic data analysis.
Handbook of Advanced Multilevel Analysis
Intended for methodologists, statisticians, and researchers in a variety of fields including psychology, education, and the social and health sciences, this handbook also serves as an excellent text for graduate and PhD level courses in multilevel modeling. A basic knowledge of multilevel modeling is assumed. Product details Format Hardback pages Dimensions People who bought this also bought. Bestsellers in Psychological Methodology. The Algebraic Mind Gary F. Reflexive Supervision Bobby Moore. Presenting Your Findings Penny M. Displaying Your Findings Penny M.
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