Multilevel Modeling Methods With Introductory and Advanced Applications - Couverture rigide

 
9781648028724: Multilevel Modeling Methods With Introductory and Advanced Applications

Synopsis

Multilevel Modeling Methods with Introductory and Advanced Applications provides a cogent and comprehensive introduction to the area of multilevel modeling for methodological and applied researchers as well as advanced graduate students. The book is designed to be able to serve as a textbook for a one or two semester course in multilevel modeling. The topics of the seventeen chapters range from basic to advanced, yet each chapter is designed to be able to stand alone as an instructional unit on its respective topic, with an emphasis on application and interpretation.

In addition to covering foundational topics on the use of multilevel models for organizational and longitudinal research, the book includes chapters on more advanced extensions and applications, such as cross-classified random effects models, non-linear growth models, mixed effects location scale models, logistic, ordinal, and Poisson models, and multilevel mediation. In addition, the volume includes chapters addressing some of the most important design and analytic issues including missing data, power analyses, causal inference, model fit, and measurement issues. Finally, the volume includes chapters addressing special topics such as using large-scale complex sample datasets, and reporting the results of multilevel designs.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

À propos de l?auteur

Ann A. O'Connell, The Ohio State University

D. Betsy McCoach, University of Connecticut

Bethany A. Bell, University of Virginia

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Autres éditions populaires du même titre

9781648028717: Multilevel Modeling Methods with Introductory and Advanced Applications

Edition présentée

ISBN 10 :  1648028713 ISBN 13 :  9781648028717
Editeur : Information Age Publishing, 2022
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