
Multilevel Modeling Using Mplus
Chapman & Hall/CRC (Publisher)
1st Edition
Published on 22. December 2016
Book
Paperback/Softback
336 pages
978-1-4987-4824-7 (ISBN)
Description
This book is designed primarily for upper level undergraduate and graduate level students taking a course in multilevel modelling and/or statistical modelling with a large multilevel modelling component. The focus is on presenting the theory and practice of major multilevel modelling techniques in a variety of contexts, using Mplus as the software tool, and demonstrating the various functions available for these analyses in Mplus, which is widely used by researchers in various fields, including most of the social sciences. In particular, Mplus offers users a wide array of tools for latent variable modelling, including for multilevel data.
More details
Series
Language
English
Place of publication
Oxford
United States
Publishing group
Taylor & Francis Inc
Target group
College/higher education
Professional Practice & Development
Illustrations
20 s/w Abbildungen
20 Illustrations, black and white
Dimensions
Height: 234 mm
Width: 156 mm
Thickness: 18 mm
Weight
512 gr
ISBN-13
978-1-4987-4824-7 (9781498748247)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Holmes Finch | Jocelyn Bolin
Multilevel Modeling Using Mplus
Book
10/2017
1st Edition
CRC Press
€297.12
Shipment within 10-20 days

Holmes Finch | Jocelyn Bolin
Multilevel Modeling Using Mplus
E-Book
02/2017
Chapman & Hall/CRC
€78.99
Available for download

Holmes Finch | Jocelyn Bolin
Multilevel Modeling Using Mplus
E-Book
02/2017
Chapman & Hall/CRC
€78.99
Available for download
Persons
Holmes Finch is the George and Frances Ball Distinguished Professor of Educational Psychology, and Professor in the Department of Educational Psychology at Ball State University where he has been since 2003. He received his PhD from the University of South Carolina in 2002. Dr. Finch teaches courses in factor analysis, structural equation modeling, categorical data analysis, regression, multivariate statistics and measurement to graduate students in psychology and education. His research interests are in the areas of multilevel models, latent variable modeling, methods of prediction and classification, and nonparametric multivariate statistics. Holmes is also an Accredited Professional Statistician (PStat (R)).
Jocelyn Bolin is an Associate Professor in the Department of Educational Psychology at Ball State University, and received her PhD in Educational Psychology from Indiana University Bloomington in 2009. Her dissertation consisted a comparison of statistical classification analyses under situations of training data misclassification. She is now an Assistant Professor in the Department of Educational Psychology at Ball State University where she has been since 2010. Dr. Bolin teaches courses on introductory and intermediate statistics, multiple regression analysis and multilevel modeling for graduate students in social science disciplines. Her research interests include statistical methods for classification and clustering and use of multilevel modeling in the social sciences. She is a member of the American Psychological Association, the American Educational Research Association and the American Statistical Association. Jocelyn is also an Accredited Professional Statistician (PStat (R)).
Jocelyn Bolin is an Associate Professor in the Department of Educational Psychology at Ball State University, and received her PhD in Educational Psychology from Indiana University Bloomington in 2009. Her dissertation consisted a comparison of statistical classification analyses under situations of training data misclassification. She is now an Assistant Professor in the Department of Educational Psychology at Ball State University where she has been since 2010. Dr. Bolin teaches courses on introductory and intermediate statistics, multiple regression analysis and multilevel modeling for graduate students in social science disciplines. Her research interests include statistical methods for classification and clustering and use of multilevel modeling in the social sciences. She is a member of the American Psychological Association, the American Educational Research Association and the American Statistical Association. Jocelyn is also an Accredited Professional Statistician (PStat (R)).
Content
Linear Models. An Introduction to Multilevel Data Structure. Fitting 2-level Models. Additional issues in fitting 2-level models. 3 Level and Higher Models. Longitudinal Data Analysis using Multilevel Models. Brief Introduction to Generalized Linear Models. Multilevel Generalized Linear Models (MGLM) and Multilevel Survival Models. Brief review of latent variable modeling in Mplus. Multilevel latent variable models in Mplus. Bayesian Multilevel Modeling. Appendix: An Introduction to MPlus.