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Multilevel Modeling Using Mplus

Holmes Finch | Jocelyn Bolin
€248.00
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A01=Holmes Finch
A01=Jocelyn Bolin
advanced quantitative techniques
Author_Holmes Finch
Author_Jocelyn Bolin
Bayesian statistics
Category=JMB
Category=PBT
Cognitive Test Anxiety
continuous outcomes
Cumulative Logits Model
eq_bestseller
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
hierarchical data analysis
IRT Model
item response theory
Latent Class
Latent Class Membership
latent variable analysis
latent variable modeling
longitudinal designs
longitudinal research methods
MCMC Draw
Model Fit
Model Fit Information
Mplus Program
Mplus Syntax
Multilevel Latent Class Models
Multilevel Lca
Multilevel Modeling Framework
multilevel modeling with Mplus software
Multilevel Models
Multilevel Ordinal Logistic Regression
Poisson Regression Model
Posterior Distribution
random
Random Coefficient Model
Random Coefficients Multilevel Model
Random Intercept
Random Intercept Model
Random Slope
Regression Model
Single Level Logistic Regression Models
social science statistics
structural equation models
Time Invariant Predictors

Product details

  • ISBN 9781138462410
  • Weight: 780g
  • Dimensions: 156 x 234mm
  • Publication Date: 02 Oct 2017
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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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.
About Holmes Finch | Jocelyn Bolin

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 ®).

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 ®).

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