Multilevel Analysis

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A01=Joop Hox
A01=Mirjam Moerbeek
A01=Rens van de Schoot
advanced multilevel statistical techniques
Author_Joop Hox
Author_Mirjam Moerbeek
Author_Rens van de Schoot
Bayesian modelling
Category=GPS
Category=JB
Category=JHB
Category=JMA
Category=JMB
Category=JNM
Category=KC
Category=KJ
Category=PBT
cross-classified models
Data Sets
Deviance Difference Test
Dummy Variables
eq_bestseller
eq_business-finance-law
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
Full Maximum Likelihood Estimation
hierarchical data analysis
Individual Level Explanatory Variables
Intercept Variance
Intraclass Correlation
Joop J. Hox
Latent Curve Modeling
longitudinal studies
Mirjam Moerbeek
Missing Data
Multilevel Factor Analysis
Multilevel Generalized Linear Model
Multilevel Regression
Multilevel Regression Analysis
Multilevel Regression Models
Multilevel SEM
Multilevel Structural Equation Modeling
power analysis statistics
Pupil Extraversion
Pupil Gender
Rens Van De Schoot
Residual Error Terms
RML Estimation
SEM Software
Standard SEM
survival data methods
Taylor Series Linearization
Van De Schoot
Van Der Leeden

Product details

  • ISBN 9781138121362
  • Weight: 700g
  • Dimensions: 152 x 229mm
  • Publication Date: 14 Sep 2017
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
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Applauded for its clarity, this accessible introduction helps readers apply multilevel techniques to their research. The book also includes advanced extensions, making it useful as both an introduction for students and as a reference for researchers. Basic models and examples are discussed in nontechnical terms with an emphasis on understanding the methodological and statistical issues involved in using these models. The estimation and interpretation of multilevel models is demonstrated using realistic examples from various disciplines including psychology, education, public health, and sociology. Readers are introduced to a general framework on multilevel modeling which covers both observed and latent variables in the same model, while most other books focus on observed variables. In addition, Bayesian estimation is introduced and applied using accessible software.

Joop J. Hox is Emeritus Professor of Social Science Methodology at Utrecht University, the Netherlands.

Mirjam Moerbeek is Associate Professor of Statistics for the Social Sciences at Utrecht University, the Netherlands.

Rens van de Schoot is an Associate Professor of Bayesian Statistics at Utrecht University, the Netherlands, and Extra-Ordinary Professor at the North-West University, South Africa.

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