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Multilevel Modeling

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advanced longitudinal research methods
ANCOVA Approach
Category=PBT
Category=UGK
Category=UNC
Classical Meta-analysis
Congeneric Measurement Models
Dummy Variable
Em Algorithm
Em Type Algorithm
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
equation
error
estimates
Gibbs Sampler
growth
growth mixture modeling
Growth Model Approach
ICC
intervention effect estimation
latent
Latent Class Variable
Likelihood Ratio Test Criterion
Low Compliers
meta-analysis techniques
mixture
Model Fit
Multilevel Meta-analysis
Multilevel Models
Multilevel Regression Model
Multilevel Studies
nonlinear hierarchical models
Nonlinear Mixed Effects Model
parameter
Phonemic Awareness
Random Intercept
Repeated Measure ANOVA Model
Repeated Measures Data
repeated measures statistics
Residual Deletion
Split Plot Design
standard
structural
structural equation modeling
variable

Product details

  • ISBN 9780805851700
  • Weight: 600g
  • Dimensions: 152 x 229mm
  • Publication Date: 01 Dec 2003
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Paperback
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Description

This book illustrates the current work of leading multilevel modeling (MLM) researchers from around the world.

The book's goal is to critically examine the real problems that occur when trying to use MLMs in applied research, such as power, experimental design, and model violations. This presentation of cutting-edge work and statistical innovations in multilevel modeling includes topics such as growth modeling, repeated measures analysis, nonlinear modeling, outlier detection, and meta analysis.

This volume will be beneficial for researchers with advanced statistical training and extensive experience in applying multilevel models, especially in the areas of education; clinical intervention; social, developmental and health psychology, and other behavioral sciences; or as a supplement for an introductory graduate-level course.