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Latent Variable and Latent Structure Models

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advanced latent variable techniques
Attitude Latent Variable
Category=GPS
Category=JHB
Category=JMB
Category=PBT
class
Conditional Posterior Distributions
Confidence Region
Data Set
distribution
EIF
eq_bestseller
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
equation
error
factor
Factor Score Predictor
FIML Estimate
GLS Estimation
hierarchical statistical models
IRT Model
Latent Class Analysis
Latent Class Model
Latent Structure Models
Latent Trait
Latent Trait Model
Latent Variable
Latent Variable Models
measurement
measurement error modeling
Measurement Error Models
multilevel data methods
Multilevel IRT Model
MVE Estimator
Non-verbal IQ
posterior
Posterior Distribution
psychometric modeling
robust factor analysis
Robust PCA
structural
structural equation analysis
Structural Equation Model
Structural Multilevel Model
trait
Van Der Ark
variables

Product details

  • ISBN 9780415649612
  • Weight: 550g
  • Dimensions: 152 x 229mm
  • Publication Date: 09 Jul 2013
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
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Description

This edited volume features cutting-edge topics from the leading researchers in the areas of latent variable modeling. Content highlights include coverage of approaches dealing with missing values, semi-parametric estimation, robust analysis, hierarchical data, factor scores, multi-group analysis, and model testing. New methodological topics are illustrated with real applications. The material presented brings together two traditions: psychometrics and structural equation modeling. Latent Variable and Latent Structure Models' thought-provoking chapters from the leading researchers in the area will help to stimulate ideas for further research for many years to come.

This volume will be of interest to researchers and practitioners from a wide variety of disciplines, including biology, business, economics, education, medicine, psychology, sociology, and other social and behavioral sciences. A working knowledge of basic multivariate statistics and measurement theory is assumed.
About
George A. Marcoulides, Irini Moustaki