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Contemporary Psychometrics:

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ISBN-10: 0415646952

ISBN-13: 9780415646956

Edition: 2012

Authors: Albert Maydeu-Olivares, John J. McArdle

List price: $49.95
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Description:

Contemporary Psychometricsfeatures cutting edge chapters organized in four sections: test theory, factor analysis, structural equation modeling, and multivariate analysis.The section on test theory includes topics such as multidimensional item response theory (IRT), the relationship between IRT and factor analysis, estimation and testing of these models, and basic measurement issues that are often neglected.The factor analysis section reviews the history and development of the model, factorial invariance and factor analysis indeterminacy, and Bayesian inference for factor scores and parameter estimates.The section on structural equation modeling (SEM) includes the general algebraic-graphic…    
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Book details

List price: $49.95
Copyright year: 2012
Publisher: Taylor & Francis
Binding: Paperback
Pages: 280
Size: 6.00" wide x 9.00" long x 1.25" tall
Weight: 1.870
Language: English

Preface
A Personal Story
Test Theory
Multidimensional Item Response Theory Modeling
Limited- and Full-Information Estimation of Item Response Theory Models
Linear Item Response Theory, Non-Linear Item Response Theory and Factor Analysis: A Unified Framework
Neglected Thinking About Measurement in Behavioral Science Research
Factor Analysis Models
A General Introduction to the Common Factor Model
Four Unresolved Problems in Studies of Factorial Invariance
Looking Back on the Indeterminacy Controversies in Factor Analysis
Bayesian Inference for Factor Scores
Structural Equation Models and Related Methods
The Development of the RAM Rules for Latent Variable Structural Equation Modeling
Goodness of Fit in Structural Equation Modeling
Resampling Methods in Structural Equation Modeling
Comparing Correlations: Pattern Hypothesis Tests Between and/or Within Independent Samples
Representing Psychological Processes With Dynamic Factor Models: Some Promising Uses and Extensions of Autoregressive Moving Average Time Series Models
Multilevel Factor Analysis Models for Continuous and Discrete Data
Multivariate Analysis
On the Scaling of Ordinal Measurement: A Dual-Scaling Perspective
Missing Data and the General Transformation Approach to Time Series Analysis
Making Meaning of Multivariate Methods