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    Contemporary Psychometrics:

    ISBN-10: 0415646952
    ISBN-13: 9780415646956
    Author(s): Albert Maydeu-Olivares, John J. McArdle
    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  More...
    Buy it from: $61.07
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    Publisher: Taylor & Francis
    Binding: Paperback
    Pages: 280
    Size: 6.00" wide x 9.00" long x 1.25" tall
    Weight: 1.870
    Language: English

    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 rules for latent variable SEM, a survey of goodness of fit assessment, SEM resampling methods, a discussion of how to compare correlations between and within independent samples, dynamic factor models based on ARMA time series models, and multi-level factor analysis models for continuous and discrete data.The final section on multivariate analysis includes topics such as dual scaling of ordinal data, model specification and missing data problems in time series models, and a discussion of the themes that run through all multivariate methods.This tour de forcethrough contemporary psychometrics will appeal to advanced students and researchers in the social and behavioral sciences and education, as well as methodologists from other disciplines.

    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

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