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Latent Variable Models and Factor Analysis

Latent Variable Models and Factor Analysis provides a comprehensive and unified approach to factor analysis and latent variable modeling;

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Latent Variable Models

Latent Variable Models: An Introduction to Factor, Path, and Structural Equation Analysis introduces latent variable models by utilizing;

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Latent Variable Models

Latent Variable Models: An Introduction to Factor, Path, and Structural Equation Analysis introduces latent variable models by utilizing;

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Statistical Factor Analysis And Related Methods

of factor analysis, this new work represents the first unified treatment of the theory and practice of factor analysis and latent variable models;

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Current Topics in the Theory and Application of Latent Variable Models

analysis, and latent curve modeling, as well as various non-standard data structures and innovative applications. The book is divided into two;

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Current Topics in the Theory and Application of Latent Variable Models

analysis, and latent curve modeling, as well as various non-standard data structures and innovative applications. The book is divided into two;

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Latent Variable and Latent Structure Models

include coverage of approaches dealing with missing values, semi-parametric estimation, robust analysis, hierarchical data, factor scores, multi;

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Confirmatory Factor Analysi For Aplie Re

the go-to resource on confirmatory factor analysis (CFA). Detailed, worked-through examples drawn from psychology, management, and sociology;

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Latent Variable and Latent Structure Models

include coverage of approaches dealing with missing values, semi-parametric estimation, robust analysis, hierarchical data, factor scores, multi;

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Generalized Latent Variable Modeling

, item response or factor models, latent class or finite mixture models, and structural equation models. Following a gentle introduction to;

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Advances in Latent Class Analysis

factor analysis model where both the measured variable indicators and underlying latent variables are categorical. Today, however, it rests;

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Contemporary Psychometrics

relationship between IRT and factor analysis, estimation and testing of these models, and basic measurement issues that are often neglected. The;

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Contemporary Psychometrics

relationship between IRT and factor analysis, estimation and testing of these models, and basic measurement issues that are often neglected. The;

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Latent Variable Modeling with R

basic analyses. From there, each chapter is dedicated to a different latent variable model including exploratory and confirmatory factor;

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Latent Variable Modeling with R

basic analyses. From there, each chapter is dedicated to a different latent variable model including exploratory and confirmatory factor;

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Modern Methods for Business Research

generalizability theory, latent trait and latent class models, and multi-faceted Rasch modeling. The chapters on decision analysis feature applied location;

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Modern Methods for Business Research

generalizability theory, latent trait and latent class models, and multi-faceted Rasch modeling. The chapters on decision analysis feature applied location;

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Statistical Approaches To Measurement Invariance

introductions to classical test theory, factor analysis, and item response theory, and the controversies associated with each, being provided;

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Statistical Approaches To Measurement Invariance

introductions to classical test theory, factor analysis, and item response theory, and the controversies associated with each, being provided;

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Handbook of Latent Variable and Related Models

among observed and latent variables.- Covers a wide class of important models- Models and statistical methods described;

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Latent Markov Models for Longitudinal Data

Drawing on the authors' extensive research in the analysis of categorical longitudinal data, Latent Markov Models for Longitudinal Data;

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Latent Markov Models for Longitudinal Data

Drawing on the authors' extensive research in the analysis of categorical longitudinal data, Latent Markov Models for Longitudinal Data;

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Advances in Latent Variable Mixture Models

latent variable mixture models before the volume moves to more specific constellations of topics. Part I, Multilevel and Longitudinal Systems;

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Latent Variable Modeling Using R

and/or advanced undergraduate courses on latent variable modeling, factor analysis, structural equation modeling, item response theory;

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Latent Variable Modeling Using R

/or advanced undergraduate courses on latent variable modeling, factor analysis, structural equation modeling, item response theory;

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Advances in Latent Variable Mixture Models

latent variable mixture models before the volume moves to more specific constellations of topics. Part I, Multilevel and Longitudinal Systems;

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Latent Variable Analysis and Signal Separation

This book constitutes the proceedings of the 13th International Conference on Latent Variable Analysis and Signal Separation, LVA/ICA 2017;

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