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Latent Curve Models

the need for this timely publication. Latent Curve Models: A Structural Equation Perspective provides an effective technique to analyze latent;

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Current Topics in the Theory and Application of Latent Variable Models

This book presents recent developments in the theory and application of latent variable models (LVMs) by some of the most prominent;

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Current Topics in the Theory and Application of Latent Variable Models

This book presents recent developments in the theory and application of latent variable models (LVMs) by some of the most prominent;

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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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An Introduction to Latent Variable Growth Curve Modeling: Concepts, Issues, and Application, Second Edition

This book provides a comprehensive introduction to latent variable growth curve modeling (LGM) for analyzing repeated measures. It presents;

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An Introduction to Latent Variable Growth Curve Modeling

This book provides a comprehensive introduction to latent variable growth curve modeling (LGM) for analyzing repeated measures. It presents;

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An Introduction to Latent Class Analysis

This book provides methods and applications of latent class analysis, and the following topics are taken up in the focus of discussion;

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Structural Equation Modeling With EQS

of SEM/EQS applications that include confirmatory factor analytic and full latent variable models. Written in a user-friendly style, the;

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Structural Equation Modeling With EQS

of SEM/EQS applications that include confirmatory factor analytic and full latent variable models. Written in a user-friendly style, the;

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Semialgebraic Statistics and Latent Tree Models

Semialgebraic Statistics and Latent Tree Models explains how to analyze statistical models with hidden (latent) variables. It takes a;

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Semialgebraic Statistics and Latent Tree Models

Semialgebraic Statistics and Latent Tree Models explains how to analyze statistical models with hidden (latent) variables. It takes a;

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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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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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Handbook of Latent Variable and Related Models

This Handbook covers latent variable models, which are a flexible class of models for modeling multivariate data to explore relationships;

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New Developments and Techniques in Structural Equation Modeling

proposed the technique and/or contributed substantially to its development. Content highlights include latent variable mixture modeling, multilevel;

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New Developments and Techniques in Structural Equation Modeling

proposed the technique and/or contributed substantially to its development. Content highlights include latent variable mixture modeling, multilevel;

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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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Generalized Latent Variable Modeling

This book unifies and extends latent variable models, including multilevel or generalized linear mixed models, longitudinal or panel models;

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Longitudinal Structural Equation Modeling with Mplus

uses latent state-trait (LST) theory as a unifying conceptual framework, including the relevant coefficients of consistency, occasion;

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Latent Class and Latent Transition Analysis

One of the few books on latent class analysis (LCA) and latent transition analysis (LTA) with a comprehensive treatment of longitudinal;

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The Exploration for Guessing and Latent Ability in IRT Models

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Advances in Latent Variable Mixture Models

The current volume, Advances in Latent Variable Mixture Models, contains chapters by all of the speakers who participated in the 2006 CILVR;

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Latent Variable and Latent Structure Models

This edited volume features cutting-edge topics from the leading researchers in the areas of latent variable modeling. Content highlights;

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Latent Variable Modeling with R

This book demonstrates how to conduct latent variable modeling (LVM) in R by highlighting the features of each model, their specialized;

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