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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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Current Topics in the Theory and Application of Latent Variable Models

nature of uncertainty in parameter estimates, inferences, and the nature of latent variables and individual differences. This book appeals to;

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Current Topics in the Theory and Application of Latent Variable Models

nature of uncertainty in parameter estimates, inferences, and the nature of latent variables and individual differences. This book appeals to;

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Structural Equation Modeling With EQS

analyses, through to more advanced applications, such as a multi-group, latent growth curve, and multilevel modeling. The new edition features;

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Structural Equation Modeling With EQS

analyses, through to more advanced applications, such as a multi-group, latent growth curve, and multilevel modeling. The new edition features;

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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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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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Growth Curve Modeling

and Applications features an accessible introduction to growth curve modeling and addresses how to monitor the change in variables over time;

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Modern Methods for Business Research

in a particular subject area--is to provide an understanding of each method with a minimum of mathematical derivations. The chapters are;

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Modern Methods for Business Research

in a particular subject area--is to provide an understanding of each method with a minimum of mathematical derivations. The chapters are;

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Latent Variable Modeling with R

developments in these areas, and the relevant R code to use them are reviewed. Each chapter also features an introduction, summary, and suggested;

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Latent Variable Modeling with R

developments in these areas, and the relevant R code to use them are reviewed. Each chapter also features an introduction, summary, and suggested;

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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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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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Handbook of Advanced Multilevel Analysis

the code to run the models, are available on the book's website http://www.hlm-online.com . Each chapter includes an introduction that sets;

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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 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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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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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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Advances in Latent Class Analysis

today. Closer to its time of inception, latent class analysis was viewed primarily as a categorical data analysis technique, often framed as a;

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Confirmatory Factor Analysi For Aplie Re

CFA-related resources. New to This Edition *Updated throughout to incorporate important developments in latent variable modeling;

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Structural Equation Modeling with lavaan

This book presents an introduction to structural equation modeling (SEM) and facilitates the access of students and researchers in various;

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Advances in Growth Curve and Structural Equation Modeling

and explores the growth curve model as a valuable tool for gaining insights into several research topics of interest to academics and;

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An Introduction to Variational Autoencoders

In this monograph, the authors present an introduction to the framework of variational autoencoders (VAEs) that provides a principled;

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