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Latent Variable and Latent Structure Models

traditions: psychometrics and structural equation modeling. Latent Variable and Latent Structure Models' thought-provoking chapters from the leading;

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Latent Variable and Latent Structure Models

traditions: psychometrics and structural equation modeling. Latent Variable and Latent Structure Models' thought-provoking chapters from the leading;

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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 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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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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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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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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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 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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Latent Markov Models for Longitudinal Data

focuses on the formulation of latent Markov models and the practical use of these models. Numerous examples illustrate how latent Markov models;

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Latent Markov Models for Longitudinal Data

focuses on the formulation of latent Markov models and the practical use of these models. Numerous examples illustrate how latent Markov models;

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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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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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Confirmatory Factor Analysi For Aplie Re

using popular latent variable software packages (LISREL, Mplus, EQS, SAS/CALIS); understand the similarities and differences between CFA and;

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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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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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Latent Curve Models

autoregressive latent trajectory model, suggests new models for method factors in multiple indicators, discusses repeated latent variable models, and;

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The EM Algorithm and Related Statistical Models

data problems. The text covers current topics including statistical models with latent variables, as well as neural network models, and Markov;

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

then special topics such as missing data models, LGM power and Monte Carlo estimation, and latent growth interaction models. The model;

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An Introduction to Latent Variable Growth Curve Modeling

then special topics such as missing data models, LGM power and Monte Carlo estimation, and latent growth interaction models. The model;

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Latent Variable Modeling with R

exercises, an answer key, and the in-text example data sets. Latent Variable Modeling with R: -Provides some examples that use messy data;

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Latent Variable Modeling with R

exercises, an answer key, and the in-text example data sets. Latent Variable Modeling with R: -Provides some examples that use messy data;

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Latent Variable Modeling Using R

This step-by-step guide is written for R and latent variable model (LVM) novices. Utilizing a path model approach and focusing on the;

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