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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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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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Applied Latent Class Analysis

Applied Latent Class Analysis introduces several innovations in latent class analysis to a wider audience of researchers. Many of the;

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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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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 Class Analysis of Survey Error

Combining theoretical, methodological, and practical aspects, Latent Class Analysis of Survey Error successfully guides readers through the;

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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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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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Structural Equation Modeling

variables, longitudinal latent class analysis (LLCA), latent transition analysis (LTA), growth mixture modeling (GMM) with covariates and distal;

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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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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

-group analysis, and model testing. New methodological topics are illustrated with real applications. The material presented brings together two;

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Latent Variable and Latent Structure Models

-group analysis, and model testing. New methodological topics are illustrated with real applications. The material presented brings together two;

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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 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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Latent Inhibition

collection of studies of latent inhibition, from a variety of disciplines including behavioural/cognitive psychology, neuroscience and genetics;

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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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New Developments in Categorical Data Analysis for the Social and Behavioral Sciences

their application to relevant and interesting data sets. This volume concentrates on latent class analysis and item response theory. These;

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Latent Fingerprint Examination

reliability of latent print examinations and other forensic identification procedures has increased in the last decade. This book discusses latent;

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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 Print Processing Guide

invisible at the time of deposition. Recognition of evidence that may contain fingerprints and the processes that can develop these latent prints;

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Latent Inhibition and Its Neural Substrates

Latent Inhibition and Its Neural Substrates describes a neural network model of attentional processes during associative learning, mainly;

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