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Longitudinal Research with Latent Variables

econometric structural equation model by latent factors in 1970, causal modelling by means of latent variables has become the standard in the social;

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Longitudinal Research with Latent Variables

econometric structural equation model by latent factors in 1970, causal modelling by means of latent variables has become the standard in the social;

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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 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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Longitudinal Structural Equation Modeling

later chapters refer back to them. The book opens with a review of latent variables and analysis of binary and ordinal variables. Chapter 2;

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Longitudinal Structural Equation Modeling

later chapters refer back to them. The book opens with a review of latent variables and analysis of binary and ordinal variables. Chapter 2;

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Latent Curve Models

equation models (SEMs) with latent variables. While the authors discuss simple regression-based procedures that are useful in the early stages;

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Advances in Latent Variables

of Brescia from June 19 to 21, 2013. The focus of the book is on advances in statistical methods for analyses with latent variables. In fact;

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Advances in Latent Variables

of Brescia from June 19 to 21, 2013. The focus of the book is on advances in statistical methods for analyses with latent variables. In fact;

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Modern Methods for Business Research

by latent growth curve methods and structures, and configural models of longitudinal categorical data.;

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Modern Methods for Business Research

by latent growth curve methods and structures, and configural models of longitudinal categorical data.;

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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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An Introduction to Latent Class Analysis

: basic latent structure models in a framework of generalized linear models, exploratory latent class analysis, latent class analysis with ordered;

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Dynamic Analysis in the Social Sciences

provides step-by-step instructions for designing and conducting longitudinal research, with special focus on the longitudinal analysis of both;

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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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Longitudinal Data Analysis Using Structural Equation Models

When determining the most appropriate method for analyzing longitudinal data, you must first consider what research question you want to;

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Current Topics in the Theory and Application of Latent Variable Models

variables models in research problems where real-world conditions do not match conventional assumptions. Chapters in this section cover issues such;

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Current Topics in the Theory and Application of Latent Variable Models

variables models in research problems where real-world conditions do not match conventional assumptions. Chapters in this section cover issues such;

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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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Multilevel and Longitudinal Modeling with IBM SPSS

longitudinal experimental designs (Ch.5). Extended discussion of other types of research designs for examining change (e.g., regression;

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Multilevel and Longitudinal Modeling with IBM SPSS

longitudinal experimental designs (Ch.5). Extended discussion of other types of research designs for examining change (e.g., regression;

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Latent Variable Models and Factor Analysis

-linear models and models with mixed latent variables, both categorical and continuous. No prior acquaintance with latent variable modelling;

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

. Updated throughout, the second edition features three new chapters-growth modeling with ordered categorical variables, growth mixture modeling;

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An Introduction to Latent Variable Growth Curve Modeling

. Updated throughout, the second edition features three new chapters-growth modeling with ordered categorical variables, growth mixture modeling;

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Confirmatory Factor Analysis

authors explain, CFA is a theoretically informed statistical framework for linking multiple observed variables to latent variables that are not;

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