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Modelling Covariances and Latent Variables Using EQS

modelling of covariance structures and to the use of the EQS software package. It is divided into three parts - the first covering the basic ideas;

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Modelling Covariances and Latent Variables Using EQS

modelling of covariance structures and to the use of the EQS software package. It is divided into three parts - the first covering the basic ideas;

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Structural Equation Modeling With EQS

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

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Longitudinal Research with Latent Variables

Since Charles Spearman published his seminal paper on factor analysis in 1904 and Karl Joresk og replaced the observed variables in an;

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Longitudinal Research with Latent Variables

Since Charles Spearman published his seminal paper on factor analysis in 1904 and Karl Joresk og replaced the observed variables in an;

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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 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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Latent Inhibition and Its Neural Substrates

latent inhibition, and shows how variables in the model can be mapped onto different brain regions and neurotransmitters. The result is a;

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Multilevel Modeling Using Mplus

techniques in a variety of contexts, using Mplus as the software tool, and demonstrating the various functions available for these analyses in Mplus;

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Introduction to Structural Equation Modeling Using IBM SPSS Statistics and EQS

Helping students to successfully visualise SEM by drawing on the graphical interface of EQS and providing plenty of screenshots throughout;

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Multilevel Modeling Using Mplus

modelling techniques in a variety of contexts, using Mplus as the software tool, and demonstrating the various functions available for these;

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Structural Equation Modeling with EQS and EQS/WINDOWS

) using the EQS approach, this practical volume clearly explains and demonstrates a wide variety of SEMEQS applications that include both partial;

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Structural Equation Modeling with EQS and EQS/WINDOWS

) using the EQS approach, this practical volume clearly explains and demonstrates a wide variety of SEMEQS applications that include both partial;

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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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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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Advances in Latent Variables

Conference Advances in Latent Variables. Methods, Models and Applications , held at the Department of Economics and Management of the University;

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Advances in Latent Variables

Conference Advances in Latent Variables. Methods, Models and Applications , held at the Department of Economics and Management of the University;

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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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Essential Questions

and use essential questions in your classroom? Essential questions (EQs) help target standards as you organize curriculum content into;

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Principles and Practice of Structural Equation Modeling

advanced topics are also covered, including estimation of interactive effects of latent variables and multilevel SEM. The companion Web page offers;

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

. Sample data, syntax, input and output, are provided for EQS, Amos, LISREL, and Mplus on the book's CD. Throughout the book, the authors present a;

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

, education, and political persuasion--or ordinal variables--distinguishing levels of interest, such as the preferred politician or the preferred type;

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An Introduction to Latent Variable Growth Curve Modeling

. Sample data, syntax, input and output, are provided for EQS, Amos, LISREL, and Mplus on the book's CD. Throughout the book, the authors present a;

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Multilevel Analysis

variables in the same model, while most other books focus on observed variables. In addition, Bayesian estimation is introduced and applied using;

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