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Recent Developments on Structural Equation Models

After Karl Joereskog's first presentation in 1970, Structural Equation Modelling or SEM has become a main statistical tool in many fields;

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Linear Causal Modeling with Structural Equations

Equations integrates a general philosophical theory of causation with structural equation modeling (SEM) that concerns the special case of linear;

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Using LISREL for Structural Equation Modeling

This highly readable introduction to structural equation modeling is designed for researchers and graduate students in the social sciences;

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Using LISREL for Structural Equation Modeling

This highly readable introduction to structural equation modeling is designed for researchers and graduate students in the social sciences;

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Structural Econometric Models

This volume of Advances in Econometrics focuses on recent developments in the use of structural econometric models in empirical economics;

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Structural Equation Modeling (SEM)

Structural equation modeling (SEM) is a general, cross-sectional statistical modeling technique. The chapters in this book propose a;

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New Developments in Psychometrics

recent developments in the theory and application of psychometrics. This volume of proceedings includes papers on methods of psychometrics such;

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Principles And Practice Of Structural Equation Modelling

This popular text provides an accessible guide to the application, interpretation, and pitfalls of structural equation modeling (SEM;

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Structural Equation Modeling

conceptual and practical aspects of Structural Equation Modeling (SEM), this book demonstrates basic concepts and examples of various SEM models;

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Multilevel Structural Equation Modeling

Multilevel Structural Equation Modeling serves as a minimally technical overview of multilevel structural equation modeling (MSEM) for;

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Discovering Structural Equation Modeling Using Stata

Discovering Structural Equation Modeling Using Stata, Revised Edition is devoted to Stata's sem command and all it can do. Learn about its;

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Using Mplus for Structural Equation Modeling: A Researcher's Guide

of structural equation models implemented in the Mplus framework.;

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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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Applied Structural Equation Modelling for Researchers and Practitioners

(SEM). Focusing on R and Stata to implement and perform various structural equation models, Ramlall examines the types, benefits, and;

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Macroeconomic Theory and Macroeconomic Pedagogy

reflect the latest developments in the field. It contains 16 essays on topics including the 3-equation New Consensus model, extensions and;

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Macroeconomic Theory And Macroeconomic Pedagogy

reflect the latest developments in the field. It contains 16 essays on topics including the 3-equation New Consensus model, extensions and;

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Multiple-Regression in Behavioral Research

and their suitability for specific tasks. * Multiple Regression introduces path analysis and structural equation models, including indices;

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Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R

Partial least squares structural equation modeling (PLS-SEM) has become a standard approach for analyzing complex inter-relationships;

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LISREL Issues - Debates and Strategies

modeling. Building on his earlier work in Structural Equation Modeling in LISREL, Leslie Hayduk explains procedures that maximize researchers;

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Structural Equation Modelling

Structural Equation Modeling provides a conceptual and mathematical understanding of structural equation modelling, helping readers across;

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Structural Equation Modelling

Structural Equation Modeling provides a conceptual and mathematical understanding of structural equation modelling, helping readers across;

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Longitudinal Structural Equation Modelin

Featuring actual datasets as illustrative examples, this book reveals numerous ways to apply structural equation modeling (SEM) to any;

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Covariance Structure Models

Building directly on confirmatory factor analysis, Long presents a measurement model (drawn from psychometrics) and a structural equation;

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Structural Equation Modeling

Winner of the 2008 Ziegel Prize for outstanding new book of the year Structural equation modeling (SEM) is a powerful multivariate method;

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Latent Variable Models and Factor Analysis

related techniques for investigating dependency. * Includes new sections on structural equation models (SEM) and Markov Chain Monte Carlo methods;

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Handbook of Marketing Decision Models

management, website design, Internet advertising, social media, and social networks. In addition, it contains chapters on recent methodological;

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A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM)

A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM), by Hair, Hult, Ringle, and Sarstedt, provides a concise;

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