An introductory text for students learning multivariate statistical methods for the first time, the intention of this book is to keep mathematical details to a minimum while conveying the basic principles of multivariate statistical methods. One of the principle didactic strategies used throughout the book - in addition to the presentation of actual data analyses - is pointing out the analogy between a common univariate statistical technique and the corresponding multivariate method. Many computer examples - drawing on SAS software only and thereby avoiding the possibility of confusion - are...

An introductory text for students learning multivariate statistical methods for the first time, the intention of this book is to keep mathematical details to a minimum while conveying the basic principles of multivariate statistical methods. One of the principle didactic strategies used throughout the book - in addition to the presentation of actual data analyses - is pointing out the analogy between a common univariate statistical technique and the corresponding multivariate method. Many computer examples - drawing on SAS software only and thereby avoiding the possibility of confusion - are...

Featuring contributions from some of the leading researchers in the field of SEM, most chapters are written by the author(s) who originally proposed the technique and/or contributed substantially to its development. Content highlights include latent variable mixture modeling, multilevel modeling, interaction modeling, models for dealing with nonstandard and noncompliance samples, the latest on the analysis of growth curve and longitudinal data, specification searches, item parceling, and equivalent models. This volume will appeal to educators, psychologists, biologists, business...

This new edited volume features cutting-edge topics from the leading researchers in the areas of latent variable modeling. Content highlights include coverage of approaches dealing with missing values, semiparametric estimation, robust analysis, hierarchical data, factor scores, multi-group analysis, and model testing. New methodological topics are illustrated with real applications. The material presented brings together two traditions: psychometrics and structural equation modeling. Latent Variable and Latent Structure Models' thought-provoking chapters will help to stimulate ideas for...

In this book, authors Tenko Raykov and George A. Marcoulides introduce students to the basics of structural equation modeling (SEM) through a conceptual, nonmathematical approach. For ease of understanding, the few mathematical formulas presented are used in a conceptual or illustrative nature, rather than a computational one.

Featuring examples from EQS, LISREL, and Mplus, A First Course in Structural Equation Modeling is an excellent beginner's guide to learning how to set up input files to fit the most commonly used types of structural equation models with these programs. The...

In this book, authors Tenko Raykov and George A. Marcoulides introduce students to the basics of structural equation modeling (SEM) through a conceptual, nonmathematical approach. For ease of understanding, the few mathematical formulas presented are used in a conceptual or illustrative nature, rather than a computational one. Featuring examples from EQS, LISREL, and Mplus, A First Course in Structural Equation Modeling is an excellent beginner's guide to learning how to set up input files to fit the most commonly used types of structural equation models with these programs. The basic ideas...

Introduces readers to the most commonly used multivariate techniques at an introductory, non-technical level. This book examines in detail how each multivariate technique can be implemented using SPSS and SAS and Mplus. It is useful for graduate and advanced undergraduate students in the behavioural, social, and educational sciences.

Basic Statistics provides an accessible and comprehensive introduction to statistics using the free, state-of-the-art, powerful software program R. This book is designed to both introduce students to key concepts in statistics and to provide simple instructions for using R. This concise book: -Teaches essential concepts in statistics, assuming little background knowledge on the part of the reader -Introduces students to R with as few sub-commands as possible for ease of use -Provides practical examples from the educational, behavioral, and social sciences With clear explanations of...

Basic Statistics provides an accessible and comprehensive introduction to statistics using the free, state-of-the-art, powerful software program R. This book is designed to both introduce students to key concepts in statistics and to provide simple instructions for using R. This concise book: -Teaches essential concepts in statistics, assuming little background knowledge on the part of the reader -Introduces students to R with as few sub-commands as possible for ease of use -Provides practical examples from the educational, behavioral, and social sciences With clear explanations of...

This edited volume features cutting-edge topics from the leading researchers in the areas of latent variable modeling. Content highlights include coverage of approaches dealing with missing values, semi-parametric estimation, robust analysis, hierarchical data, factor scores, multi-group analysis, and model testing. New methodological topics are illustrated with real applications. The material presented brings together two traditions: psychometrics and structural equation modeling. Latent Variable and Latent Structure Models' thought-provoking chapters from the leading researchers in the area...