George A. Marcoulides's Books

Basic Statistics

An Introduction with R

By: Tenko Raykov,George A. Marcoulides

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Basic Statistics

An Introduction with R

By: Tenko Raykov,George A. Marcoulides

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 statistical processes and step-by-step commands in R, Basic Statistics will appeal to students and professionals across the social and behavioral sciences.

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Page Count

345

Publisher

Rowman & Littlefield

Published Date

ISBN 10

1442218460

ISBN 13

9781442218468

A First Course in Structural Equation Modeling

By: Tenko Raykov,George A. Marcoulides

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A First Course in Structural Equation Modeling

By: Tenko Raykov,George A. Marcoulides

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 and methods for conducting SEM are independent of any particular software. Highlights of the Second Edition include: • Review of latent change (growth) analysis models at an introductory level • Coverage of the popular Mplus program • Updated examples of LISREL and EQS • Downloadable resources that contains all of the text’s LISREL, EQS, and Mplus examples. A First Course in Structural Equation Modeling is intended as an introductory book for students and researchers in psychology, education, business, medicine, and other applied social, behavioral, and health sciences with limited or no previous exposure to SEM. A prerequisite of basic statistics through regression analysis is recommended. The book frequently draws parallels between SEM and regression, making this prior knowledge helpful.

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Page Count

268

Publisher

Routledge

Published Date

ISBN 10

1135600759

ISBN 13

9781135600754

Multivariate Statistical Methods

A First Course

By: George A. Marcoulides,Scott L. Hershberger

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Multivariate Statistical Methods

A First Course

By: George A. Marcoulides,Scott L. Hershberger

Multivariate statistics refer to an assortment of statistical methods that have been developed to handle situations in which multiple variables or measures are involved. Any analysis of more than two variables or measures can loosely be considered a multivariate statistical analysis. An introductory text for students learning multivariate statistical methods for the first time, this book keeps mathematical details to a minimum while conveying the basic principles. One of the principal 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 --are used as demonstrations. Throughout the book, the computer is used as an adjunct to the presentation of a multivariate statistical method in an empirically oriented approach. Basically, the model adopted in this book is to first present the theory of a multivariate statistical method along with the basic mathematical computations necessary for the analysis of data. Subsequently, a real world problem is discussed and an example data set is provided for analysis. Throughout the presentation and discussion of a method, many references are made to the computer, output are explained, and exercises and examples with real data are included.

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Page Count

338

Publisher

Psychology Press

Published Date

ISBN 10

1317778545

ISBN 13

9781317778547

Introduction to Psychometric Theory

By: Tenko Raykov,George A. Marcoulides

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Introduction to Psychometric Theory

By: Tenko Raykov,George A. Marcoulides

This new text provides a state-of the-art introduction to educational and psychological testing and measurement theory that reflects many intellectual developments of the past two decades. The book introduces psychometric theory using a latent variable modeling (LVM) framework and emphasizes interval estimation throughout, so as to better prepare readers for studying more advanced topics later in their careers. Featuring numerous examples, it presents an applied approach to conducting testing and measurement in the behavioral, social, and educational sciences. Readers will find numerous tips on how to use test theory in today’s actual testing situations. To reflect the growing use of statistical software in psychometrics, the authors introduce the use of Mplus after the first few chapters. IBM SPSS, SAS, and R are also featured in several chapters. Software codes and associated outputs are reviewed throughout to enhance comprehension. Essentially all of the data used in the book are available on the website. In addition instructors will find helpful PowerPoint lecture slides and questions and problems for each chapter. The authors rely on LVM when discussing fundamental concepts such as exploratory and confirmatory factor analysis, test theory, generalizability theory, reliability and validity, interval estimation, nonlinear factor analysis, generalized linear modeling, and item response theory. The varied applications make this book a valuable tool for those in the behavioral, social, educational, and biomedical disciplines, as well as in business, economics, and marketing. A brief introduction to R is also provided. Intended as a text for advanced undergraduate and/or graduate courses in psychometrics, testing and measurement, measurement theory, psychological testing, and/or educational and/or psychological measurement taught in departments of psychology, education, human development, epidemiology, business, and marketing, it will also appeal to researchers in these disciplines. Prerequisites include an introduction to statistics with exposure to regression analysis and ANOVA. Familiarity with SPSS, SAS, STATA, or R is also beneficial. As a whole, the book provides an invaluable introduction to measurement and test theory to those with limited or no familiarity with the mathematical and statistical procedures involved in measurement and testing.

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Page Count

602

Publisher

Routledge

Published Date

ISBN 10

1136900020

ISBN 13

9781136900020

An Introduction to Applied Multivariate Analysis

By: Tenko Raykov,George A. Marcoulides

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An Introduction to Applied Multivariate Analysis

By: Tenko Raykov,George A. Marcoulides

This comprehensive text introduces readers to the most commonly used multivariate techniques at an introductory, non-technical level. By focusing on the fundamentals, readers are better prepared for more advanced applied pursuits, particularly on topics that are most critical to the behavioral, social, and educational sciences. Analogies betwe

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514

Publisher

Routledge

Published Date

ISBN 10

113667599X

ISBN 13

9781136675997

Book's by George A. Marcoulides

Basic Statistics

Basic Statistics

A First Course in Structural Equation Modeling

A First Course in Structural Equation Modeling

Multivariate Statistical Methods

Multivariate Statistical Methods

Introduction to Psychometric Theory

Introduction to Psychometric Theory

An Introduction to Applied Multivariate Analysis

An Introduction to Applied Multivariate Analysis

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