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George A. Marcoulides

Most popular at the top

  • Modern Methods for Business Researchby George A. Marcoulides

    Taylor and Francis 1998; US$ 83.95

    This volume introduces the latest popular methods for conducting business research. The goal of each chapter author--a leading authority in a particular subject area--is to provide an understanding of each method with a minimum of mathematical derivations. The chapters are organized within three general interrelated topics--Measurement, Decision Analysis,... more...

  • Latent Variable and Latent Structure Modelsby George A. Marcoulides; Irini Moustaki

    Taylor and Francis 2014; US$ 48.95

    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... more...

  • An Introduction to Applied Multivariate Analysisby Tenko Raykov; George A. Marcoulides

    Taylor and Francis 2012; US$ 115.00

    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 between the... more...

  • A First Course in Structural Equation Modelingby Tenko Raykov; George A. Marcoulides

    Taylor and Francis 2012; US$ 49.95

    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... more...

  • New Developments and Techniques in Structural Equation Modelingby George A. Marcoulides; Randall E. Schumacker

    Taylor and Francis 2001; US$ 49.95

    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... more...

  • Introduction to Psychometric Theoryby Tenko Raykov; George A. Marcoulides

    Taylor and Francis 2011; US$ 90.00

    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... more...

  • Basic Statisticsby Tenko Raykov; George A. Marcoulides

    Rowman & Littlefield Publishers 2012; US$ 54.99

    Basic Statistics provides an accessible and comprehensive introduction to statistics using the free, state-of-the-art software program R. This book is designed to both introduce students to key concepts in statistics and to provide simple instructions for using the powerful software program R. more...

  • Advanced Structural Equation Modelingby George A. Marcoulides; Randall E. Schumacker

    Taylor and Francis 2013; US$ 125.00

    By focusing primarily on the application of structural equation modeling (SEM) techniques in example cases and situations, this book provides an understanding and working knowledge of advanced SEM techniques with a minimum of mathematical derivations. The book was written for a broad audience crossing many disciplines, assumes an understanding of graduate... more...

  • Multivariate Statistical Methodsby George A. Marcoulides; Scott L. Hershberger

    Taylor and Francis 2014; US$ 63.95

    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... more...

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