George A Marcoulides: 5 books

Book cover of A First Course in Structural Equation Modeling
by Tenko Raykov, George A. Marcoulides
Language: English
Release Date: August 21, 2012

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...
Book cover of An Introduction to Applied Multivariate Analysis
by Tenko Raykov, George A. Marcoulides
Language: English
Release Date: March 10, 2008

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
Book cover of Basic Statistics

Basic Statistics

An Introduction with R

by Tenko Raykov, George A. Marcoulides
Language: English
Release Date: October 4, 2012

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. Teaches essential...
Book cover of Introduction to Psychometric Theory
by Tenko Raykov, George A. Marcoulides
Language: English
Release Date: January 7, 2011

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...
Book cover of Multivariate Statistical Methods
by George A. Marcoulides, Scott L. Hershberger
Language: English
Release Date: January 14, 2014

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...
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