Highlights of the book include:
Quick Starts that introduce readers to the concepts and commands reviewed in the chapters.
Margin notes that highlight, define, illustrate, and cross-reference the key concepts. When readers encounter a term previously discussed, the margin notes identify the page number to the initial introduction.
Scenarios that highlight the use of a specific analysis followed by the corresponding R/lessR input and an interpretation of the resulting output.
Numerous examples of output from psychology, business, education, and other social sciences, that demonstrate how to interpret results.
Two data sets, provided on the website and analyzed multiple times in the book, provide continuity throughout.
End of chapter worked problems help readers test their understanding of the concept
To learn more about R Data Analysis without Programming, please click here.
About the Author:
David W. Gerbing is a Professor in the School of Business Administration at Portland State University. He has published extensively in psychology, sociology, education, statistics, and business journals.
Basic Themes and Methods, 2nd Edition
Series: Multivariate Applications Series
By focusing on underlying themes, this book helps readers better understand the connections between multivariate methods. For each method the author highlights: the similarities and differences between the methods, when they are used and the questions they address, the key assumptions and...
Published January 12th 2014 by Routledge
Case Studies and Exercises, Second Edition
This book helps readers apply testing and measurement theories. Featuring 22 self-standing modules, instructors can pick and choose the ones that are most appropriate for their course. Each module features an overview of a measurement issue and a step-by-step application of that theory. Best...
Published November 6th 2013 by Routledge
This book helps readers become better writers of psychology and better writers in general. After reading thousands of course papers, theses, and dissertations, Dr. Miller knows and addresses the issues that students find most challenging when writing about psychology. Written with the utmost...
Published December 4th 2013 by Routledge
Table of Contents:
1. R for Data Analysis
2. Read/Write Data
3. Edit Data
4. Categorical Variables
5. Continuous Variables
6. Means, Compare Two
7. Compare Multiple Samples
9. Regression I
10. Regression II
11. Factor/Item Analysis
To request your complimentary copy, please click here.