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
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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.
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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
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