Modern Statistics for the Social and Behavioral Sciences: A Practical Introduction, Second Edition

Modern Statistics for the Social and Behavioral Sciences: A Practical Introduction, Second Edition

Science & Math
ISBN: 1498796788 Format: PDF Edition: 2 edition Date: August 8, 2017 Pages: 730 pages Language: English

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Book Description

Requiring no prior training, Modern Statistics for the Social and Behavioral Sciences provides a two-semester, graduate-level introduction to basic statistical techniques that takes into account recent advances and insights that are typically ignored in an introductory course.
Hundreds of journal articles make it clear that basic techniques, routinely taught and used, can perform poorly when dealing with skewed distributions, outliers, heteroscedasticity (unequal variances) and curvature. Methods for dealing with these concerns have been derived and can provide a deeper, more accurate and more nuanced understanding of data. A conceptual basis is provided for understanding when and why standard methods can have poor power and yield misleading measures of effect size. Modern techniques for dealing with known concerns are described and illustrated.
Features:

  • Presents an in-depth description of both classic and modern methods
  • Explains and illustrates why recent advances can provide more power and a deeper understanding of data
  • Provides numerous illustrations using the software R
  • Includes an R package with over 1300 functions
  • Includes a solution manual giving detailed answers to all of the exercises
This second edition describes many recent advances relevant to basic techniques. For example, a vast array of new and improved methods is now available for dealing with regression, including substantially improved ANCOVA techniques. The coverage of multiple comparison procedures has been expanded and new ANOVA techniques are described.
Rand Wilcox is a professor of psychology at the University of Southern California. He is the author of 13 other statistics books and the creator of the R package WRS. He currently serves as an associate editor for five statistics journals. He is a fellow of the Association for Psychological Science and an elected member of the International Statistical Institute.

Content

Chapter 1. INTRODUCTION
Chapter 2. NUMERICAL AND GRAPHICAL SUMMARIES OF DATA
Chapter 3. PROBABILITY AND RELATED CONCEPTS
Chapter 4. SAMPLING DISTRIBUTIONS AND CONFIDENCE INTERVALS
Chapter 5. HYPOTHESIS TESTING
Chapter 6. REGRESSION AND CORRELATION
Chapter 7. COMPARING TWO INDEPENDENT GROUPS
Chapter 8. COMPARING TWO DEPENDENT GROUPS
Chapter 9. ONE-WAY ANOVA
Chapter 10. TWO-WAY AND THREE-WAY DESIGNS
Chapter 11. COMPARING MORE THAN TWO DEPENDENT GROUPS
Chapter 12. MULTIPLE COMPARISONS
Chapter 13. SOME MULTIVARIATE METHODS
Chapter 14. ROBUST REGRESSION AND MEASURES OF ASSOCIATION
Chapter 15. BASIC METHODS FOR ANALYZING CATEGORICAL DATA

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Modern Statistics for the Social and Behavioral Sciences: A Practical Introduction, Second Edition
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