Unlike most authors who begin with the procedures used with interval/ratio data, Reid begins his discussion of inferential statistics with a two-chapter examination of the Chi Square test, thus introducing students to hypothesis testing, effect size, and post hoc tests. When more complex procedures related to interval/ratio data are covered, students already have a solid understanding of the foundational concepts involved.
Howard M. Reid, professor in the Psychology Department at SUNY Buffalo State, received his doctorate in experimental psychology from the University of Maine and then completed postdoctoral study in behavior genetics at The Jackson Laboratory in Maine. Dr. Reid is an active researcher with broad interests, including published work in operant analysis of behavior and animal models of epilepsy, as well as the associations between ADHD and laterality. He has also directed numerous undergraduate research projects which have been presented at local, regional, and national conferences. Dr. Reid is the recipient of a number of prestigious awards, including the SUNY Chancellor's Awards in Teaching and Faculty Service and the Buffalo State President's Award for Excellence as an Undergraduate Research Mentor. Dr. Reid is currently testing a scale constructed to measure student appreciation of the liberal arts, is working with his statistics TAs in research projects, and chairs the college senate.
Chapter 1. Introduction Part I. Descriptive Statistics - Seeing Clearly with Data Chapter 2. Describing Nominal and Ordinal Data Chapter 3. Describing Interval and Ratio Data - I Chapter 4. Describing Interval and Ratio Data - II Part II. Computer Assisted Statistical Analysis Chapter 5. Using SPSS Part III. Inferential Statistics - Thinking Clearly about Data Chapter 6. The Logic of Inferential Statistics Chapter 7. Finding Differences with Nominal Data - I Chapter 8. Finding Differences with Nominal Data - II Chapter 9. Finding Differences with Interval and Ratio Data - I Chapter 10. Finding Differences with Interval and Ratio Data - II Chapter 11. Finding Differences with Interval/Ratio Data - III Chapter 12. Finding Differences with Interval/Ratio Data - IV Chapter 13. Finding Differences with Interval/Ratio Data - V Chapter 14. Identifying Associations with Nominal and Interval/Ratio Data Chapter 15. Identifying Associations with Interval/Ratio Data Chapter 16. Congratulations - The Big Picture and Next Steps Appendix I. Kruskal - Wallis H Test Appendix II. Spearman r Correlation Appendix III. Multiple Regression Appendix IV. An Introduction to Power Analysis - Finding Minimum Appropriate Sample Sizes Appendix V. Statistical Symbols Used in this Book Appendix VI. Definitional Equations and, Where Appropriate, Their Computational Equation Equivalents Appendix VII. Inferential Statistical Procedures and Their Measures of Effect Size Appendix VIII. Glossary of Terms Appendix IX. Answers to Chapter Problems Appendix X. Statistical Tables Appendix XI. Overview Table for the Book