Using a truly accessible and reader-friendly approach, this comprehensive introduction to statistics redefines the way statistics can be taught and learned. Unlike other books that merely focus on procedures, Reid’s approach balances development of critical thinking skills with application of those skills to contemporary statistical analysis. He goes beyond simply presenting techniques by focusing on the key concepts readers need to master in order to ensure their long-term success. Indeed, this exciting new book offers the perfect foundation upon which readers can build as their studies and careers progress to more advanced forms of statistics.
Keeping computational challenges to a minimum, Reid shows readers not only how to conduct a variety of commonly used statistical procedures, but also when each procedure should be utilized and how they are related. Following a review of descriptive statistics, he begins his discussion of inferential statistics with a two-chapter examination of the Chi Square test to introduce students to hypothesis testing, the importance of determining effect size, and the need for 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. Exploring challenging topics in an engaging and easy-to-follow manner, Reid builds concepts logically and supports learning through robust pedagogical tools, the use of SPSS, numerous examples, historical quotations, insightful questions, and helpful progress checks.
Tabella dei contenuti
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
Circa l’autore
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.
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