Statistics for the Behavioral Sciences 4/e

Gregory J. Privitera is a professor of psychology at St. Bonaventure University where he is a recipient of its highest teaching honor, The Award for Professional Excellence in Teaching, and its highest honor for scholarship, The Award for Professional Excellence in Research and Publication. Dr. Privitera received his PhD in behavioral neuroscience in the field of psychology at the State University of New York at Buffalo and continued with his postdoctoral research at Arizona State University. He is a nationally award-winning author and research scholar. His textbooks span across diverse topics in psychology and the behavioral sciences, including an introductory psychology text, four statistics texts, two research methods texts, and multiple other texts bridging knowledge creation across health, health care, and analytics. In addition, Dr. Privitera has authored more than three dozen peer-reviewed papers aimed at advancing our understanding of health and informing policy in health care. His research has earned recognition by the American Psychological Association, and in media to include Oprah's Magazine, Time Magazine, and the Wall Street Journal. He mentors a variety of undergraduate research projects at St. Bonaventure University, where dozens of students, many of whom have gone on to earn graduate and doctoral degrees at various institutions, have coauthored and presented research work. In addition to his teaching, research, and advisement, Dr. Privitera is a veteran of the U.S. Marine Corps, is an identical twin, and is married with two daughters, Grace Ann and Charlotte Jane, and two sons, Aiden Andrew and Luca James.

PART I. INTRODUCTION AND DESCRIPTIVE STATISTICS 1. Introduction to Statistics 2. Summarizing Data: Frequency Distributions in Tables and Graphs 3. Summarizing Data: Central Tendency 4. Summarizing Data: Variability PART II. PROBABILITY AND THE FOUNDATIONS OF INFERENTIAL STATISTICS 5. Probability 6. Probability, Normal Distributions, and z Scores 7. Probability and Sampling Distributions 8. Hypothesis Testing: Significance, Effect Size, Estimation, and Power PART III. MAKING INFERENCES ABOUT ONE OR TWO MEANS 9. Testing Means: One-Sample t Test With Confidence Intervals 10. Testing Means: Two-Independent-Sample t Tests With Confidence Intervals 11. Testing Means: The Related-Samples t Test With Confidence Intervals PART IV. MAKING INFERENCES ABOUT THE VARIABILITY OF TWO OR MORE MEANS 12. Analysis of Variance: One-Way Between-Subjects Design 13. Analysis of Variance: One-Way Within-Subjects (Repeated-Measures) Design 14. Analysis of Variance: Two-Way Between-Subjects Factorial Design PART V. MAKING INFERENCES ABOUT PATTERNS, FREQUENCIES, AND ORDINAL DATA 15. Correlation 16. Linear Regression and Multiple Regression 17. Nonparametric Tests: Chi-Square Tests 18. Nonparametric Tests: Tests for Ordinal Data Appendix A. Overview of Core Statistical Concepts in the Behavioral Sciences Appendix B. Basic Math Review and Summation Notation Appendix C. SPSS General Instructions Guide With Steps for Evaluating Assumptions for Inferential Statistics Appendix D. Statistical Tables Appendix E. Chapter Solutions for Even-Numbered Problems Glossary References Index

The clarity in which the information is covered and the variety of ways that the information is presented is extremely impressive. For every concept, there is the text, figures, examples, and applications. -- Allyson Phillips I like the idea of some more comprehensive connections between what students learn in lab and class; I think the SPSS components in the text create that connectedness. -- Dana K. Donohue I believe this approach is much more effective, and I am so glad to see it! -- Hilary Campbell The book is extremely well written and easy to follow. -- Robyn Cooper The author did a great job on explaining each key concepts, and how to analyze data with SPSS is also clear. -- Yukiko Maeda Very well written and easy to follow for students. -- Joshua L. Karelitz