Statistics for the Behavioral Sciences

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