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Statistics for the Behavioral Sciences
Fourth Edition
- Gregory J. Privitera - St. Bonaventure University
October 2023 | 880 pages | SAGE Publications, Inc
Statistics for the Behavioral Sciences by award-winning author Gregory Privitera aims to not only inspire students to use statistics properly to better understand the world around them, but also to develop the skills to be lab-ready in applied research settings. Incorporating examples from current, relatable research throughout the text, Privitera shows students that statistics can be relevant, interesting, and accessible. Robust pedagogy encourages students to continually check their comprehension and hone their skills by working through problem sets throughout the text, including exercises that seamlessly integrate SPSS. This new Fourth Edition gives students a greater awareness of the best practices of analysis in the behavioral sciences, with a focus on transparency in recording, managing, analyzing, and interpreting data.
Included with this title:
LMS Cartridge: Import this title's instructor resources into your school's learning management system (LMS) and save time. Don't use an LMS? You can still access all of the same online resources for this title via the password-protected Instructor Resource Site. Learn more.
Included with this title:
LMS Cartridge: Import this title's instructor resources into your school's learning management system (LMS) and save time. Don't use an LMS? You can still access all of the same online resources for this title via the password-protected Instructor Resource Site. Learn more.
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
Supplements
Instructor Website
Online resources included with this text
The online resources for your text are available via the password-protected Instructor Resource Site, which offers access to all text-specific resources, including a test bank and editable, chapter-specific PowerPoint® slides.
Online resources included with this text
The online resources for your text are available via the password-protected Instructor Resource Site, which offers access to all text-specific resources, including a test bank and editable, chapter-specific PowerPoint® slides.
I believe this approach is much more effective, and I am so glad to see it!
Blue Ridge Community College
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.
Northern Arizona University
The book is extremely well written and easy to follow.
Drake University
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.
Ouachita Baptist University
The author did a great job on explaining each key concepts, and how to analyze data with SPSS is also clear.
Purdue University
Very well written and easy to follow for students.
Pennsylvania State University
