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Statistics for the Behavioral Sciences
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Statistics for the Behavioral Sciences

Fourth Edition


September 2023 | 960 pages | SAGE Publications, Inc
Recipient of the 2024 Textbook & Academic Authors Association (TAA) Textbook Excellence Award
This award recognizes excellence in current textbooks and learning materials.

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. Select the Resources tab on this page to 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.

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
Ouachita Baptist University

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
Northern Arizona University

I believe this approach is much more effective, and I am so glad to see it!

Hilary Campbell
Blue Ridge Community College

The book is extremely well written and easy to follow.

Robyn Cooper
Drake University

The author did a great job on explaining each key concepts, and how to analyze data with SPSS is also clear.

Yukiko Maeda
Purdue University

Very well written and easy to follow for students.

Joshua L. Karelitz
Pennsylvania State University

Review as the primary source for the my Psych Stats course. Has great examples and easy to read.

Dr Melissa C. Baron
Psychology Dept, Kean University - Union
March 29, 2024

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