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Statistics for the Behavioral Sciences
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Statistics for the Behavioral Sciences

Fourth Edition


July 2023 | 880 pages | SAGE Publications, Inc
The fourth edition of 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. Using examples from current, relatable research throughout the text, Privitera shows students that statistics can be relevant, interesting, and accessible. The latest 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. All data sets for null hypothesis significance testing satisfy the assumptions for those tests. Updates for the 7th edition of APA style are integrated throughout, especially in APA in Focus sections for reporting results.

Expanded features help students better organize their learning experiences. IBM® SPSS® in Focus sections, updated to version 27,  now follow three steps, Data Entry, Evaluating Assumptions, and Computing the Test, meaning students can move logically from hand calculations to software while incorporating best practices. Step-by-step example problems continue to walk students through the decision tree of analysis, with additional explanations and Making Sense sections providing students with in-depth breakdowns of the most challenging content. Now with over 1,000 author-developed and classroom-tested problems, the text provides students with ample opportunities to practice and check their knowledge. Statistics for the Behavioral Sciences connects students with statistics in a way that reflects not only what best practices are, but also how and why we apply them.


 
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
Key features

NEW TO THIS EDITION:

  • Inclusion of assumptions and assumptions testing ensures students understand the underlying principles of each statistical test, can perform assumptions testing in SPSS, and see appropriate datasets used for each example that conform to assumptions for each test.
  • Expanded and integrated coverage of power analysis, confidence intervals, and hypothesis testing address not just whether an effect has occurred but how big the effect is and where the effect is so that students better appreciate the need for multiple points of evidence throughout the research process.
  • Expanded Data in Research feature boxes give students even more research examples from Chapters 1 through 8.
  • New and expanded Making Sense sections help students tackle to most challenging statistical content with straightforward explanations and reinforcement of concepts.
  • Over 100 Learning Checks have been added or revised, including all new Learning Checks for the SPSS in Focus and APA in Focus sections.
  • All End-of-Chapter Problems have been fully revised.
  • The 7th edition of the Publication Manual of the American Psychological Association is included in the APA in Focus sections so students see the latest guidance for reporting results and is used throughout the text to demonstrate best practices in language use and citations. 
  • Updated scholarship includes introducing the context and research examples related to hypothesis testing in each chapter.
  • Updated figures and tables clarify key concepts.
  • A new Appendix A provides narrative descriptions of statistics, its role in behavioral science, and places statistics in a broader research context.
  • All SPSS screenshots are updated for version 27 of SPSS.
  • An expanded author-created test bank with over 3,000 total questions gives instructors a wide variety of options for test creation.

KEY FEATURES:

  • A conversational writing style empowers students to view statistics as something they are capable of understanding and using.
  • Practice exercises place statistical analysis in the context of current scholarship.
  • All “by hand” calculations are also shown in SPSS to show how values in the formulas are computed and displayed in SPSS.
  • Making Sense sections break down the statistical concepts students typically find most challenging, review important material, and help students make sense of it.
  • SPSS in Focus features provide step-by-step, classroom-tested instruction using practical research examples of how chapter concepts can be applied using SPSS.
  • APA in Focus features explain how to summarize statistical results for each inferential statistic taught and how to read and report statistical results in research journals that follow APA style.
  • Data in Research features (formerly Research in Focus sections) in Chapters 1 through 8 provide context by reviewing pertinent, current research that clarifies or illustrates important statistical concepts discussed in the chapter.
  • Current research examples, often based on data from published research, allow students to see the types of questions that behavioral researchers ask while learning about the statistics researchers use to answer them.
  • Learning Checks provide formative assessment so students can test their understanding of the material as they read.
  • Robust pedagogy, including step-by-step example problems, checkpoints for comprehension, bolded, boxed, and defined key terms, a comprehensive suite of end-of-chapter problems, and a mathematics primer in an appendix, help students master key concepts and skills.
  • Over 30 chapter-ending review problems per chapter, categorized as Factual Problems, Concept and Application Problems, and Problems in Research, allow instructors to easily identify and specifically test the type of knowledge they want to assess. 

 

For instructors

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