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Fundamental Statistics for the Behavioral Sciences 9th Edition

David C. Howell

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Overview

FUNDAMENTAL STATISTICS FOR THE BEHAVIORAL SCIENCES provides the context of statistics in behavioral research, while emphasizing the importance of looking at data before jumping into a test. This practical approach provides students with an understanding of why and how certain methods are used. Students move beyond number crunching to discover the meaning of statistical results and appreciate how the statistical test to be employed relates to the research questions posed. Real data and research studies provide a real-life perspective and help students learn and understand concepts. In alignment with current trends, the ninth edition emphasizes effect sizes and meta-analysis, and integrates demonstrations of computer analyses through SPSS and R.

David C. Howell, University of Vermont

David C. Howell is a professor emeritus and former chair of the psychology department at the University of Vermont. Professor Howell's primary area of research is in statistics and experimental methods. He is also the author of STATISTICAL METHODS FOR PSYCHOLOGY, currently in an Eighth Edition (Wadsworth Cengage Learning, 2013), and the ENCYCLOPEDIA OF STATISTICS IN BEHAVIOR SCIENCE (2005) with Brian Everitt. Before retiring, he frequently served as consultant to other faculty, both in the psychology department and in departments as disparate as Geology and Animal Sciences, and brings those experiences to this endeavor. Professor Howell's other interests include computing and the World Wide Web, and how technology affects communication, teaching, and research.

MindTap® is the digital learning solution that powers students from memorization to mastery. It gives you complete control of your course—to provide engaging content, to challenge every individual, and to build their confidence. Empower students to accelerate their progress with MindTap.

Developed by teachers, Aplia assignments connect concepts to the real world and focus on the unique course challenges facing students. In the last 15 years, more than two billion answers have been submitted through Aplia, representing millions of students who have come to class more engaged and better prepared.

  • Hundreds of exercises, most of which are based on data from published research, promote student interest and provide the context of statistics in behavioral research.
  • Recent editions emphasize the importance of measures of effect size and, while covering statistical hypothesis tests in detail, downplay the idea that the goal of a statistical analysis is simply to reject, or not reject, some null hypothesis. This approach is very much in line with current discussions of hypothesis testing. The discussion of meta-analysis emphasizes the importance of seeing one experiment in the context of others.
  • Each chapter begins with a listing of terms to be used in the chapter that were introduced earlier. The author includes terms that students have the hardest time understanding, and which consequently warrant repeating. Especially in the early chapters, terms are redefined not only when first introduced, but also when used a second, third, or even a fourth time.
  • The book's clear writing, clear definition of terms, and use of worked out examples help students understand some of the more difficult concepts in statistics.
  • The text is full of applications, with real data used in all examples. This places a real life perspective on the material and allows for deeper student understanding. The applications are listed on the inside front covers.
  • Based on the author's belief that formulas are most helpful in helping students learn concepts, rather than for computation, formulas used in the book are definitional rather than for purposes of calculation.

Fundamental Statistics for the Behavioral Sciences

TABLE OF CONTENTS

1. Introduction.
2. Basic Concepts.
3. Displaying Data.
4. Measures of Central Tendency.
5. Measures of Variability.
6. The Normal Distribution.
7. Basic Concepts of Probability.
8. Sampling Distributions and Hypothesis Testing.
9. Correlation.
10. Regression.
11. Multiple Regression.
12. Hypothesis Tests Applied to Means: One Sample.
13. Hypothesis Tests Applied to Means: Two Related Samples.
14. Hypothesis Tests Applied to Means: Two Independent Samples.
15. Power.
16. One-Way Analysis of Variance.
17. Factorial Analysis of Variance.
18. Repeated-Measures Analysis of Variance.
19. Chi-Square.
20. Nonparametric and Resampling Statistical Tests.
21. Meta-Analysis.
Appendix A: Arithmetic Review.
Appendix B: Symbols and Notation.
Appendix C: Basic Statistical Formulae.
Appendix D: Data Set.
Appendix E: Statistical Tables.
Glossary.
References.
Answers to Exercises.
Index.

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