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Fundamental Statistics for the Behavioral Sciences

By David C. Howell

9th Edition © 2017
Discipline:Psychology
Course:Research Methods and Statistics
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FUNDAMENTAL STATISTICS FOR THE BEHAVIORAL SCIENCES focuses on providing 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 the logic behind the statistics, so they understand why and how certain methods are used -- rather than simply carry out techniques by rote. 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 by an experiment. Written in an informal style, the text includes an abundance of real data and research studies that provide a real-life perspective and help students learn and understand concepts. In alignment with current trends in statistics in the behavioral sciences, the text emphasizes effect sizes and meta-analysis, and integrates frequent demonstrations of computer analyses through SPSS and R.

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About this product

FUNDAMENTAL STATISTICS FOR THE BEHAVIORAL SCIENCES focuses on providing 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 the logic behind the statistics, so they understand why and how certain methods are used -- rather than simply carry out techniques by rote. 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 by an experiment. Written in an informal style, the text includes an abundance of real data and research studies that provide a real-life perspective and help students learn and understand concepts. In alignment with current trends in statistics in the behavioral sciences, the text emphasizes effect sizes and meta-analysis, and integrates frequent demonstrations of computer analyses through SPSS and R.

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.

Table of contents

Chapters

Cover Page
Title Page
Copyright Page
Dedication
Preface
Acknowledgments
Chapter 1. Introduction*Preview this chapter
Chapter 2. Basic Concepts
Chapter 3. Displaying Data
Chapter 4. Measures of Central Tendency
Chapter 5. Measures of Variability
Chapter 6. The Normal Distribution
Chapter 7. Basic Concepts of Probability
Chapter 8. Sampling Distributions and Hypothesis Testing
Chapter 9. Correlation
Chapter 10. Regression
Chapter 11. Multiple Regression
Chapter 12. Hypothesis Tests Applied to Means: One Sample
Chapter 13. Hypothesis Tests Applied to Means: Two Related Samples
Chapter 14. Hypothesis Tests Applied to Means: Two Independent Samples
Chapter 15. Power
Chapter 16. One-Way Analysis of Variance
Chapter 17. Factorial Analysis of Variance
Chapter 18. Repeated-Measures Analysis of Variance
Chapter 19. Chi-Square
Chapter 20. Nonparametric and Distribution-Free Statistical Tests
Chapter 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
References
Show more

Chapter 1. IntroductionPreview this chapter ↗

1.1
A Changing Field ↗
1.2
The Importance of Context ↗
1.3
Basic Terminology
Preview this section ↗
Descriptive Statistics ↗
Inferential Statistics ↗
1.4
Selection among Statistical Procedures
Preview this section ↗
Types of Data ↗
Differences versus Relationships ↗
Number of Groups or Variables ↗
1.5
Using Computers ↗
1.6
Summary ↗
Key Terms ↗
1.7
A Quick Review ↗
1.8
Exercises ↗
Show more

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