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 readers 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. Readers 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. An abundance of real data and research studies provide a real-life perspective and help you understand concepts as you learn about the analysis of data.
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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.Review:
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 Distribution-Free 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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