This text highlights statistical methods useful for the behavioural sciences from a practitioner's perspective. The format and presentation of statistics should encourage students to research and analyze data. Students are exposed to the power and time-saving features of computer software with examples of output from Minitab, SPSS, BMDP, SAS, and others. Examples and exercises use real data to motivate students and show them the importance of statistical techniques in behavioural research. The edition has been improved by increasing computer coverage and integration, including graphical representations of computer output. Sections on probability, chi-square and multiple regression have been revised for greater clarity.
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1. Basic Concepts. 2. Describing and Exploring Data. 3. The Normal Distribution. 4. Sampling Distributions and Hypothesis Testing. 5. Basic Concepts of Probability. 6. Categorical Data and Chi-Square. 7. Hypothesis Tests Applied to Means. 8. Power. 9. Correlation and Regression. 10. Alternative Correlational Techniques. 11. Simple Analysis of Variance. 12. Multiple Comparisons Among Treatment Means. 13. Factorial Analysis of Variance. 14. Repeated-Measures Designs. 15. Multiple Regression. 16. Analyses Of Variance and Covariance as General Linear Models. 17. Log-Linear Analysis. 18. Resampling and Nonparametric Approaches to Data. Appendices. References. Answers to Selected Exercises. Index.
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 with 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.
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