Statistical Concepts for the Behavioral Sciences / Edition 4

The fourth edition of Statistical Concepts for the Behavioral Sciences emphasizes contemporary research problems to better illustrate the relevance of statistical analysis in scientific research. All statistical methods are introduced in the context of a realistic problem, many of which are from contemporary published research. These studies are fully referenced so students can easily access the original research. The uses of statistics are then developed and presented in a conceptually logical progression for increased comprehension by using the accompanying workbook and the problem sets. Several forms of practice problems are available to students and presented in a manner that assists students in mastering component pieces before integrating them together to tackle more complicated, real-world problems.

ISBN-13: 9781108733014

Media Type: Paperback

Publisher: Cambridge University Press

Publication Date: 12-19-2019

Pages: 596

Product Dimensions: 8.03(w) x 10.04(h) x 1.18(d)

Harold O. Kiess is Professor Emeritus, Framingham State University, and received his Ph.D. in Experimental Psychology from the University of Illinois, Urbana-Champaign. While at Framingham, Kiess developed and taught courses in research methodology and statistical analysis, as well as the historical foundations of psychology. He has also authored three editions of Statistical Concepts for the Behavioral Sciences before joining with Bonnie A. Green as co-author for the fourth edition. Bonnie A. Green is Professor of Psychology at East Stroudsburg University and received her Ph.D. in Psychology from Lehigh University, Pennsylvania. As a fellow for the Eastern Psychological Association, Green presents research on student success and effective teaching. She also actively mentors undergraduate students in research, statistics, and psychometrics. Both Kiess and Green have co-authored the book Measuring Humans: Fundamentals of Psychometrics for Selecting and Interpreting Tests (2017).

Table of Contents

1. Making sense of variability: an introduction to statistics; 2. Statistics in the context of scientific research; 3. Looking at data: frequency distributions and graphs; 4. Looking at data: measures of central tendency; 5. Looking at data: measures of variability; 6. The normal distribution, probability, and standard scores; 7. Understanding data: using statistics for inference and estimation; 8. Is there really a difference? Introduction to statistical hypothesis testing; 9. The basics of experimentation and testing for a difference between means; 10. One-factor between-subjects analysis of variance; 11. Two-factor between-subjects analysis of variance; 12. One-factor within-subjects analysis of variance; 13. Correlation: understanding covariation; 14. Regression analysis: predicting linear relationships; 15. Nonparametric statistical tests; Appendix A. Mathematics review; Appendix B. Statistical symbols; Appendix C. Statistical tables; Appendix D. Commonly used formulas; Appendix E. Answers for computational problems; Appendix F. Glossary; References; Name index; Subject index. Show More