Synopses & Reviews
Dana S. Dunn, author of The Practical Researcher: A Student Guide to Conducting Psychological Research, brings his twelve years of statistics teaching experience to life in the new Statistics and Data Analysis for the Behavioral Sciences. Dr. Dunn combines the quantitative aspects of statistics with written explanations of what the results of statistical tests mean in a way that students will understand. He incorporates APA style in examples and an appendix to expose students to the expected style of prose. For students with math anxiety or who just need a refresher on basic mathematical functions, he has included an appendix so that faculty are not forced to spend class time reviewing these basic concepts. The book includes a student friendly system of pedagogy to ensure student success. Where possible, Dr. Dunn has included examples and projects for students to conduct research on their own lives to draw personalized meaning from the world of statistics.
About the Author
Dana S. Dunn is currently Associate Professor and Chair of the Department of Psychology at Moravian College in Bethlehem, Pennsylvania. He received his Ph.D. in experimental social psychology from the University of Virginia in 1987 and graduated with a BA in psychology from Carnegie Mellon University in 1982. Professor Dunn has been teaching research methods in psychology for over ten years and has published numerous articles and chapters in the areas of social cognition, rehabilitation psychology, the teaching of psychology and liberal education
Table of Contents
1 Introduction: Statistics and Data Analysis as Tools for Researchers2 Process of Research in Psychology and Related Fields3 Frequency Distributions, Data Display, and Graphing4 Descriptive Statistics: Central Tendency and Variability5 Standard Scores and the Normal Distribution6 Correlation7 Linear Regression8 Probability9 Inferential Statistics: Sampling Distributions and Hypothesis Testing10 Mean Comparison I: The t-test11 Mean Comparison II: One-Variable Analysis of Variance12 Mean Comparison III: Two-Variable Analysis of Variance13 Mean Comparison IV: One-Variable Repeated-Measures Analysis of Variance14 Some Nonparametric Statistics for Categorical and Ordinal Data15 Conclusion: Statistics and Data Analysis in Context