Integrative Statistics for the Social and Behavioral Sciences

Designed to engage students and lower their "fear factor", Integrative Statistics for the Social and Behavioral Sciences is a concise, user-friendly text that prepares students to use statistics in the real world. Providing depth and breadth of statistical tests, the text focuses on choosing the appropriate statistical analysis, and shows how to interpret the output and present the results.

Table of Contents:
About the Authors Preface Acknowledgments Part I. Descriptive Statistics 1. Introduction to Statistics: What Are You Getting Into? 2. Getting Started With Statistics 3. Frequency Distributions and Graphing 4. The Mean and Standard Deviation 5. The Normal Distribution, Standardized Scores, and Probability Part II. Introduction to Hypothesis Testing 6. Sampling Distribution of the Mean and the Single-Sample z Statistic 7. Inferential Statistics 8. Single-Sample Tests 9. Two-Sample Tests Part III. Additional Hypothesis Tests 10. Analysis of Variance (ANOVA) 11. Complex ANOVA Designs 12. Correlation and Regression 13. General Linear Model 14. Nonparametric Tests 15. Review Homework Answers Appendix: Statistical Tables Glossary References Index

About the Author :
Dr. Renee Ha received her Ph.D. in Psychology with a specialization in animal behavior from the University of Washington in 1999.  She is currently on the faculty of the U.W. Department of Psychology.  She has taught courses on statistics, introductory psychology, human development, and various animal behavior courses.  She received a Distinguished Teaching Award from the Psychology Department in 1999.  Her research interests primarily involve wild birds, including social behavior, foraging, and conservation. Dr. James Ha has a 1989 Ph.D. in Zoology/Animal Behavior from Colorado State University and has been on the faculty of the University of Washington since 1992, where he is a Research Associate Professor in the Psychology Department (Animal Behavior Area).  He consults extensively in statistics at U.W. and around the world, while his own research examines the social behavior of Old World monkeys and their management in captivity, Pacific Northwest killer whales, local and Pacific island crows, and domestic dogs.  He has served as a member of the Animal Behavior Society’s Executive Committee in several capacities.  He is also certified as a Full-level Applied Animal Behaviorist and has his own private practice, Companion Animal Solutions, which deals with behavior problems of dogs, cats, and parrots in the Puget Sound area.  He also advises attorneys as an expert legal witness in animal behavior.  He travels extensively and speaks on the topics of his research, especially facets of social behavior in both wild and domestic animals, as well as on the treatment of behavior issues in companion animals.

Review :
I used the book to teach one course, however, will not adopt it in future courses.

Reasons:
- The book focusses too much on ANOVAs and related methods. Regressions are just mentioned on the side. This is a serious downside.
- The book contains serious mistakes in the example exercises. Some answers simply don′t match the questions.
- The book is written in a language that is meant to make scary statstics less scary. In a way I like this approach; however, the authors overdo it. Some parts are almost patronizing. This book is fantastic. I teach geographers who need stats for their research and they always struggle with selecting the proper test, this book offers exactly that. Excellent textbook! Clear and concise with a focus on social sciences. Looking for Blackboard-friendly book Our current text from Sage "Stats for People Who (Think They) Hate Stats" will be used again for the fall semester, 2011. The Instructor for the course is currently satisfied with this text from Sage. This text, although a good one, does not differ significantly from the one that I am currently using. coverage of topics, organization, balance of technical information and hands on application, price Need more sociological statistical methods including binary logistic regression. When individual graduate students require statistical analysis, then I require them to purchase this text. It is easy to understand and concepts have been explained well. Also, this text is helpful for students in selecting the appropriate statistical tools for their projects. A book that is leaning more towards analysis of health research would work better for my students. Have not taught this course recently as another instructor has taken this course over. Will forward text to her. Clear presentation of basic statistics with a research emphasis. Great introduction to statistics which breaks down key concepts in a clear and concise way. Provides extra activities to be completed in seminars or tutorials. This book introduces the basics of statistics in a clear and good way. The structure is very logical and supports the step-by-step-learning process. However, it covers not all topics that are relevant for our curriculum and gives only a rough overview on statistical software. Since statistical calculations are nowadays done almost exlusively by Software, that aspect could have been emphasized more.

Other Feeback:
+ Homework + Solutions
+ Overviews and Summaries

- Boring Examples (Students of the Social and Behavioral Science usually are little motivated for statistics, so interesting examples help) It did not go into enough dept on the subject of regression analysis. I find this book useful, but it may be a little too advanced for some of the students on this course. Others may use it peridoically for certain aspects of their studies. A comprehensive text that will support students when they are completing their research and dissertation modules. This textbook offers some effective examples, but not enough detail or explanation of concepts. It also has no connections to other primary sources or experts for definitions and explanations. It moves too quickly and is simply not appropriate for novices. Might work well as a supplementary text. This book is excellent however, the faculty felt that it was to advanced for our undergrads Well organized.
Additional information for computer-based statistics.
Emphasis on choosing the the most appropriate statistical test.
Ample examples of applied statistics. Decided on another text that has more of a research methods focus. Thanks! This book may be too braod in its outlook for this course.