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Integrative Statistics for the Social and Behavioral Sciences
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Integrative Statistics for the Social and Behavioral Sciences

April 2011 | 432 pages | SAGE Publications, Inc
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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.
 
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

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.

Professor Belkis Cabrera
Writing Studio, Keiser University-Kendall
August 19, 2014
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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!

Dr Arika Ligmann-Zielinska
Geography Dept, Michigan State University
January 22, 2014
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A comprehensive text that will support students when they are completing their research and dissertation modules.

Ms Jane Harris
Midwifery and Reproductive Health, Universtity of Chester
March 5, 2013
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Have not taught this course recently as another instructor has taken this course over. Will forward text to her.

Dr Stephen Thompson
Social Science , National-Louis University
February 14, 2013
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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.

Dr Annelies Blom
Sozialwissenschaften, University of Kaiserslautern
November 28, 2012
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Need more sociological statistical methods including binary logistic regression.

Dr Michael Garr
Social Science Dept, Wilkes University
October 15, 2012
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Well organized.
Additional information for computer-based statistics.
Emphasis on choosing the the most appropriate statistical test.
Ample examples of applied statistics.

Professor Gary Hagy
Psychology Dept, California State University - Fresno
July 30, 2012
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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.

Mr Russell Harrison-Paul
School of Nursing (Nottingham), Nottingham University
June 22, 2012
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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)

Mr Georg Valtin
Media Science, Chemnitz University of Technology
March 22, 2012
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Looking for Blackboard-friendly book

Dr David Gilliam
Psychology Dept, University of Northern Colorado
January 31, 2012
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Key features

  • Provides broader coverage than most concise statistics texts: Basic descriptive statistics, hypothesis testing, and basic inferential statistics are covered along with more advanced topics such as correlation, regression, non-parametric statistics, multivariate statistics, and general linear modeling.

  • Emphasizes choosing the appropriate statistical test: This unique emphasis includes conceptual material, assumptions, homework exercises, and a helpful "choose-the-appropriate-test" flowchart.

  • Focuses on the interpretation of results from both Excel and SPSS outputs: Helping students to better interpret and analyze statistics, important calculations are also done by hand to help students grasp the underlying concepts.

  • Class-tested with more than a thousand students: The organization of the material and the level of depth and breadth were tested with the authors' students, who engaged with the easy-to-read narrative style.

  • Includes end-of-chapter Homework Exercises: 15-30 problems per chapter (including many for Excel and SPSS), help students fully grasp the content of each chapter.