Data Analysis and Interpretation in the Behavioral Sciences (with InfoTrac ) / Edition 1

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Zechmeister and Posavac's unique, progressive pedagogical framework presents students with a model of analysis and interpretation called "I-D-E-A". This cutting edge model leads students through the processes of data inspection (I), description (D), estimating (E) confidence in their results, and announcing (A) their findings. Their friendly writing style and systematic approach to statistics involves the student in the topics presented. The authors stress the important first stage of data inspection and also demonstrate how both confidence intervals and effect sizes are complementary to traditional null hypothesis testing. Throughout the book, the authors emphasize the understanding and interpretation of statistics and place less emphasis on computation, acknowledging and encouraging computer-assisted data analysis. Concrete examples at the beginning of each chapter illustrate the kinds of questions and data that will be considered in that section. Having this variety of examples increases the likelihood that a student will relate to at least one of them. Scenarios presented at the beginning of the chapter, which are referred to throughout the chapter so students can see how an example is affected by different stages of analysis and interpretation.

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Editorial Reviews

From the Publisher
"The volume's writing style is very engaging, easy to read, welcoming, friendly, and appropriately informal. Students will find the volume inviting and encouraging because it makes them feel they can do what is being presented."

"The emphasis on the "inspection" phase of data analysis is truly commendable. This is a topic I have never seen covered in an introductory text. It is important both because it is practically useful, but also because it assists students in "getting to know their data." In most texts, students move so quickly past this phase that the numbers upon which they base their computations and eventual conclusions are mere abstractions."

"The approach is "cutting edge" and fills a gap not provided by any introductory level statistics text that I know of. . . . The emphasis is on the application of statistical procedures, rather than the theoretical underpinnings of the statistics, and that is what I want for my students. It is a text that I would readily adopt."

From The Critics
This textbook introduces statistical methods for analyzing the results of behavioral research, and the process of statistical decision making. The authors (psychology, Loyola University) focus on confidence intervals for estimating the precision of findings, effect sizes for describing the strength of findings, and null hypothesis significance testing. Annotation c. Book News, Inc., Portland, OR
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Product Details

  • ISBN-13: 9780534529864
  • Publisher: Cengage Learning
  • Publication date: 9/10/2002
  • Series: Psychology Series
  • Edition description: New Edition
  • Edition number: 1
  • Pages: 552
  • Product dimensions: 7.70 (w) x 9.50 (h) x 1.00 (d)

Meet the Author

Eugene B. Zechmeister (Ph.D., Northwestern University, Evanston, Ill.) is currently a Professor of Psychology at Loyola University of Chicago, where he has served as Director of the Graduate Experimental Psychology Program, Assistant Dean for Social Sciences, and Director of the Undergraduate Psychology Program. Along with teaching psychology, he has published extensively in the field of human learning and memory and has authored five books, including a Research Methods in Psychology text. In 1994, he was the recipient of the Sujack Award for Teaching Excellence in the College of Arts and Sciences. Professor Zechmeister is a fellow in the American Psychological Society and the American Psychological Association (Divisions 1,2,3).

Emil J. Posavac (Ph.D., University of Illinois, Champaign) is Professor of Psychology at Loyola University of Chicago where he has served as Director of the Applied Social Psychology Program and Chairman of the Psychology Department. He has consulted with a number of public and private organizations. He has published sixty papers and chapters, edited or co-edited six volumes on program evaluation and applied social psychology, and written numerous reports for health care and educational institutions. He is the author of "Program Evaluation: Methods and Case Studies." In 1990, he was awarded the Myrdal Award by the American Evaluation Association for his contributions to the advancement of program evaluation practice.

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Table of Contents

Preface. 1. Introduction to the I-D-E-A Model of Data Analysis and Interpretation. Part 1: INSPECTING AND DESCRIBING DATA FROM ONE GROUP. 2. Inspecting Data Point by Point. 3. Inspecting Distributions of Data. 4. Describing Data from One Group. Part 2: I-D-E-A FOR A STUDY INVOLVING A SINGLE MEAN. 5. Estimating Confidence in a Mean. 6. Constructing a Confidence Interval and Announcing Results. Part 3: I-D-E-A WHEN THERE ARE TWO MEANS. 7. Inspecting and Describing Data When Comparing Two Means. 8. Estimating Using Confidence Intervals. 9. Estimating Using Null Hypothesis Significance Testing. 10. Interpreting and Announcing Results. Part 4: I-D-E-A WHEN THERE ARE MORE THAN TWO MEANS. 11. Inspecting, Describing, and Estimating Using Confidence Intervals. 12. Estimating Confidence Using Null Hypothesis Significance Testing, and Announcing Results. 13. I-D-E-A for Complex Designs. Part 5: I-D-E-A WHEN EXAMINING THE RELATIONSHIP BETWEEN TWO VARIABLES. 14. Inspecting and Describing Correlational Data. 15. Estimating Confidence Using Confidence Intervals. 16. Estimating Confidence Using Null Hypothesis Significance Testing, and Announcing Results. 17. Making Predictions. Part 6: I-D-E-A FOR STUDIES WITH NOMINAL DATA. 18. I-D-E-A with Nominal Data. Appendix A: Proportions of Area Under the Standard Normal Curve. Critical Values of t. Critical Values of F. Transformation of r to Zr. Critical Values of r. Critical Values of Chi Square (X2). Appendix B. A Brief Introduction to Power Analysis.

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