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Statistical Concepts for the Behavioral Sciences / Edition 4

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This text 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.

Visit Bonnie and Hal's Statistical Sage Blog which includes helpful information on teaching and engaging students in your undergraduage statistics course! Click here:

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Editorial Reviews

Provides a conceptual development of basic statistical methods in the context of contemporary research problems in the behavioral sciences, stressing continuity and placing material on correlation and regression at the end of the text. Features problems based on published research, mathematical explanations integrated throughout the text, review questions, and sample journal reports of statistical analysis with exercises. Includes appendices of tables, formulas, and symbols, a mathematics review, and a glossary. Annotation c. Book News, Inc., Portland, OR (
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Product Details

  • ISBN-13: 9780205626243
  • Publisher: Pearson
  • Publication date: 1/12/2009
  • Series: Pearson Custom Library: Psychology Series
  • Edition description: New Edition
  • Edition number: 4
  • Pages: 600
  • Sales rank: 245,595
  • Product dimensions: 8.20 (w) x 10.00 (h) x 1.00 (d)

Meet the Author

Harold O. Kiess is a Professor Emeritus, Framingham State College, Framingham, Massachusetts. He received his Ph.D. in Experimental Psychology from the University of Illinois, Urbana-Champaign in 1967. After several years as a Research Psychologist for the United States Army studying the impact of climatic variables on human performance, he joined the Department of Psychology at Framingham State College. While at Framingham, Hal developed and taught courses in research methodology and statistical analysis, as well as the historical foundations of psychology. His first textbook, Psychological Research Methods: A Conceptual Approach, coauthored with Dr. Douglas W. Bloomquist (Allyn & Bacon, 1985) focused on integrating statistics and research methodology. Hal authored three editions of Statistical Concepts for the Behavioral Sciences before joining with Dr. Bonnie Green as coauthor for the current fourth edition. In recent years his teaching interests focused on using computers and the Internet as teaching tools.

Bonnie A. Green, Ph.D. is an associate professor of psychology at East Stroudsburg University. In addition, she is a member of the Statistical Educational Consulting Center at ESU. Fascinated with how humans learn and remember, Bonnie began her academic career with a B.S. in Elementary Education from Penn State in 1986. After teaching elementary school science and math for several years, she returned to graduate school to obtain a M.S. in Experimental Psychology in 1998 and a Ph.D. in 2002 from Lehigh University. Bonnie Green spent a year at Cedar Crest College teaching behavioral statistics and research methods before joining the faculty at ESU in 2003 where she has been teaching and mentoring undergraduate students in behavioral statistics, research methods, and psychometrics.

Visit Bonnie and Hal's Statistical Sage Blog which includes helpful information on teaching and engaging students in your undergraduate statistics course! Click here:

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Table of Contents

Chapter 1 Making Sense of Variability: An Introduction to Statistics

Chapter 2 Statistics in the Context of Scientific Research

Chapter 3 Looking at Data: Frequency Distributions and Graphs

Chapter 4 Looking at Data: Measures of Central Tendency

Chapter 5 Looking at Data: Measures of Variability

Chapter 6 The Normal Distribution, Probability, and Standard Scores

Chapter 7 Understanding Data: Using Statistics for Inference and Estimation

Chapter 8 Is There Really a Difference? Introduction to Statistical Hypothesis Testing

Chapter 9 The Basics of Experimentation and Testing for a Difference between Means

Chapter 10 One-Factor Between-Subjects Analysis of Variance

Chapter 11 Two-Factor Between-Subjects Analysis of Variance

Chapter 12 One-Factor Within-Subjects Analysis of Variance

Chapter 13 Correlation: Understanding Covariation

Chapter 14 Regression Analysis: Predicting Linear Relationships

Chapter 15 Nonparametric 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

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Customer Reviews

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  • Anonymous

    Posted February 10, 2009

    Solid Book

    I am using this textbook this semester and find it to be detailed yet accessible. I enjoy the examples in the textbook that aid in explaining statistical and research concepts. What I appreciate the most are the practice problems throughout the textbook. The Integrating Your Knowledge questions, in particular are really helpful and interesting. <BR/><BR/>I especially like that this book is much cheaper then most other statistics textbooks.

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