Synopses & Reviews
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:
Synopsis
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 Blogwhich includes helpful information on teaching and engaging students in your undergraduage statistics course Click here: http: //statisticalsage.wordpress.com/
About 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:
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