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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: http://statisticalsage.wordpress.com/
- Sales Rank: #15987 in Books
- Brand: Kiess, Harold O./ Green, Bonnie A.
- Published on: 2009-01-10
- Original language: English
- Number of items: 1
- Dimensions: 9.90" h x 1.40" w x 8.20" l, 2.64 pounds
- Binding: Hardcover
- 600 pages
From the Back Cover
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.
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: http://statisticalsage.wordpress.com/
Most helpful customer reviews
2 of 2 people found the following review helpful.
Great Introductory Statistics Text!
By TarHeelgal
This text was required for my introduction to statistics course for my Ph.D. program. Although I had taken a few statistics courses during my Master's program, I learned so much in this class as a result of reading and practicing example problems provided by this book. The authors do a great job of explaining important concepts and showing the mathematical computations that occur when you simply type a command into a statistical program. This text starts from the very beginning (assumes you know little) and is incredibly user friendly as it builds up to more advanced methods and approaches. I would recommend using this text along with "A Gentle Introduction to STATA." The two work well together.
0 of 0 people found the following review helpful.
Five Stars
By Dee
Helped me graduate!
1 of 1 people found the following review helpful.
It's OK
By Mary
The author makes some of his explanations more complicated than he needs to leading to confusion for the reader. For me, when any new theory needs to be explained, I prefer the KISS concept.
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