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STATISTICAL METHODS FOR PSYCHOLOGY surveys the statistical techniques commonly used in the behavioral and social sciences, especially psychology and education. To help students gain a better understanding of the specific statistical hypothesis tests that are covered throughout the text, author David Howell emphasize conceptual understanding. Along with significantly updated discussions of effect size and meta-analysis, this Eighth Edition continues to focus on two key themes that are the cornerstones of this book's success: the importance of looking at the data before beginning a hypothesis test, and the importance of knowing the relationship between the statistical test in use and the theoretical questions being asked by the experiment.
- Sales Rank: #10303 in Books
- Brand: Howell, David C.
- Published on: 2012-01-01
- Original language: English
- Number of items: 1
- Dimensions: 10.00" h x 8.00" w x 1.50" l, 3.40 pounds
- Binding: Hardcover
- 792 pages
About the Author
David C. Howell is a professor emeritus and former chair of the psychology department at the University of Vermont. Professor Howell's primary area of research is in statistics and experimental methods. He is also the author of STATISTICAL METHODS FOR PSYCHOLOGY, currently in an Eighth Edition (Wadsworth Cengage Learning, 2013), and the ENCYCLOPEDIA OF STATISTICS IN BEHAVIOR SCIENCE (2005) with Brian Everitt. Before retiring, he frequently served as consultant to other faculty, both in the psychology department and in departments as disparate as Geology and Animal Sciences, and brings those experiences to this endeavor. Professor Howell's other interests include computing and the World Wide Web, and how technology affects communication, teaching, and research.
Most helpful customer reviews
8 of 9 people found the following review helpful.
Fine, but SO FRUSTRATED by # of errors in the 8th ed.
By usererrr
I'm a student, so I cannot offer comparison between this author's tome of Statistical Methods and other similar works. I can offer how FRUSTRATING that number of bad answers in the student manual (odds) are. How you can try to work through problems in which the data promised is nowhere to be found (I'm talking to you Ex11.12.dat and all your compadres!). Chapter 7 has several flat out wrong workings to problems. Set me back HOURS AND HOURS trying to work those out and being confused in trying to LEARN from the worked examples. The editors of this book should hang their heads in shame. Expensive book, someone's success in a course, and big errors. Also what appears to be rushed mismatched re-arrangements from the last edition. I'm still looking for a table in chapter 3 or 4...here table...here table...
I actually HIRED a tutor to help me with problems I had worked correctly, but couldn't reconcile with the book...
Beware - if you don't have solid support from your university's professor or a stat's lab...be prepared to google, get supplemental material, and feel confused.
And lesser - follow some problems through so we can compare and learn how to build a complete example from the data. This happens for a section or two, but more would be great. Also, don't offer us massively hard examples (even supplemental) and tell us to hum through what we don't understand...show us relevant problems and make it clear what we should understand based on learnings from the text and what we shouldn't.
4 of 4 people found the following review helpful.
students do find this confusing sometimes
By Ordinary citizen
generally speaking this is a good book, more on the boundry of graduate texts. I have used this book for ten years in my undergraduate courses, but have two grips. first, the constant flow of "new" editions that are essentially reordering of the same material (undergraduate statistics doesn't change that much) just makes it harder for students to get less expensive used copies (which seems to be the intent behind the constant flow of new editions). second, Howell's attempts to be cute and hip in his examples and wordings often fall flat and students can find them confusing. but I still use the book, perhaps out of laziness on my part.
1 of 1 people found the following review helpful.
Strongly recommended text for first year grad students in psychology or as a statistical handbook for behavioral sciences
By Teddy D. Warner
Having taught undergraduate and graduate level statistics at 4 universities for over 25 years, I HIGHLY recommend this textbook. It is designed for first year graduate students in the social and behavioral sciences and is not suitable for undergraduate students, nor for students needing to learn the detailed mathematical theory underlying modern statistics. Howell has a different text for undergraduates - Fundamental Statistics for the Behavioral Sciences, which I have also used for years in teaching the required course in stats for Psych majors. If all doctoral level graduate students and faculty had a sound grasp of what is taught in this first year graduate level text, reports of data analysis in psychological research would be much better in general. The text includes many good examples of published psychological research, but like ALL stat books it requires great effort on the part of the student. It would be very difficult to cover the material in this text adequately in only one semester. It includes 5 chapters on ANOVA and ANCOVA, a 66 page chapter on multiple regression, a chapter introducing meta-analysis and single case design analysis, and a chapter on nonparametric analysis and introduction to resampling approaches, which will become increasingly used in statistics in the years ahead. I also recommend this text as a desk reference for faculty and other professionals needing a solid statistical general reference source. I thank Dr. David Howell (whom I do not know personally) for providing us such a fine text.
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