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 | | Applied Statistics for the Behavioral Sciences by Dennis E. Hinkle, William Wiersma, Stephen G. Jurs ISBN-10: 9780618124053 ISBN-10: 0-618-12405-5 ISBN-13: 9780618124053 ISBN-13: 978-0-618-12405-3 Hardcover 2002-10-07 Wadsworth Publishing Find Lowest Price |
Editorials | ||
Product Description This introductory text provides students with a conceptual understanding of basic statistical procedures, as well as the computational skills needed to complete them. The clear presentation, accessible language, and step-by-step instruction make it easy for students from a variety of social science disciplines to grasp the material. The scenarios presented in chapter exercises span the curriculum, from political science to marketing, so that students make a connection between their own area of interest and the study of statistics. Unique coverage focuses on concepts critical to understanding current statistical research such as power and sample size, multiple comparison tests, multiple regression, and analysis of covariance. Additional SPSS coverage throughout the text includes computer printouts and expanded discussion of their contents in interpreting the results of sample exercises. | ||
Reviews | ||
Awesome I was really satisfied with my purchase not only did I get it in a decent time but the book was like new. Thanks a bunch Mari | ||
Stats...class sucks...but i got a great book:) I got the book in great time and the condition of the book was excellent. I wasn't sure about buying a used book at first but I was very pleased with the shipping time, the price, and the condition. | ||
Valuable but not top-notch (1998 version) This book excels at telling you how to apply methods but not why you would, or why you would choose one method over another. The content is mostly dry and recipe-oriented and, like many statistics textbooks, gives the false impression that the field offers few opportunities for interesting judgments and has few areas of controversy. For example, the book typically seems to tell us that a situation either meets the assumptions underlying a particular test (in which case the test can be conducted, almost worry-free) or does not (in which case the test simply cannot be done). Most of us usually find ourselves in the middle ground and could use some guidelines as to the best course. Insights on issues like these are few and far between, though they are thought-provoking and valuable when they do come. The book is pretty well packed with information. The chapters follow an organization I found a little odd, though; you may find yourself writing your own makeshift table of contents or selected index. The book also seems to go through slight shifts in its level of sophistication. All in all, I have spent a fair amount of time with the book and have been glad to own it as a complement and sometimes foil to others. But, starting over, it wouldn't be one of my top choices. | ||
well organized Each chapter is well organized and it is made sure that readers understand the concepts before proceeding. Clear research questions always accompany the statistics involved. All key terms are well explained. Statistics books can be tough. This one is easy to comprehend, especially for introduction and all the fundamentals. I learned all I needed to know to take an introductory stats course and to apply skills. | ||
Superficial treatment of subject if you want to understand the theory and math behind statistics, this book is NOT for you. | ||