James Stevens’ best-selling text is written for those who use, rather than develop, statistical techniques. Dr. Stevens focuses on a conceptual understanding of the material rather than on proving the results. Definitional formulas are used on small data sets to provide conceptual insight into what is being measured. The assumptions underlying each analysis are emphasized, and the reader is shown how to test the critical assumptions using SPSS or SAS. Printouts with annotations from SAS or SPSS show how to process the data for each analysis. The annotations highlight what the numbers mean and how to interpret the results. Numerical, conceptual, and computer exercises enhance understanding. Answers are provided for half of the exercises. The book offers comprehensive coverage of one-way, power, and factorial analysis of variance, repeated measures analysis, simple and multiple regression, analysis of covariance, and HLM. Power analysis is an integral part of the book. A computer example of real data integrates many of the concepts. Highlights of the Third Edition include:*a new chapter on hierarchical linear modeling using HLM6;*aCD containing all of the book’s data sets;*new coverage of how to cross validate multiple regression results with SPSS and a new section on model selection (Ch. 6);*more exercises in each chapter.Intended for intermediate statistics or statistics II courses taught in departments of psychology, education, business, and other social and behavioral sciences, a prerequisite of introductory statistics is required. An Instructor’s Solutions CD is available to adopters. "Stevens does an excellent job showing how to use and read computer output....A strength of this book is the author's very clear explanation of power analysis....This is a nice, compact text with a lot of information contained between the covers....The author's presentation style is very readable and easy to follow."-The American Statistician "This book will be found extremely useful to those conducting educational or other similar research and those studying reports of such research by others."-The Statistician "Professor Stevens deserves a hearty congratulations for making a good hands-on statistics book even better! This is likely to be one of a few stat books that students will not sell...after the course is over. It is very readable without becoming too technical or buried in symbols and equations."-Lynne EdwardsUniversity of Minnesota "For a textbook with the scope that is intended, the overall content is quite good. The content for our own second-in-a-series course in statistical methods applied to educational research, very much matches with the topics covered by Stevens. In fact, several of my colleagues have made use of Stevens' first edition in the past."-Joseph WisenbakerUniversity of Georgia "There's a lot to like about what Stevens has chosen to emphasize. I especially like the emphasis on cross-validation and the reasons for it, which weaves through the [multiple regression] chapter as a unifying thread....This book serves a real need, and meets that need well."-George CobbMount Holyoke College "The greatest strength is the accessibility of the material? readers are exposed to differences in approaches and philosophy for data analysis and are given enough information to make informed decisions for themselves?" - Dale E. Berger, Ph.D., Claremont Graduate University "I have not found a textbook that manages the link between intermediate statistical concepts and their application better than Professor Stevens'? The chapter on power analysis is one-of-a kind? The conceptual and practical approach? and the emphasis on assumptions of the statistical tests? separates it from others? This is one of the only textbooks to cover Multiple Regression and ANOVA from their own unique perspectives." - Gordon P. Brooks, Ph.D., The Ohio University