Items related to Intermediate Statistics: A Modern Approach, Third Edition
Synopsis
James Stevens’ best-selling text, Intermediate Statistics, 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. SAS and SPSS are an integral part of each chapter. 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
- A CD 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 (Chapter 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 Resource is available upon adoption. See www.researchmethodsarena.com .
"synopsis" may belong to another edition of this title.
Review
"Stevens does an excellent job showing students how to use and read computer output...A strength of this book is the author's very clear explanation of power analysis...The author's presentation style is very readable and easy to follow."
―The American Statistician
"Extremely useful to those conducting educational or other similar research."
―The Statistician
"The greatest strength is the accessibility of the material...readers are exposed to differences in approaches and philosophy for data analyses and are given enough information to make informed decisions for themselves...The illustrations and screen dumps are a strong feature." -Dale E. Berger, PhD, Dept. of Psychology, Claremont Graduate University
"I have not found a textbook that manages the link between intermediate statistical concepts and their application better than Professor Stevens' Intermediate Statistics...The chapter on power analysis is one-of-a-kind...the conceptual and practical appraoch...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, PhD, Dept. of Educational Studies, Ohio University
"I am currently using Stevens 2/e for my Advanced Statistics course for first year graduate students...my class emphasizes the connections between ANOVA and regression...this was one of the only books that covered both topics on a level accessible for clinical students...I will definitely use the 3rd Edition." -Michael Milburn, PhD, Dept. of Psychology, University of Massachusetts-Boston
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- PublisherRoutledge
- Publication date2007
- ISBN 10 0805854665
- ISBN 13 9780805854664
- BindingPaperback
- Edition number3
- Number of pages472
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Softcover. Condition: Good. James Stevens? best-selling text, Intermediate Statistics, 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. SAS and SPSS are an integral part of each chapter. 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 Downloadable resources 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 (Chapter 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 Resource is available upon adoption. See www.researchmethodsarena . Seller Inventory # AMPLE0805854665
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