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Using SPSS for the Windows and Macintosh: Analyzing and Understanding Data (3rd Edition)

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Title: Using SPSS for the Windows and Macintosh: Analyzing and Understanding Data (3rd Edition)
by Samuel B. Green, Neil J. Salkind
ISBN: 0-13-099004-3
Publisher: Prentice Hall
Pub. Date: 26 July, 2002
Format: Paperback
Volumes: 1
List Price(USD): $62.00
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Average Customer Rating: 5 (3 reviews)

Customer Reviews

Rating: 5
Summary: Step-by-step guide that is a GREAT reference!
Comment: I am currently a Ph.D. student and have had a number of upper-level stat courses. I first received this book toward the end of the required stat courses (Multivariate Methods)...boy, do I wish I had it sooner. Everything is laid out in concise format, it is easy to read, and the material is relevant. Plus, there are also sample APA results sections in each portion. It is a great resource that any grad student should purchase! HIGHLY RECOMMENDED!!

Rating: 5
Summary: Your personalized statistics, SPSS, and APA tutor!
Comment: I first used this book in grad school where I actually took a class from Sam Green. I have been keeping it handy ever since. Every chapter explains the statistical test (purpose, background), gives a couple of applied examples, then takes you through SPSS step by step (what options to click on, etc.), shows you the results and how to interpret each based on the example given at the beginning, and then shows you how to write it all up in APA style (what to italicize, where to put spaces, etc., plus how to express it in words). It is the most useful and practical and easy to understand stats book (or stats teacher) I ever encountered. I highly recommend it to everyone, grad students, researchers, academics.

Rating: 5
Summary: Analyzing and Understanding Data
Comment: A more appropriate name for the book would be "Analyzing and Understanding Data Using SPSS for Windows and Macintosh" to underscore the book's usefulness when one is analyzing data and wants explanations of the statistical procedures. This book is not only helpful to those who conduct quantitative research, but also helpful to students enrolled in applied statistics courses, in general research methods, and any course that involve the analysis of quantitative data. The book is very useful because the authors provide many chapters (i.e., lessons) with research examples of applicability, brief explanations of statistical procedures, discussions of underlying assumptions, step-by-step instructions using research examples (with data), descriptions of interpreting the illustrated SPSS output, and reporting the written or table results in APA style.

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