Updated for SAS 9, this second edition is an easy-to-understand introduction to SAS as well as to univariate and multivariate statistics. Clear explanations and simple language guide you through the research terminology, data input, data manipulation, and types of statistical analysis that are most commonly used in the social and behavioral sciences. Providing practice data inspired by actual studies, this book teaches you how to choose the right statistic, understand the assumptions underlying the procedure, prepare the SAS program for the analysis, interpret the output, and summarize the analysis and results according to the format prescribed in the Publication Manual of the American Psychological Association. Step by step, you will learn how to perform the following types of analysis: simple descriptive statistics, measures of bivariate association, t tests for independent samples and paired samples, NOVA and MANOVA, multiple regression, principal component analysis, and assessing scale reliability with coefficient alpha. This text is ideally suited to students who are beginning their study of data analysis, and to professors and researchers who want a handy reference on their bookshelf.

Amazon.com® Reader Reviews (Ranked by Helpfulness)

Average Amazon.com® Rating:  Based on 3 Ratings

learning common tests in SAS - 2005-09-04
Reviewer Rating:
O'Rouke tackles a disconnect that arises naturally between statistics texts and SAS. The former talk in general terms about many important statistical tests, for univariate and multivariate distributions. From books like these, programmers at SAS built up massive libraries that implemented those tests.

Yet to someone outside SAS, who might be a student or professional statistician, knowing in general is often little help in being able to do specific tests in SAS. So O'Rouke wrote what you might think of as a standard text. Except that it is firmly grounded in showing how all this can be done in SAS. It is also suitable as a first text in those tests. In fact, maybe even better than standard texts. Because this book gives you the tools to familiarise yourself with easily running those tests against data sets. Typically, the other books leave you with two things to do. Write those tests (or get software from someone), and apply these against data.

Excellent for beginners of statistics and SAS - 2008-01-03
Reviewer Rating:
This book allowed me to learn statistics and using SAS to do statistics without being overwhelmed. I particularly like the thorough, easy-to-follow explanations that accompany SAS outputs, i.e. the authors explain each section of the lengthy output well. What use is it if you get a bunch of output but don't know how to interpret? The authors try to help you with that, and I would say they are successful.

Sometimes I felt that certain sections are too step-by-step (like detailing the romance study at great depth), but I guess readers can gain some exposure to study designs by going through those paragraphs.

Clear Explanations - 2009-06-05
Reviewer Rating:
This book is very helpful for basic statistical analyses. It also gives examples of how to write up the data for a professional paper.

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