A Step-by-Step Approach to Using SAS for Univariate & Multivariate Statistics

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SAS Institute, 2005 - Computers - 514 pages
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Updated for SAS 9, A Step-by-Step Approach to Using SAS for Univariate and Multivariate Statistics, 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, authors Norm O'Rourke, Larry Hatcher, and Edward Stepanski demonstrate how to perform the following types of analysis: simple descriptive statistics, measures of bivariate association, t tests for independent samples and paired samples, ANOVA 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.
 

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Contents

Basic Concepts in Research and DATA Analysis
1
Introduction to SAS Programs SAS Logs and SAS Output
21
Data Input
29
Working with Variables and Observations in SAS Datasets
57
Exploring Data with PROC MEANS PROC FREQ PROC PRINT and PROC UNIVARIATE
89
Measures of Bivariate Association
119
Assessing Scale Reliability with Coefficient Alpha
155
Independent Samples and Paired Samples
167
Multivariate Analysis of Variance MANOVA with One Between Subjects Factor
279
OneWay ANOVA with One Repeated Measures Factor
299
Factorial ANOVA with Repeated Measures Factors and Between Subjects Factors
325
Multiple Regression
367
Principal Component Analysis
429
Choosing the Correct Statistic
483
Datasets
491
Critical Values of the F Distribution
495

OneWay ANOVA with One Between Subjects Factor
209
Factorial ANOVA with Two Between Subjects Factors
237

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About the author (2005)

Norm O'Rourke, Ph.D. Norm O'Rourke, Ph.D., R.Psych., is a clinical psychologist and assistant professor in the Department of Gerontology at Simon Fraser University in Vancouver, British Columbia, and an associate member of the SFT Department of Psychology. Norm's areas of research interest include mental illness and well-being, marriage in later life, and test construction and validation. He has lived and worked in Canada, the United States, Europe, and Israel. Larry Hatcher, Ph.D. Larry Hatcher, Ph.D., is a professor of psychology at Saginaw Valley State University in Saginaw, Michigan, where he teaches courses in general psychology, industrial psychology, statistics, and computer applications in data analysis. The author of several books dealing with statistics and data analysis, Larry has taught at the college level since 1984, after earning his doctorate in industrial and organizational psychology from Bowling Green State University. Edward J. Stepanski, Ph.D. Edward J. Stepanski, Ph.D., is the director of the Sleep Disorders Service and Research Center at Rush University Medical Center in Chicago and an associate professor of psychology and medicine at Rush Medical College. He uses data warehousing and computer analysis for a variety of research projects aimed at understanding sleep disorders and quantifying sleep-related daytime impairment. Ed earned his doctorate in clinical psychology from Bowling Green State University in 1985 and has written more than 50 papers and book chapters on sleep disorders medicine.

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