A Step-by-Step Approach to Using SAS for Univariate and Multivariate Statistics, Second Edition

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9781590474174: A Step-by-Step Approach to Using SAS for Univariate and Multivariate Statistics, Second Edition
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Updated for SASŪ9, 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: 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.

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About the Author:

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., 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., 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.

Review:

This book is detailed and systematic with vivid examples, figures, and diagrams that help the reader grasp the material. -- Yaacov G. Bachner Department of Sociology of Health Ben-Gurion University of the Negev Beer Sheva, Israel

This book is detailed, systematic, and easy-to-follow. Each chapter is divided into subtopics that follow one another logically, giving the reader a complete understanding of the concepts. Each topic is accompanied by vivid examples, figures, or diagrams that help the reader grasp the material. In this manner, a gradual and comprehensive knowledge is built. I will definitely use this text myself and strongly recommend it to my students as well as my colleagues. --Yaacov G. Bachner, Department of Sociology of Health, Ben-Gurion University of the Negev Beer Sheva, Israel

This excellent, easily understandable book provides step-by-step examples and detailed descriptions of statistical procedures followed by corresponding short SAS® programs. -- Karol H. Katz

This is an excellent book, which provides detailed descriptions of statistical procedures followed by a corresponding short SAS program. The chapters are ordered from basics to the more complex procedures. Anyone learning statistics would appreciate this easily understandable book. Someone new to SAS can run the step-by-step examples and compare their results with the output in the text. Since the purpose of each line in the SAS/STAT procedure is explained, knowledge gained can soon be transferred to one's own data. I would also recommend this book for experienced Base SAS programmers unfamiliar with statistics who may need or wish to gain new SAS/STAT skills. --Karol H. Katz

This is an excellent book, which provides detailed descriptions of statistical procedures followed by a corresponding short SAS program. The chapters are ordered from basics to the more complex procedures. Anyone learning statistics would appreciate this easily understandable book. Someone new to SAS can run the step-by-step examples and compare their results with the output in the text. Since the purpose of each line in the SAS/STAT procedure is explained, knowledge gained can soon be transferred to one's own data. I would also recommend this book for experienced Base SAS programmers unfamiliar with statistics who may need or wish to gain new SAS/STAT skills. --Karol H. Katz

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Book Description SAS Publishing, United States, 2005. Paperback. Condition: New. 2nd edition. Language: English . Brand New Book ***** Print on Demand *****. 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. Seller Inventory # AAV9781590474174

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Book Description SAS Publishing, United States, 2005. Paperback. Condition: New. 2nd edition. Language: English . Brand New Book ***** Print on Demand *****.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. Seller Inventory # AAV9781590474174

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