Data Analysis Using SAS by Chao-Ying Joanne Peng
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Data Analysis Using SAS
By Chao-Ying Joanne Peng

Data Analysis Using SAS

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Format: Paperback

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Data Analysis Using SAS by Chao-Ying Joanne Peng

Book Description

"Data Analysis Using SAS" is a comprehensive core text focused on key concepts and techniques in quantitative data analysis using the most current SAS commands and programming language. The coverage of the text is more evenly balanced among statistical analysis, SAS programming, and data/file management than any available text on the market. As such, it provides students with a hands-on, exercise-heavy method for learning basic to intermediate SAS commands while understanding how to apply statistics and reasoning to real-world problems. Designed to be used in order of teaching preference by instructor, the book is comprised of two sections: the first half of the text instructs students in techniques for data and file managements such as concatenating and merging files, conditional or repetitive processing of variables, and observations.The second half of the text goes into great depth on the most common statistical techniques and concepts - descriptive statistics, correlation, analysis of variance, and regression - used to analyze data in the social, behavioral, and health sciences using SAS commands. "Data Analysis Using SAS" is a complete resource for Data Analysis I and II, Statistics I and II, Quantitative Reasoning, and SAS Programming courses across the social and behavioral sciences and health - especially those that carry a lab component.

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Book Details

ISBN: 9781412956741
ISBN-10: 1412956749
Format: Paperback
(254mm x 178mm x 33mm)
Pages: 640
Imprint: SAGE Publications Inc
Publisher: SAGE Publications Inc
Publish Date: 23-Oct-2008
Country of Publication: United States


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Author Biography - Chao-Ying Joanne Peng

C.Y. Joanne Peng (PhD, University of Wisconsin-Madison, Quantitative Methods with a minor in Statistics) is Professor of Educational Inquiry Methodology and Adjunct Professor of Statistics atIndianaUniversity. Her research interests include logistic regression, missing data methods, and statistical computing using SAS, SPSS, BMDP, Minitab, CLUSTAN, Systat, and S+. She has published more than 50 refereed articles, book chapters, technical reports, and encyclopedia entries on applied statistics, psychometrics, and statistical computing. She is the author or co-author of two books on using SAS(R) for statistical analyses and received one BEST PAPER Award at a SAS(R) users annual conference. She has taught applied statistics and data analysis courses at major Research I universities for the past 20 years, includingUniversity ofWisconsin,University ofIowa,University ofNorth Carolina, andIndianaUniversity. She is a member of the American Statistical Association, American Educational Research Association, American Psychological Association, and the SAS Users Group International.

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