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Data Analysis Using SAS

ISBN-10: 1412956749

ISBN-13: 9781412956741

Edition: 2009

Authors: Chao-Ying Joanne Peng, C. Y. Joanne Peng

List price: $131.00
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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 primary 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, behavorial, and health sciences using SAS commands. A student study for students and for instructors comes replete with a multitude of computer programs, their output, specific details on how to check assumptions, as well as all data sets used in the book. 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

List price: $131.00
Copyright year: 2009
Publisher: SAGE Publications, Incorporated
Publication date: 8/28/2008
Binding: Paperback
Pages: 640
Size: 7.00" wide x 10.00" long x 1.25" tall
Weight: 2.398
Language: English

C.Y. Joanne Peng (PhD, University of Wisconsin-Madison, Quantitative Methodswith a minor in Statistics) is Professor of Educational Inquiry Methodology andAdjunct Professor of Statistics at Indiana University . Her research interestsinclude logistic regression, missing data methods, and statistical computing usingSAS, SPSS, BMDP, Minitab, CLUSTAN, Systat, and S+. Shehas published more than 50 refereed articles, book chapters, technical reports,and encyclopedia entries on applied statistics, psychometrics, and statisticalcomputing. She is the author or co-author of two books on using SAS� forstatistical analyses and received one BEST PAPER Award at a SAS� users annualconference. She has taught applied statistics and data analysis coursesat major Research I universities for the past 20 years, including University of Wisconsin , University of Iowa , University of North Carolina , and Indiana University . She is amember of the American Statistical Association, American Educational ResearchAssociation, American Psychological Association, and the SAS Users GroupInternational.

Introduction to Sas and Basic Data Analysis
Why do you need to learn SAS for data analyses?
Where do you start?
How to prepare data for SAS processing
From data to a SAS data set
Enhancing SAS programs and output
Verifying data
Data transformation
Statistical Procedures
Quick descriptive analysis
Comprehensive descriptive analysis and normality test
Graphing data
Categorical data analysis
T-test of population means
Analysis of variance
Inferences about two or more population typical scores by ranks
Examining trends in data
Correlation
When do you stop worrying and start loving regression?
Advanced Data and File Management
Selecting variables or observations from a SAS data set
Repetitive and conditional data processing
Structuring SAS data sets
What lies beyond this book? Information on reference books, hotlines, and Internet resources
Data sets used in this book
Converting SPSS, STATA, Excel, Minitab, Systat data set files to SAS data sets or data set files