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(More customer reviews)This book is a very well-written and well-organized introduction to SAS. Each chapter includes many examples, which are clearly explained. Rather than simply explaining how to write the code, the author guides the reader through interpreting the results. If you have no experience using SAS, this is a great resource, though more intermediate users may wish to look elsewhere for a more advanced book. For me, the most helpful chapter has been 'When Do You Stop Worrying and Start Loving Regression?', which guides you through writing the initial code (including variations for different types of models) as well as interpreting and testing the results. Highly recommended!
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Data Analysis Using SASoffers 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.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, behavioral, and health sciences using SAS commands. A student studyat www.sagepub.com/pengstudycomes 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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