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Discovering Statistics Using SAS by Andy Field

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Hot on the heels of Andy Field s best-selling "Discovering Statistics Using SPSS, Third Edition "(2009), the author has teamed up with a co-author, Jeremy Miles, to adapt this textbook for SAS(R) using the most up-to-date commands and programming language available in latest release 9.2. As with its sister textbook, Discovering Statistics Using SAS takes the entry level student from first principles right the way through to advanced level statistical concepts all the while grounding knowledge through the use of SAS . Its approach is to teach statistical concepts as well as the computational principles, commands and language of the SAS software package in one textbook, and given this comprehensive coverage this textbook should be enthusiastically adopted on a wide variety of statistics courses.

Hardcover

First published January 30, 2010

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About the author

Andy Field

49 books76 followers
Andy Field is Professor of Child Psychopathology at the University of Sussex. He has published over 70 research papers, 27 book chapters, and 17 books mostly on child emotional development and statistics.

He is the founding editor of the Journal of Experimental Psychopathology and has been an associate editor and editorial board member for the British Journal of Mathematical and Statistical Psychology, Cognition and Emotion, Clinical Child and Family Psychology Review and Research Synthesis Methods.

His ability to make statistics accessible and fun has been recognized with local and national teaching awards (University of Sussex, 2001; the British Psychological Society, 2007), a prestigious UK National Teaching Fellowship (2010), and the British Psychological Society book award (2006). He adores cats, and loves to listen to and play very heavy music. He lives in Brighton with his wonderful wife Zoë and Fuzzy the cat.

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19 reviews31 followers
August 31, 2021
A book people are gonna love or hate because of the informal, somewhat immature style (more elaborated on in some of the negative reviews of the other books in this series), but this one and the R version were pretty useful in at least getting a footing in the respective programs. You'll know pretty quick if it's a book for you or not though
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