Sage Publications Ltd – 2010, 752 pages
ISBN: 1849200920, 1849200912, 9781849200929
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 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.
This is probably one of the funniest books I've ever read. And that's saying a lot considering it's not a fiction or biography book. Field's comical examples actually make you want to keep reading.yes, reading about statistics! There are easy to understand explanations for almost every statistical situation a researcher would encounter. He covers the basic terminology, how to explore data with graphs, testing of assumptions, correlation, regression, logistic regression, t-tests, ANOVA (GLM1), analysis of covariance, factorial analysis, repeated-measures designs, mixed designs, non-parametric tests, multivariate analysis, and others. And with the help of Miles, he provides SAS codes for each test! Hallelujah!
I would recommend this book to not only students in a statistics course, but for both biological and social science researchers.
Let me put it this way.this book is saving my dissertation. I'm not a statistician; I'm an immunologist. My PhD research project, which started as testing for a set of genes, has now turned into a full-blown scoring system to predict kidney transplant rejection. I'm using logistic regression to study three different populations and then developing two different scoring systems for use by clinicians. "You want me to do what in Excel?" "SAS? You want me to be sassy?" Thank you Andy and Jeremy! You'll both be in my acknowledgments!