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Discovering Statistics Using SAS
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Discovering Statistics Using SAS

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February 2010 | 752 pages | SAGE Publications Ltd
Hot on the heels of the 3rd edition of Andy Field's award-winning Discovering Statistics Using SPSS comes this brand new version for students using SAS®. Andy has teamed up with a co-author, Jeremy Miles, to adapt the book with all the most up-to-date commands and programming language from SAS® 9.2. If you're using SAS®, this is the only book on statistics that you will need!

The book provides a comprehensive collection of statistical methods, tests and procedures, covering everything you're likely to need to know for your course, all presented in Andy's accessible and humourous writing style. Suitable for those new to statistics as well as students on intermediate and more advanced courses, the book walks students through from basic to advanced level concepts, all the while reinforcing knowledge through the use of SAS®.

A 'cast of characters' supports the learning process throughout the book, from providing tips on how to enter data in SAS® properly to testing knowledge covered in chapters interactively, and 'real world' and invented examples illustrate the concepts and make the techniques come alive.

The book's companion website (see link above) provides students with a wide range of invented and real published research datasets. Lecturers can find multiple choice questions and PowerPoint slides for each chapter to support their teaching.

 
Why Is My Evil Lecturer Forcing Me to Learn Statistics?
 
Everything You Ever Wanted to Know about Statistics (Well, Sort of)
 
The SAS Environment
 
Exploring Data with Graphs
 
Exploring Assumptions
 
Correlation
 
Regression
 
Logistic Regression
 
Comparing Two Means
 
Comparing Several Means: ANOVA (GLM 1)
 
Analysis of Covariance, ANCOVA (GLM 2)
 
Factorial ANOVA (GLM 3)
 
Repeated-Measures Designs (GLM 4)
 
Mixed Design ANOVA (GLM 5)
 
Non-Parametric Tests
 
Multivariate Analysis of Variance (MANOVA)
 
Exploratory Factor Analysis
 
Categorical Data
 
Multilevel Linear Models

Excellent guide to SAS for Psychology students

Dr Louise Dye
Institute of Psychological Sciences, Leeds University
May 12, 2012

I chose this book because of the entertaining and highly comprehensive style of writing. This book is a useful guide for the students regarding statistical and methodolgical questions during the research project. All theoretical questions are closely connected to the implementation in SAS to provide assistance in understanding and conducting research.

Mr Jakob Grosse
Professur für Marketing, insbesondere Konsumentenforschung, Georg-August-Universität Göttingen
November 2, 2011

The course is focusing on SPSS instead of SAS

Ms Suzanne Fleming
Sociology Dept, University of North Texas
October 31, 2011

The book is suitable for both undergraduate and post graduate courses.

Dr Madhu Acharyya
Business School, Bournemouth University
August 12, 2011

Excellent introduction to statistics using the SAS programming language. Andy Field does an outstanding job translating difficult procedures into easy steps to follow. The best resource for anyone conquering SAS for the first time.

Professor Oliver Wendt
Educational Studies Dept, Purdue University
August 10, 2011

Will use as a supplementary book for my work and student

Mr Emmanuel Bofah
Department of Teacher Education, University of Helsinki
August 8, 2011

This text is being used in a graduate course in our department. The requirement to be able to access SAS turns out to be prohibitive for our udnergraduates, although the grad students have free access.

Dr Kelly Harrison
Psychology Dept, Virginia Polytechnic Institution / State University
April 12, 2011

The book has some nice ways to explain some of the key themes in one of the least favourite areas within undergraduate level Sports Science

Mr James Johnstone
School of Life Sciences, Hertfordshire University
March 22, 2011

This is a beautiful book. We will not be using SAS, however. Would you consider publishing a similar text using Excel? Thanks.

Professor Jeanne Horst
Psychology Dept, Eastern Mennonite University
March 22, 2011

This book provide detailed examples and most kinds of statistics. Meanwhile, it shows how to incorporate Excel and SPSS into SAS. It is a highly recommended book for quantitative research learning and practice.

Dr Chavi Chen
IESEG, School of Management, Catholic University of Lille
March 22, 2011

Sample Materials & Chapters

Chapter One