Discovering Statistics Using SAS
1st Edition
Published on 30. January 2010
752 pages
978-0-85702-150-2 (ISBN)
Description
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 (R). 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 (R) 9.2. If you're using SAS (R), 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 (R).
A 'cast of characters' supports the learning process throughout the book, from providing tips on how to enter data in SAS (R) 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.
A 'cast of characters' supports the learning process throughout the book, from providing tips on how to enter data in SAS (R) 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.
More details
Language
English
Place of publication
London
United Kingdom
Target group
College/higher education
ISBN-13
978-0-85702-150-2 (9780857021502)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Andy Field | Jeremy Miles
Discovering Statistics Using SAS
Book
02/2010
1st Edition
SAGE Publications Ltd
€334.26
Shipment within 15-20 days
Persons
Andy Field is Professor of Quantitative Methods at the University of Sussex. He has published widely (100+ research papers, 29 book chapters, and 17 books in various editions) in the areas of child anxiety and psychological methods and statistics. His current research interests focus on barriers to learning mathematics and statistics.
He is internationally known as a statistics educator. He has written several widely used statistics textbooks including Discovering Statistics Using IBM SPSS Statistics (winner of the 2007 British Psychological Society book award), Discovering Statistics Using R, and An Adventure in Statistics (shortlisted for the British Psychological Society book award, 2017; British Book Design and Production Awards, primary, secondary and tertiary education category, 2016; and the Association of Learned & Professional Society Publishers Award for innovation in publishing, 2016), which teaches statistics through a fictional narrative and uses graphic novel elements. He has also written the adventr and discovr packages for the statistics software R that teach statistics and R through interactive tutorials.
His uncontrollable enthusiasm for teaching statistics to psychologists has led to teaching awards from the University of Sussex (2001, 2015, 2016, 2018, 2019), the British Psychological Society (2006) and a prestigious UK National Teaching fellowship (2010).
He's done the usual academic things: had grants, been on editorial boards, done lots of admin/service but he finds it tedious trying to remember this stuff. None of them matter anyway because in the unlikely event that you've ever heard of him it'll be as the 'Stats book guy'. In his spare time, he plays the drums very noisily in a heavy metal band, and walks his cocker spaniel, both of which he finds therapeutic.
Jeremy Miles, RAND Corporation, USA.
He is internationally known as a statistics educator. He has written several widely used statistics textbooks including Discovering Statistics Using IBM SPSS Statistics (winner of the 2007 British Psychological Society book award), Discovering Statistics Using R, and An Adventure in Statistics (shortlisted for the British Psychological Society book award, 2017; British Book Design and Production Awards, primary, secondary and tertiary education category, 2016; and the Association of Learned & Professional Society Publishers Award for innovation in publishing, 2016), which teaches statistics through a fictional narrative and uses graphic novel elements. He has also written the adventr and discovr packages for the statistics software R that teach statistics and R through interactive tutorials.
His uncontrollable enthusiasm for teaching statistics to psychologists has led to teaching awards from the University of Sussex (2001, 2015, 2016, 2018, 2019), the British Psychological Society (2006) and a prestigious UK National Teaching fellowship (2010).
He's done the usual academic things: had grants, been on editorial boards, done lots of admin/service but he finds it tedious trying to remember this stuff. None of them matter anyway because in the unlikely event that you've ever heard of him it'll be as the 'Stats book guy'. In his spare time, he plays the drums very noisily in a heavy metal band, and walks his cocker spaniel, both of which he finds therapeutic.
Jeremy Miles, RAND Corporation, USA.
Content
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
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
