Discovering Statistics Using SAS

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Discovering Statistics Using SAS

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Author(s): Andy Field and Jeremy Miles

ISBN: 9781849200929

Publication date: January 2010

Pages: 760 pages

Price: £39.99

Description

Adapted from Andy Field's award-winning Discovering Statistics Using SPSS, 3rd Edition, this new book is right up-to-date with the most recent 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 (www.sagepub.co.uk/fieldandmilesSAS) provides students with a wide range of invented and real published research datasets, multiple choice questions and a flashcard glossary to test their learning, links to other study skills resources and lots more. Lecturers can find additional multiple choice questions and PowerPoint slides for each chapter to support their teaching.

Sample Material

Read two sample chapters at www.sagepub.co.uk

Table of Contents

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)

Nonparametric Tests

Multivariate Analysis of Variance (MANOVA)

Exploratory Factor Analysis

Categorical Data

Multilevel Linear Models

Epilogue: Things that I never expected to happen as a result of writing a statistics textbook

Glossary

Appendices

Companion website

Visit the companion site for this book.