Discovering Statistics Using SAS

Discovering Statistics Using SAS


By (author) Andy Field, By (author) Jeremy Miles

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  • Publisher: Sage Publications Ltd
  • Format: Paperback | 752 pages
  • Dimensions: 196mm x 262mm x 44mm | 1,520g
  • Publication date: 30 March 2010
  • Publication City/Country: London
  • ISBN 10: 1849200920
  • ISBN 13: 9781849200929
  • Illustrations note: black & white illustrations, black & white line drawings, black & white tables, figures, charts, graphs
  • Sales rank: 183,054

Product description

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.

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Author information

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 Zoe and Fuzzy the cat.

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) Non-Parametric Tests Multivariate Analysis of Variance (MANOVA) Exploratory Factor Analysis Categorical Data Multilevel Linear Models