Discovering Statistics Using IBM SPSS Statistics

About this book

With an exciting new look, math diagnostic tool, and a research roadmap to navigate projects, this new edition of Andy Field's award-winning text offers a unique combination of humour and step-by-step instruction to make learning statistics compelling and accessible to even the most anxious of students. The Fifth Edition takes students from initial theory to regression, factor analysis, and multilevel modeling, fully incorporating IBM SPSS Statistics version 25 and fascinating examples throughout.

New to the fifth edition:
- Full integration of IBM SPSS Statistics version 25 helps take students from introductory through very advanced statistical concepts.
- A new chapter on the open science movement discusses issues such as p-hacking, HARK-ing, researcher degrees of freedom, and pre-registration of research, and provides an introduction to Bayesian statistics.
- New sections on R demonstrate how to use the R plugin to get Bayes factors and shows students how to do robust tests using R.
- An exciting new character, Misconceptions Mutt, poses common misconceptions about statistics, only to have them dispelled by Correcting Cat.
- The general linear model theme, now expanded, focuses on the commonalities between models traditionally labelled as regression, ANOVA, ANCOVA, t-tests etc.
- Updated throughout, this edition includes even clearer, more engaging presentations, completely redrawn figures, and new SPSS Statistics screen shots.
- Free SAGE edge digital resources expand pedagogical support with SAGE video, case studies, datasets, and more to help students negotiate project work, master data management techniques, and apply key writing and employability skills.

Contents

Chapter 1. Why is My Evil Lecturer Forcing Me to Learn Statistics?
Chapter 2. The Spine of Statistiscs
Chapter 3. The Phoenix of Statistics
Chapter 4. The IBM SPSS Statistics Environment
Chapter 5. Exploring Data With Graphs
Chapter 6. The Beast of Bias
Chapter 7. Non-Parametric Models
Chapter 8. Correlation
Chapter 9. Linear Model (Regression)
Chapter 10. Comparing Two Means
Chapter 11. Moderation, Mediation and Multicategory Predictors
Chapter 12. GLM 1: Comparing Several Independent Means
Chapter 13. GLM 2: Comparing Means Adjusted For Other Predictors (Analysis of Covariance)
Chapter 14. GLM 3: Factorial Designs
Chapter 15. GLM 4: Repeated-Measures Designs
Chapter 16. GLM 5: Mixed Designs
Chapter 17. Multivariate Analysis of Variance (MANOVA)
Chapter 18. Exploratory Factor Analysis
Chapter 19. categorical Outcomes: Chi-Square and Loglinear Analysis
Chapter 20. Categorical Outcomes: Logistic Regression
Chapter 21. Multilevel Linear Models
Chapter 22. Epilogue

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Biography

Andy Field is Professor of Child Psychopathology at the University of Sussex. He has published over 80 research papers, 29 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, 2015, 2016; the British Psychological Society, 2007), a prestigious UK National Teaching Fellowship (2010), and the British Psychological Society book award (2006). He adores cats (and dogs), and loves to listen to and play very heavy music. He lives in Brighton with his wonderful wife Zoe, his son Zach, his crazy spaniel Ramsey and Fuzzy the cat.