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 Zoë, his son Zach, his crazy spaniel Ramsey and Fuzzy the cat.

Unrivalled in the way it makes the teaching of statistics compelling and accessible to even the most anxious of students, the only statistics textbook lecturers and their students will ever need just got better!

Why Is My Evil Lecturer Forcing Me to Learn Statistics?
What Will This Chapter Tell Me?
What The Hell Am I Doing Here? I Don't Belong Here
Initial Observation: Finding Something That Needs Explaining
Generating Theories And Testing Them
Collect Data to Test Your Theory
Analyzing Data
Reporting Data
Everything You Never Wanted to Know about Statistics
What Will This Chapter Tell Me?
Building Statistical Models
Populations And Samples
Statistical Models
Going Beyond The Data
Using Statistical Models To Test Research Questions
Modern Approaches toTheory Testing
Reporting Statistical Models
The IBM SPSS Statistics Environment
What Will This Chapter Tell Me?
Versions Of IBM SPSS Statistics
Windows versus MacOS
Getting Started
The Data Editor
Importing Data
The SPSS Viewer
Exporting SPSS Output
The Syntax Editor
Saving Files
Retrieving A File
Exploring Data with Graphs
What Will This Chapter Tell Me?
The Art Of Presenting Data
The SPSS Chart Builder
Histograms
Boxplots (Box-Whisker Diagrams)
Graphing Means: Bar Charts And Error Bars
Line Charts
Graphing Relationships: The Scatterplot
Editing Graphs
The Best of Bias
What Will This Chapter Tell Me?
What is Bias?
Spotting Bias
Reducing Bias
Non-parametric Models
What Will This Chapter Tell Me?
When to Use Non-parametric Tests
General Procedure on Non-parametric Tests in SPSS
Comparing Teo Independent Conditions: The Wilcox Rank-sum Test and Mann-Whitney Test
Comparing Two Related Conditions: the Wilcoxon Signed-rank Test
Differences Between Several Independent Groups: The Kruskal-Wallis Test
Differences Between Several Related Groups: Friedman's ANOVA
Correlation
What Will This Chapter Tell Me?
Modelling Relationships
Data Entry For Correlation Analysis Using SPSS
Bivariate Correlation
Partial Correlation
Comparing Correlations
Calculating The Effect Size
How To Report Correlation Coefficents
Regression
What Will This Chapter Tell Me?
An Introduction To Regression
Bias in Regression Models?
Regression Using SPSS: One Predictor
Multiple Regression
Regression With Several Predictors Using SPSS
Interpreting Multiple Regression
Comparing Two Means
What Will This Chapter Tell Me?
Looking at Differences
The t- test
Assumptions of the t- test
The Independent t- test Using SPSS
Paired-samples t- test Using SPSS
Between Groups or Repeated Measures
What is I Violate the Test Assumptions
Moderation, Mediation and More Regression
What Will This Chapter Tell Me?
Installing Custom Dialog Boxes in SPSS
Moderation: Interactions in Regression
Mediation
Categorical Predictors in Regression
Comparing Several Means: ANOVA (GLM 1)
What Will This Chapter Tell Me?
The Theory Behind Anova
Assumptions of Anova
Planned Contrasts
Post hoc Procedures
Running One-way Anova in SPSS
Output From One-way Anova
Calculating the Effect Size
Reporting Results From One-way Independent Anova
Analysis of Covariance, ANCOVA (GLM 2)
What Will This Chapter Tell Me?
What Is ANCOVA?
Assumptions And Issues In ANCOVA
Conducting ANCOVA in SPSS
Interpreting the Output From ANCOVA
Testing The Assumption Of Homogeneity Of Regression Slopes
Calculating The Effect Size
Reporting Results
Factorial ANOVA (GLM 3)
What Will This Chapter Tell Me?
Theory Of Factorial ANOVA (Independent Designs)
Assumptions of Factorial ANOVA
Factorial ANOVA using SPSS
Output From Factorial ANOVA
Interpreting Interaction Graphs
Calculating Effect Sizes
Reporting The Results Of Two-Way ANOVA
Repeated-Measures Designs (GLM 4)
What Will This Chapter Tell Me?
Introduction To Repeated Measures Designs
Theory Of One-Way Repeated-Measures ANOVA
Assumptions in Repeated-Measures ANOVA
One-Way Repeated Measures ANOVA Using SPSS
Output For One-Way Repeated-Measures ANOVA
Effect Sizes For Repeated-Measures ANOVA
Reporting One-Way Repeated-Measures ANOVA
Factorial Repeated-Measures Designs
Output For Factorial Repeated-Measures ANOVA
Effect Sizes For Fa

Lecturers/instructors - request a free digital inspection copy here

With a little help from his weird band of characters the Fourth Edition of the award-winning book continues, with its unique blend of humour and collection of bizarre examples, to bring statistics - from first principles to advanced concepts - well and truly to life using IBM SPSS Statistics.

Lecturers: with WebAssign® you can manage and monitor your students' progress quickly and easily online or give them more opportunities to practise!
Ideal for short courses, choose to use WebAssign® alongside the Fourth Edition of Andy Field's textbook to quickly set up courses and schedule assignments (using the 2159 questions available) and track individual performance so you can spot in an instant where more instruction or practice is needed. If not using for fomal assessment, WebAssign® still lets you set questions for your students to practise over and over again. They get instant feedback and also links to the relevant chapter or section in the integral ebook to help them work out the correct solution.

For more information on how to integrate WebAssign® into a forthcoming course or to arrange a class test please contact your local SAGE representative for more details. (Students please note: access to WebAssign® is dependent not only on the purchase of a student access code (ISBN: 9781446273043) but also a username, institution code and password supplied by your course leader/instructor).

SAGE MobileStudy - study where and when you like
Scan any QR code within the book to access revision material on a smartphone or tablet such as Cramming Sam's Study tips, flashcard glossaries, interactive multiple choice questionnaires and more. Click here to take a look (if you're accessing the site from a desktop you'll be taken to the Companion Website instead; look out for the MobileStudy icon to show you which pages are also available on the MobileStudy site).

See how Andy's book is changing the landscape for textbooks through the use of technology!

Support materials for a wide range of disciplines

Education and Sport Sciences lecturer support materials with enhanced ones for Psychology, Business and Management and the Health Sciences on the enhanced Companion Website make the book even more relevant to a wider range of subjects across the social sciences and where statistics is taught to a cross-disciplinary audience.

Other major new updates include:

Now fully compatible with recent IBM SPSS Statistics releases.
Two new characters! Statistical cult leader Oditi provides students with access to video clips via his Lantern to help further understanding of statistical/SPSS concepts, while Confusius helps students to make better sense of statistical terms.
The enhanced Companion Website offers plenty of lecturer and student material to use in conjunction with the textbook. These include PowerPoints and subject-specific testbanks for lecturers as well as answers to the Smart Alex tasks at the end of the each chapter; datafiles for testing problems in SPSS; flashcards of key concepts; self-assessment multiple-choice questi