Discovering Statistics Using IBM SPSS Statistics

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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 Factorial Repeated-Measures ANOVA Reporting The Results From Factorial Repeated-Measures ANOVA Mixed Design ANOVA (GLM 5) What Will This Chapter Tell Me? Mixed Designs Assumptions in Mixed Designs What Do Men And Women Look For In A Partner? Mixed ANOVA in SPSS Output For Mixed Factorial ANOVA Calculating Effect Sizes Reporting The Results Of Mixed ANOVA Multivariate Analysis of Variance (MANOVA) What Will This Chapter Tell Me? When To Use MANOVA Introduction Theory Of MANOVA Practical Issues When Conducting MANOVA MANOVA Using SPSS Output From MANOVA Reporting Results From MANOVA Following Up MANOVA With Discriminant Analysis Output From The Discriminant Analysis Reporting Results From from Discriminant Analysis The Final Interpretation Exploratory Factor Analysis What Will This Chapter Tell Me? When To Use Factor Analysis Factors and Components Discovering Factors Research Example Running The Analysis Interpreting Output From SPSS How To Report Factor Analysis Reliability Analysis How To Report Reliability Analysis Categorical Data What Will This Chapter Tell Me? Analysing Categorical Data Theory Of Analysing Categorical Data Assumptions When Analysing Categorical Data Doing Chi-Square in SPSS Log-Linear Analysis Using SPSS Effect Sizes In Loglinear Analysis Reporting The Results Of Loglinear Analysis Logistic Regression What Will This Chapter Tell Me? Background to Logistic Regression What are the Principles Behind Logistic Regression? Sources of Bias and Common Problems Binary Logistic Regression: An Example That Will Make You Feel Eel Interpreting Logistic Regression How to Report Logistic Regression Testing Assumptions: Another Example Predicting Several Categories: Multinominal Logistic Regression Multilevel Linear Models What Will This Chapter Tell Me? Hierarchical Data Theory Of Multilevel Linear Models The Multilevel Model Some Practical Issues Multilevel Modelling Using SPSS Growth Models How To Report A Multilevel Model A Message From The Octopus of Inescapable Despair Epilogue Nice Emails Everybody Thinks I'm A Statistician Craziness on a Grand Scale

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.

Andy Field has done it again. The fourth edition of Discovering Statistics will transform students who approach statistics with fear and loathing into adroit statistics users who understand key statistical concepts. Field's book is a practical `how to' guide for conducting and understanding basic and advanced statistical analyses using IBM SPSS Statistics. The book is geared toward behavioural and social sciences researchers at all levels - from undergraduates taking their very first statistics course, to postgraduates. -- JoNell Strough * Psychology Learning and Teaching * I think this is a really good starting point for teaching stats - from assuming students knows nothing about and taking them gradually to a more advanced understanding. The book is - very helpfully- full of interesting examples and engaging style of writing. I like it that the book has several `levels of difficulty' and engages both with practical stats and theory. The book I believe is targeted at UG students mainly, but some chapters can be recommended to MA students on research methods courses provided that they know nothing about statistics - the book is written in a very accessible manner which means that it can satisfy the need of international students in terms of level of difficulty and language (and business programmes normally have a lot of international students at MA level). The explanations are logically organized and explained in a lucid and clear manner. Little features like `faces' I believe would make the book more attractive to UG students. I think self-test questions and the tasks at the end of chapter are very helpful, as well as the real world data and (often humorous) examples. My course is MA so I am not adopting this book for a course as a main text, but I may recommend it to students who are completely unfamiliar with statistics. -- Maria Karepova

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