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 HereInitial Observation: Finding Something That Needs ExplainingGenerating Theories And Testing ThemCollect Data to Test Your TheoryAnalyzing DataReporting DataEverything You Never Wanted to Know about Statistics What Will This Chapter Tell Me?Building Statistical ModelsPopulations And SamplesStatistical ModelsGoing Beyond The DataUsing Statistical Models To Test Research QuestionsModern Approaches toTheory TestingReporting Statistical ModelsThe IBM SPSS Statistics EnvironmentWhat Will This Chapter Tell Me?Versions Of IBM SPSS StatisticsWindows versus MacOSGetting StartedThe Data EditorImporting DataThe SPSS ViewerExporting SPSS OutputThe Syntax EditorSaving FilesRetrieving A FileExploring Data with GraphsWhat Will This Chapter Tell Me?The Art Of Presenting DataThe SPSS Chart BuilderHistogramsBoxplots (Box-Whisker Diagrams)Graphing Means: Bar Charts And Error BarsLine ChartsGraphing Relationships: The ScatterplotEditing GraphsThe Best of BiasWhat Will This Chapter Tell Me?What is Bias?Spotting BiasReducing BiasNon-parametric ModelsWhat Will This Chapter Tell Me?When to Use Non-parametric TestsGeneral Procedure on Non-parametric Tests in SPSSComparing Teo Independent Conditions: The Wilcox Rank-sum Test and Mann-Whitney TestComparing Two Related Conditions: the Wilcoxon Signed-rank TestDifferences Between Several Independent Groups: The Kruskal-Wallis TestDifferences Between Several Related Groups: Friedman's ANOVACorrelationWhat Will This Chapter Tell Me?Modelling RelationshipsData Entry For Correlation Analysis Using SPSSBivariate CorrelationPartial CorrelationComparing CorrelationsCalculating The Effect SizeHow To Report Correlation CoefficentsRegressionWhat Will This Chapter Tell Me?An Introduction To RegressionBias in Regression Models?Regression Using SPSS: One PredictorMultiple RegressionRegression With Several Predictors Using SPSSInterpreting Multiple RegressionComparing Two MeansWhat Will This Chapter Tell Me?Looking at DifferencesThe t-testAssumptions of the t-testThe Independent t-test Using SPSSPaired-samples t-test Using SPSSBetween Groups or Repeated MeasuresWhat is I Violate the Test AssumptionsModeration, Mediation and More RegressionWhat Will This Chapter Tell Me?Installing Custom Dialog Boxes in SPSSModeration: Interactions in RegressionMediationCategorical Predictors in RegressionComparing Several Means: ANOVA (GLM 1)What Will This Chapter Tell Me?The Theory Behind AnovaAssumptions of AnovaPlanned ContrastsPost hoc ProceduresRunning One-way Anova in SPSSOutput From One-way AnovaCalculating the Effect SizeReporting Results From One-way Independent AnovaAnalysis of Covariance, ANCOVA (GLM 2)What Will This Chapter Tell Me?What Is ANCOVA?Assumptions And Issues In ANCOVAConducting ANCOVA in SPSSInterpreting the Output From ANCOVATesting The Assumption Of Homogeneity Of Regression SlopesCalculating The Effect SizeReporting ResultsFactorial ANOVA (GLM 3)What Will This Chapter Tell Me?Theory Of Factorial ANOVA (Independent Designs)Assumptions of Factorial ANOVAFactorial ANOVA using SPSSOutput From Factorial ANOVAInterpreting Interaction GraphsCalculating Effect SizesReporting The Results Of Two-Way ANOVARepeated-Measures Designs (GLM 4)What Will This Chapter Tell Me?Introduction To Repeated Measures DesignsTheory Of One-Way Repeated-Measures ANOVAAssumptions in Repeated-Measures ANOVAOne-Way Repeated Measures ANOVA Using SPSSOutput For One-Way Repeated-Measures ANOVAEffect Sizes For Repeated-Measures ANOVAReporting One-Way Repeated-Measures ANOVAFactorial Repeated-Measures DesignsOutput For Factorial Repeated-Measures ANOVAEffect Sizes For Factorial Repeated-Measures ANOVAReporting The Results From Factorial Repeated-Measures ANOVAMixed Design ANOVA (GLM 5)What Will This Chapter Tell Me?Mixed DesignsAssumptions in Mixed DesignsWhat Do Men And Women Look For In A Partner?Mixed ANOVA in SPSSOutput For Mixed Factorial ANOVACalculating Effect SizesReporting The Results Of Mixed ANOVAMultivariate Analysis of Variance (MANOVA)What Will This Chapter Tell Me?When To Use MANOVAIntroductionTheory Of MANOVAPractical Issues When Conducting MANOVAMANOVA Using SPSSOutput From MANOVAReporting Results From MANOVAFollowing Up MANOVA With Discriminant AnalysisOutput From The Discriminant AnalysisReporting Results From from Discriminant AnalysisThe Final InterpretationExploratory Factor AnalysisWhat Will This Chapter Tell Me?When To Use Factor AnalysisFactors and ComponentsDiscovering FactorsResearch ExampleRunning The AnalysisInterpreting Output From SPSSHow To Report Factor AnalysisReliability AnalysisHow To Report Reliability AnalysisCategorical DataWhat Will This Chapter Tell Me?Analysing Categorical DataTheory Of Analysing Categorical DataAssumptions When Analysing Categorical DataDoing Chi-Square in SPSSLog-Linear Analysis Using SPSSEffect Sizes In Loglinear AnalysisReporting The Results Of Loglinear AnalysisLogistic RegressionWhat Will This Chapter Tell Me?Background to Logistic RegressionWhat are the Principles Behind Logistic Regression?Sources of Bias and Common ProblemsBinary Logistic Regression: An Example That Will Make You Feel EelInterpreting Logistic RegressionHow to Report Logistic RegressionTesting Assumptions: Another ExamplePredicting Several Categories: Multinominal Logistic RegressionMultilevel Linear ModelsWhat Will This Chapter Tell Me?Hierarchical DataTheory Of Multilevel Linear ModelsThe Multilevel ModelSome Practical IssuesMultilevel Modelling Using SPSSGrowth ModelsHow To Report A Multilevel ModelA Message From The Octopus of Inescapable DespairEpilogue Nice EmailsEverybody Thinks I'm A StatisticianCraziness 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