Description
By (author) Field Andy
Short /annotation:
Everything a student needs to learn statistics starting from the basics and progressing onto sophisticated statistical modelling. A genuine one-off that uses humour, and the quirks of the everyday, to bring statistics to life and to make it accessible.
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With its unique combination of humour and step-by-step instruction, this award-winning book is the statistics lifesaver for everyone. From initial theory through to regression, factor analysis and multilevel modelling, Andy Field animates statistics and SPSS software with his famously bizarre examples and activities.
Features:
•Flexible coverage to support students across disciplines and degree programmes
•Can support classroom or lab learning and assessment
•Analysis of real data with opportunities to practice statistical skills
•Highlights common misconceptions and errors
•A revamped online resource that uses video, case studies, datasets, testbanks and more to help students negotiate project work, master data management techniques, and apply key writing and employability skills
•Covers the range of versions of IBM SPSS Statistics©.
All the online resources above (video, case studies, datasets, testbanks) can be easily integrated into your institution′s virtual learning environment or learning management system. This allows you to customize and curate content for use in module preparation, delivery and assessment.
Table of contents:
Chapter 1: Why is my evil lecturer forcing me to learn statistics?What the hell am I doing here? I don’t belong hereThe research processInitial observation: finding something that needs explainingGenerating and testing theories and hypothesesCollecting data: measurementCollecting data: research designReporting DataChapter 2: The SPINE of statisticsWhat is the SPINE of statistics?Statistical modelsPopulations and SamplesP is for parametersE is for Estimating parametersS is for standard errorI is for (confidence) IntervalN is for Null hypothesis significance testing, NHSTReporting significance testsChapter 3: The phoenix of statisticsProblems with NHSTNHST as part of wider problems with scienceA phoenix from the EMBERSSense, and how to use itPreregistering research and open scienceEffect sizesBayesian approachesReporting effect sizes and Bayes factorsChapter 4: The IBM SPSS Statistics environmentVersions of IBM SPSS StatisticsWindows, MacOS and LinuxGetting started The Data EditorEntering data into IBM SPSS StatisticsImporting DataThe SPSS ViewerExporting SPSS OutputThe Syntax EditorSaving filesOpening filesExtending IBM SPSS StatisticsChapter 5: Data VisualisationThe art of presenting dataThe SPSS Chart BuilderHistogramsBoxplots (box-whisker diagrams)Graphing means: bar charts and error barsLine chartsGraphing relationships: the scatterplotEditing graphsChapter 6: The beast of biasWhat is bias?OutliersOverview of assumptionsAdditivity and LinearityNormally distributed something or otherHomoscedasticity/Homogeneity of VarianceIndependenceSpotting outliersSpotting normalitySpotting linearity and heteroscedasticity/heterogeneity of varianceReducing BiasChapter 7: Non-parametric modelsWhen to use non-parametric testsGeneral procedure of non-parametric tests in SPSSComparing two independent conditions: the Wilcoxon 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 ANOVAChapter 8: CorrelationModelling relationshipsData entry for c
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