![]() ![]() Reliability analysis using SPSS StatisticsĬhapter 19: Categorical outcomes: chi-square and loglinear analysisĪssociations between two categorical variablesĪssociations between several categorical variables: loglinear analysisĪssumptions when analysing categorical data Reporting results from discriminant analysis Reporting the results from factorial repeated-measures designsĬhapter 17: Multivariate analysis of variance (MANOVA)įollowing up MANOVA with discriminant analysis Interpreting factorial repeated-measures designsĮffect Sizes for factorial repeated-measures designs Reporting one-way repeated-measures designsĪ boozy example: a factorial repeated-measures designįactorial repeated-measures designs using SPSS Statistics Robust tests of one-way repeated-measures designsĮffect sizes for one-way repeated-measures designs Output for one-way repeated-measures designs One-way repeated-measures designs using SPSS The F-statistic for repeated-measures designs The ANOVA approach to repeated-measures designs Introduction to repeated-measures designs Independent factorial designs and the linear modelĬhapter 15: GLM 4: Repeated-measures designs ![]() Testing the assumption of homogeneity of regression slopes Reporting results from one-way independent ANOVAĬhapter 13: GLM 2: Comparing means adjusted for other predictors (analysis of covariance) Using a linear model to compare several meansĬomparing several means using SPSS Statistics Moderation: Interactions in the linear modelĬhapter 12: GLM 1: Comparing several independent means ![]() Interpreting a linear model with several predictorsĪn example: are invisible people mischievous?Ĭategorical predictors in the linear modelĬomparing two independent means using SPSS StatisticsĬomparing two related means using SPSS StatisticsĬhapter 11: Moderation, mediation and multicategory predictors Using SPSS Statistics to fit a linear model with several predictors The linear model with two of more predictors (multiple regression) Interpreting a linear model with one predictor Using SPSS Statistics to fit a linear model with one predictor ![]() General procedure of non-parametric tests in SPSSĬomparing two independent conditions: the Wilcoxon rank-sum test and Mann- Whitney testĬomparing two related conditions: the Wilcoxon signed-rank testĭifferences between several independent groups: the Kruskal-Wallis testĭifferences between several related groups: Friedman's ANOVAĪn Introduction to the linear model (regression)įitting linear models: the general procedure Spotting linearity and heteroscedasticity/heterogeneity of variance Graphing means: bar charts and error bars NHST as part of wider problems with scienceĬhapter 4: The IBM SPSS Statistics environment N is for Null hypothesis significance testing, NHST Generating and testing theories and hypotheses Initial observation: finding something that needs explaining What the hell am I doing here? I don't belong here Please note that ISBN: 9781526445780 comprises the paperback edition of the Fifth Edition and the student version of IBM SPSS Statistics.Ĭhapter 1: Why is my evil lecturer forcing me to learn statistics? This allows you to customize and curate content for use in module preparation, delivery and assessment. Now fully up to date with latest versions of IBM SPSS Statistics (c).Īll the online resources above (video, case studies, datasets, testbanks) can be easily integrated into your institution's virtual learning environment or learning management system. New sections on replication, open science and Bayesian thinking What's brand new:Ī radical new design with original illustrations and even more colourĪ maths diagnostic tool to help students establish what areas they need to revise and improve on.Ī 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 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. With an exciting new look, new characters to meet, and its unique combination of humour and step-by-step instruction, this award-winning book is the statistics lifesaver for everyone. ![]()
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