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Multivariate Analysis of Variance (MANOVA)Ĭhapter 19. GLM 4: Repeated-Measures DesignsĬhapter 17. GLM 2: Comparing Means Adjusted For Other Predictors (Analysis of Covariance)Ĭhapter 15. GLM 1: Comparing Several Independent MeansĬhapter 13. Moderation, Mediation and Multicategory PredictorsĬhapter 12. The IBM SPSS Statistics EnvironmentĬhapter 11.
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Why is My Evil Lecturer Forcing Me to Learn Statistics?Ĭhapter 4. Free SAGE edge digital resources expand pedagogical support with SAGE video, case studies, datasets, and more to help students negotiate project work, master data management techniques, and apply key writing and employability skills. Updated throughout, this edition includes even clearer, more engaging presentations, completely redrawn figures, and new SPSS Statistics screen shots. The general linear model theme, now expanded, focuses on the commonalities between models traditionally labelled as regression, ANOVA, ANCOVA, t-tests etc. An exciting new character, Misconceptions Mutt, poses common misconceptions about statistics, only to have them dispelled by Correcting Cat.
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New sections on R demonstrate how to use the R plugin to get Bayes factors and shows students how to do robust tests using R. A new chapter on the open science movement discusses issues such as p-hacking, HARK-ing, researcher degrees of freedom, and pre-registration of research, and provides an introduction to Bayesian statistics. Full integration of IBM SPSS Statistics version 25 helps take students from introductory through very advanced statistical concepts. The Fifth Edition takes students from initial theory to regression, factor analysis, and multilevel modeling, fully incorporating IBM SPSS Statistics version 25 and fascinating examples throughout. With an exciting new look, math diagnostic tool, and a research roadmap to navigate projects, this new edition of Andy Field's award-winning text offers a unique combination of humour and step-by-step instruction to make learning statistics compelling and accessible to even the most anxious of students.