Statistical testing with R
SECOND EDITION

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Features


Worked examples from the behavioral and social sciences


Clearly written, without mathematical formulae


Well-structured, for beginners and intermediate readers


Assumes no knowledge of R or programming ('coding')


Comprehensive chapter on categorical analysis - not just 'Chi squared'


Effect sizes and confidence intervals


Clear explanation of factor analysis


Covers MANOVA, cluster analysis, logistic regression, survival analysis and partial correlations


Introduces Bayesian statistics


Reproduces a well-received short chapter on making presentations


Data sets, exercises and case studies on the website