Statistical testing with R: Second Edition in Bloomington, MN

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