Statistical testing with R (Statistics Without Mathematics)

Description

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 and case studies on the website