Statistical testing with R: SECOND EDITION

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

The General Editor of the Statistics without Mathematics series at Vor Press is a researcher and data analyst with experience in government, business and the third sector, who is also well-known as an internationally published author of books on statistical testing.