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
"synopsis" may belong to another edition of this title.
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.
"About this title" may belong to another edition of this title.
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