Features
Worked examples from health settings
Clearly written, without mathematical formulae
Well-structured, for beginners and intermediate readers
Comprehensive chapter on categorical analysis
- not just 'Chi squared'
Effect sizes and confidence intervals
Clear explanation of factor analysis
Covers MANOVA and logistic regression
Covers partial correlations, survival analysis and cluster analysis
Introduces Bayesian statistics
Reproduces a well-received short chapter on making presentations
Data sets 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 health, 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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