Overview

Features Worked examples from sociology 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

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9781915500182

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Reviews

It's not easy to write a text on complicated topics. A balance is needed to provide enough information for readers to have some understanding of the topics without overwhelming them to the point where they abandon ship. In my opinion you have found that balance. Well done. - Dr Garson Hunter, University of Regina, Saskatchewan, Canada I wish I'd had this book 20 years ago; it would have saved me from many headaches. The engaging style and clarity of expression make the whole business almost a pleasure. The sequence is logical. Best of all, occasional advice guides the reader reassuringly, setting the book apart from others. - Nick Warren, Educational researcher

Author Information

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.

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