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 Book specifications: Collection: Statistics Without Mathematics Dimensions: 229 x 152 Author: Davis Cover type: Paperback Publishing Year: 2022 Publishing Month: 6 Pages: 466 Language: English Publisher: VOR Press Weight: 617 g