• preparing data for analysis;
• one-way, factorial, and repeated-measures ANOVA;
• analysis of covariance and multiple analyses of variance and covariance;
• diagnostic tests;
• regression models for quantitative and qualitative data;
• model selection and validation;
• logistic regression

Drawing clear lines between the use of IBM SPSS Statistics software and interpreting and analyzing results, and illustrated with sport and exercise science-specific sample data and results sections throughout, the book offers an unparalleled level of detail in explaining advanced statistical techniques to kinesiology students. Advanced Statistics for Kinesiology and Exercise Science is an essential text for any student studying advanced statistics or research methods as part of an undergraduate or postgraduate degree programme in kinesiology, sport and exercise science, or health science.