Advanced Statistics for Kinesiology and Exercise Science is the first textbook to cover advanced statistical methods in the context of the study of human performance. Divided into three distinct sections, the book introduces and explores in depth both analysis of variance (ANOVA) and regressions analyses, including chapters on:

  • 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.

part I|55 pages

ANOVA analysis

chapter 1|2 pages

What’s stats got to do with it?

chapter 2|5 pages

Organizing the data

chapter 4|18 pages

Two- and three-way factorial ANOVA

chapter 5|15 pages

Mixed or between-within factorial ANOVA

chapter 6|9 pages

Analysis of covariance (ANCOVA)

part II|59 pages

Regression analysis

chapter 7|19 pages

Diagnostic tests for regression

chapter 8|12 pages

Basic multiple regression analysis

chapter 10|3 pages

Regression model validation

chapter 11|14 pages

Logistic regression

part III|17 pages

Special statistical procedures

chapter 12|15 pages

Multivariate analysis of variance (MANOVA)