Introduction to Statistics in Human Performance : Using SPSS and R book cover
2nd Edition

Introduction to Statistics in Human Performance
Using SPSS and R

ISBN 9780815381204
Published July 24, 2019 by Routledge
442 Pages 65 B/W Illustrations

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Book Description

An understanding and working knowledge of the basic principles of statistics are of central importance in understanding the sport and health sciences. Introduction to Statistics in Human Performance: Using SPSS and R provides students facing statistical problems for the first time with an accessible and informal introduction to the key concepts and procedures of statistical analysis.

Now in its second edition, the book covers processes involved in using both SPSS and R, and includes chapters on:

  • research methods
  • descriptive statistics
  • the normal curve and standard scores
  • correlation and regression
  • inferential statistics introduction
  • issues in inferential statistics
  • t-tests
  • anova, factorial anova and manova
  • advanced statistics, and
  • nonparametric statistics

Including examples relevant to the field, review questions, practice computer problems and activities throughout, and online materials including step-by-step video guides, data tables for importing into computer activities, a bank of possible test questions, and PowerPoint® slides, the book offers students all the tools they need to understand statistical concepts in sport and exercise. This is a vital resource for any students of sport and exercise science, kinesiology, physical therapy, athletic training, and fitness and health taking classes in statistics.

Table of Contents

1. Research Methods

2. Introduction to Measurement and Statistics

3. Descriptive Statistics

4. The Normal Curve and Standard Scores

5. Correlation and Regression

6. Introduction to Inferential Statistics

7. Two-Sample t-Test

8. Issues in Inferential Statistics

9. One-Way Between-Groups ANOVA

10. One-Way Within-Groups ANOVA

11. Factorial ANOVA

12. Multivariate ANOVA (MANOVA)

13. Advanced Statistics

14. Nonparametric Statistics

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Dale P. Mood is a Professor Emeritus at the University of Colorado, USA,

where he taught for 47 years in the Department of Integrative Physiology.

He is a former Department Chair, Associate Dean for Student Academic

Affairs, coordinator of the Responsible Conduct of Research program on the

Boulder campus and interim Director of the Post Baccalaureate Pre-Medical

program. He has authored fi ve textbooks, three book chapters, nearly 50

articles, and he has presented both nationally and internationally in the areas

of measurement and research.


James R. Morrow, Jr. is a Regents Professor Emeritus in the Department

of Kinesiology, Health Promotion, and Recreation at the University of North

Texas, USA. He has authored more than 200 peer-reviewed manuscripts

and five books, and he has made nearly 300 professional presentations. He

received the 2011 President’s Council on Fitness, Sports & Nutrition Honor

Award. His teaching and research focus on measurement issues related to

physical fi tness and activity assessment.


Matthew B. McQueen is the founding Director of the Public Health

Certifi cate Program and teaches introduction to epidemiology for

undergraduate students as well as advanced biostatistics for graduate students

at the University of Colorado Boulder. Dr. McQueen’s research objectives

are focused on the development and application of epidemiological and

biostatistical methods to advance our understanding of human disease

from genes to populations. His research program is highly interdisciplinary

involving studies of genetics and the microbiome, cardiometabolic disease,

substance abuse as well as neurological studies of Alzheimer’s disease and

mild traumatic brain injury.