Statistics in Kinesiology 6th Edition

Statistics in Kinesiology, Sixth Edition, offers students in kinesiology and exercise science programs a unique introduction to the statistics concepts and techniques relevant to their specific field of study. Drawing from examples across kinesiology—including exercise physiology, biomechanics, physical education, and physical therapy—this essential text provides students with a statistical skill set that will enable them to analyze quantitative data and find answers to questions they will encounter in their specific disciplines.

Emphasis is placed on methods commonly seen in kinesiology, such as correlation and bivariate regression, t tests, analysis of variance (ANOVA), and the interpretation of interactions in factorial analyses of variance. The sixth edition incorporates fully updated content throughout the text, including the following:

• A new chapter on statistical issues in kinesiology that provides students with a wider understanding of problems they may face in their calculations
• Additional content on key topics such as logistic regression, analysis of ROC curves, equivalence testing, range restriction, and bootstrapping
• Major updates to chapters on the fundamentals of statistical interference, multiple correlation and multiple regression, and clinical measures of association

Statistical software tools commonly used in kinesiology applications—such as JASP and G*Power—are briefly introduced, encouraging students to apply their knowledge of statistical procedures to generate and interpret computer results with confidence and ease. Throughout the text, sample problems provide an opportunity for students to put the concepts into practice.

With Statistics in Kinesiology, Sixth Edition, students will gain a solid understanding of the statistical techniques used in physical activity fields. The book’s practical approach will make it easy for students to learn these important, but often intimidating, concepts.

Audience

Textbook for undergraduate courses in statistics or measurement in kinesiology and exercise science programs; a reference for professionals in movement sciences.

Preface
Acknowledgments
List of Key Symbols

Chapter 1. Measurement, Statistics, and Research
What Is Measurement?
Process of Measurement
Variables and Constants
Research Design and Statistical Analysis
Statistical Inference
Summary

Chapter 2. Organizing and Displaying Data
Organizing Data
Displaying Data
Summary

Chapter 3. Percentiles
Common Percentile Divisions
Calculations Using Percentiles
Summary

Chapter 4. Measures of Central Tendency
Mode
Median
Mean
Relationships Between the Mode, Median, and Mean
Logarithmic Transformations and the Geometric Mean
Summary

Chapter 5. Measures of Variability
Range
Interquartile Range
Variance
Standard Deviation
Definition Method of Hand Calculations
Calculating Standard Deviation for a Sample
Coefficient of Variation
Standard Deviation and Normal Distribution
Graphical Depiction of the Standard Deviation
Summary

Chapter 6. The Normal Curve
Z Scores
Standard Scores
Probability and Odds
Calculating Skewness and Kurtosis
Summary

Chapter 7. Fundamentals of Statistical Inference
Predicting Population Parameters Using Statistical Inference
Estimating Sampling Error
Levels of Confidence, Confidence Intervals, and Probability of Error
An Example Using Statistical Inference
Statistical Hypothesis Testing
Type I and Type II Error
Degrees of Freedom
Living With Uncertainty
Two- and One-Tailed Tests
Applying Confidence Intervals
Frequentist Versus Bayesian Inference
Equivalence Testing
Summary

Chapter 8. Correlation and Bivariate Regression
Correlation
Calculating the Correlation Coefficient
Bivariate Regression
Homoscedasticity
Range Restriction
Summary

Chapter 9. Multiple Correlation and Multiple Regression
Multiple Correlation
Semipartial Correlation
Multiple Regression
Summary

Chapter 10. The t Test: Comparing Means From Two Sets of Data
The t Tests
Types of t Tests
Magnitude of the Difference (Size of Effect)
Determining Power and Sample Size
The t Test for Proportions
Summary

Chapter 11. Simple Analysis of Variance: Comparing the Means of Three or More Sets of Data
Assumptions in ANOVA
Sources of Variance
Calculating F: The Definition Method
Determining the Significance of F
Post Hoc Tests
Magnitude of the Treatment (Size of Effect)
Summary

Chapter 12. Analysis of Variance With Repeated Measures
Assumptions in Repeated Measures ANOVA
Calculating Repeated Measures ANOVA
Correcting for Violations of the Assumption of Sphericity
Post Hoc Tests
Confidence Intervals and Effect Sizes
Interpreting the Results
Summary

Chapter 13. Quantifying Reliability
Intraclass Correlation Coefficient
Standard Error of Measurement
Summary

Chapter 14. Factorial Analysis of Variance
A Between–Between Example
A Between–Within Example
A Within–Within Example
Summary

Chapter 15. Analysis of Covariance
Relationship Between ANOVA and Regression
ANCOVA and Statistical Power
Assumptions in ANCOVA
The Pretest–Posttest Control Group Design
Pairwise Comparisons
Summary

Chapter 16. Analysis of Nonparametric Data
Chi-Square (Single Classification)
Chi-Square (Two or More Classifications)
Rank Order Correlation
Mann-Whitney U Test
Kruskal-Wallis ANOVA for Ranked Data
Friedman’s Two-Way ANOVA by Ranks
Cliff’s Delta
Bootstrap
Summary

Chapter 17. Clinical Measures of Association
Relative Risk
Odds Ratio
Diagnostic Testing
Logistic Regression
Receiver Operator Characteristic (ROC) Curves
Summary

Chapter 18. Advanced Statistical Procedures
Multilevel Modeling
Meta-Analysis
Multiple Analysis of Variance
Factor Analysis
Discriminant Analysis
Summary

Chapter 19. Statistical Issues in Kinesiology
Regression to the Mean
Differences in Nominal Significance (DINS) Error
Issue With Ratios
Post Hoc Power Analyses
Outliers
Responders Versus Nonresponders
Summary

Appendix. Statistical Tables
Glossary
References
Index
About the Authors

Joseph P. Weir, PhD, is the chair of the department of health, sport, and exercise sciences at the University of Kansas. From 1995 to 2012 he was a professor in the physical therapy doctoral program at Des Moines University in Iowa. He earned his doctorate in exercise physiology from the University of Nebraska at Lincoln.

Dr. Weir is a fellow of both the American College of Sports Medicine (ACSM) and the National Strength and Conditioning Association (NSCA). He was given the NSCA President’s Award in 2007 and its William J. Kraemer Outstanding Sport Scientist Award in 2006. He served as president of the National Strength and Conditioning Association Foundation from 2006 to 2009, and he was cochair of the ACSM’s Biostatistics Interest Group from 2001 to 2003.

Dr. Weir’s research interests primarily focus on muscle fatigue and muscle strength. He is a senior associate editor of Journal of Strength and Conditioning Research and serves on the editorial board of Medicine and Science in Sports and Exercise. He is coauthor of Physical Fitness Laboratories on a Budget, and he has contributed chapters to seven texts, including NSCA’s Essentials of Personal Training.

Anthony B. Ciccone, PhD, is an associate professor in the department of exercise science and outdoor recreation at Utah Valley University. He earned his doctorate in exercise physiology from the University of Kansas. Dr. Ciccone is an active member of the National Strength and Conditioning Association (NSCA) and has served on the NSCA Foundation’s scholarship committee.

Dr. Ciccone mentors undergraduate research projects addressing neuromuscular fatigue and sport performance. His work has been published in numerous peer-reviewed journals, including Muscle & Nerve and Journal of Strength and Conditioning Research. He is a contributing author of Conditioning for Strength and Human Performance.

Jacob A. Siedlik, PhD, is an associate professor in the department of biology at the University of West Florida and is a research scientist at the Florida Institute for Human and Machine Cognition. Dr. Siedlik previously was an associate professor in the exercise science and pre-health professions program at Creighton University, where he also served as the associate director of the health informatics graduate program. He earned his doctorate in exercise physiology at the University of Kansas.

Dr. Siedlik is a member of the American College of Sports Medicine and the American Medical Informatics Association. He is the author of more than 30 articles in peer-reviewed journals, and his research interests are focused on leveraging data-driven approaches to advance population health. Dr. Siedlik serves as a reviewer for Journal of Strength and Conditioning Research and International Journal of Environmental Research and Public Health.

William J. Vincent, EdD, is a retired adjunct professor and former director of the general education wellness program in the department of exercise sciences at Brigham Young University in Provo, Utah. He is an emeritus professor and the former chair of the department of kinesiology at California State University at Northridge (CSUN). He was employed at CSUN for 40 years and taught statistics and measurement theory for 35 of those years. In 1995 he received the university’s Distinguished Teaching Award.

Dr. Vincent has been a member of the American Alliance for Health, Physical Education, Recreation and Dance (AAHPERD), now SHAPE America, since 1964. In 2007, he received the AAHPERD National Honor Award for distinguished service to the profession. He has served as the president of the Southwest District of AAHPERD and was a member of the AAHPERD board of governors from 1993 to 1995. In 1988 he was named the Southwest District Scholar and delivered the keynote address, titled “From Means to MANOVA,” at the 1989 convention.

Dr. Vincent is the author or coauthor of four books and more than 70 professional articles. Fifty-one of those articles appeared in refereed journals, including Research Quarterly for Exercise and Sport, International Journal of Sports Medicine, and Journal of Athletic Training. He has a bachelor’s degree in physical education (pedagogy), a master’s degree in physical education (exercise physiology), and a doctorate in educational psychology (perception and learning), all from the University of California at Los Angeles.

Dr. Vincent lives in Lindon, Utah. He and his late wife, Diana, raised six children, and he has 24 grandchildren and nine great-grandchildren. In his free time, he enjoys camping, snow skiing and water skiing, conducting genealogical research, and reading.

All ancillaries are free to adopting instructors through HKPropel.

Instructor guide. Includes an introduction and additional lecture aids, tips, key terms, and suggested student assignments for each book chapter that instructors can use in the classroom or deliver through their learning management system. Mini lectures, consisting of narrated slideshows, and brief videos explaining complex statistical concepts provide further explanations and can be shared with students. The instructor guide also includes answer keys to the problem sets presented in book.

Test package. Contains 282 questions in true-false, fill-in-the-blank, essay and short-answer, and multiple-choice format. The files may be downloaded for integration with a learning management system or printed for use as paper-based tests. Instructors may also create their own customized quizzes or tests from the test bank questions.

Chapter quizzes. Contains ready-made quizzes (9-10 questions each) to assess student comprehension of the most important concepts in each chapter.

Presentation package. Features PowerPoint slides of text, artwork, and tables from the book that can be used for class discussion and presentation. The slides in the presentation package can be used directly within PowerPoint or printed to make handouts for students. Instructors can easily add, modify, and rearrange the order of the slides.

Image bank. Includes most of the figures, content photos, and tables from the text, sorted by chapter. These can be used in developing a customized presentation based on specific course requirements.