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Statistics in Kinesiology 5th Edition With Web Resource

Statistics in Kinesiology 5th Edition With Web Resource

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£56.99

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    Book

    Statistics in Kinesiology, Fifth Edition With Web Resource, 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.

    As in previous editions, 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 fifth edition also incorporates fully updated content reflecting the changing face of kinesiology:
    • Comparisons of observational versus experimental research and nonparametric versus parametric methods of analyzing categorical and ordinal data
    • More detailed coverage on how to calculate central tendency when data have been transformed (e.g., log transformations) as well as multiple ways to interpret the correlation coefficient
    • Expanded coverage of statistical graphs, including dot plots and spaghetti plots
    • A discussion of the real meaning of p values and confidence intervals
    • An introduction to frequentist approaches versus Bayesian methods
    In addition, a new web resource offers abridged presentations of complex statistical concepts and an interactive platform to practice problem solving. Mini lectures, consisting of narrated slideshows, provide further explanations and may be quickly accessed through QR codes placed at the end of each chapter. Sample problems then provide an opportunity for students to put the concepts into practice.

    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.

    With Statistics in Kinesiology, Fifth Edition, students will gain a solid understanding of the statistical techniques used in physical activity fields. The book’s practical approach, based on the authors’ more than 50 years of combined experience in teaching statistics, will make it easy for students to learn these important, but often intimidating, concepts.

    Audience

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

    Table of Contents

    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 Among the Mode, Median, and 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
    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
    Summary

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

    Chapter 9. Multiple Correlation and Multiple Regression
    Multiple Correlation
    Partial 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 Among 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
    Interpreting the Results
    An Example From Leisure Studies and Recreation
    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
    Summary

    Chapter 17. Clinical Measures of Association
    Relative Risk
    Odds Ratio
    Diagnostic Testing
    Summary

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

    Appendix: Statistical Tables

    About the Author

    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 doctorate program at Des Moines University in Iowa. He earned his doctorate in exercise physiology from the University of Nebraska at Lincoln.

    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.

    Weir is a senior associate editor of the Journal of Strength and Conditioning Research, and he is a member of the editorial board of Medicine and Science in Sports and Exercise. He is the author of numerous research articles, which have appeared in European Journal of Applied Physiology, Physiological Measurement, American Journal of Physiology, and Journal of Orthopaedic and Sports Physical Therapy. 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.

    Weir is originally from Glennallen, Alaska. He and his wife, Loree, live in Lawrence, Kansas, and have three adult children. He is an avid motorcyclist and a fan of University of Nebraska football, University of Kansas basketball, and Boston Bruins hockey.

    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 a professor emeritus 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.

    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.

    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.

    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.

    Ancillaries

    All ancillaries are free to course adopters and available at www.HumanKinetics.com/StatisticsInKinesiology.

    Instructor guide. Includes an introduction and additional lecture aids, tips, and suggested student assignments for each chapter of the book that instructors can use in the classroom. The instructor guide also includes answer keys to the problem sets presented in the web resource.

    Test package. Contains 282 questions in true-false and multiple-choice formats.

    Presentation package plus image bank. Includes 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 for distribution to students. Instructors can easily add, modify, and rearrange the order of the slides.

    The companion image bank includes 210 equations as well as 146 tables and figures from the text that may be used for class discussion and demonstration. All items are organized by chapter for ease of reference.

    The presentation package plus image bank is also available for purchase • ISBN 978-1-4925-9392-8

    Web resource. Includes problem sets and mini video lectures to further facilitate learning. QR codes in the book direct students to these materials in a quick and easy manner.

    The web resource is also available for purchase separately • ISBN 978-1-4925-9391-1