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Statistics in Kinesiology 4th Edition PDF

Statistics in Kinesiology 4th Edition PDF

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    The only statistics text currently available specifically for kinesiology majors, Statistics in Kinesiology, Fourth Edition, provides an accessible introduction to statistics concepts and techniques and their applications to kinesiology-related fields. Students will learn to use statistical tools to analyze quantitative data and then apply that knowledge to common questions and problems they will encounter as they continue their studies.

    The fourth edition has been fully updated with new content that reflects the changing face of the kinesiology discipline, including the following:

    • A new chapter on clinical measures, including information on relative risk, odds ratios, and diagnostic testing, that will be especially pertinent to students in athletic training, physical therapy, and other fields dealing with clinical or rehabilitation populations

    • More detailed coverage of analysis of covariance (ANCOVA), which is becoming the technique of choice for analyzing pretest–posttest control group design

    • New material on statistical inference and correlations, including information on hypothesis testing, types of error, confidence intervals, and partial correlations

    • Additional information on the quantification of reliability and its applications in kinesiology

    Statistics in Kinesiology, Fourth Edition, begins with a thorough introduction to basic concepts such as measurement and research; organizing and displaying data; percentiles; mode, median, and mean; and measures of variability. The text then explores more advanced topics, including correlation and regression, t tests, analysis of variance (ANOVA), and analysis of nonparametric data. While the book offers an overview of the most important statistical concepts and techniques, the emphasis remains on those commonly used concepts in kinesiology disciplines, such as repeated measures ANOVA and the interpretation of interactions in factorial ANOVAs.

    The fourth edition features extensive problem sets that will help students begin to calculate and interpret data. To enhance learning, students are encouraged to practice the calculations manually, but knowledge of advanced mathematics is not required. The examples given involve only basic algebra skills. Information on computer-based application is also provided throughout the book. In becoming familiar with the mathematical formulas used by software programs, students will learn to critically evaluate computer results and interpret data with greater confidence and ease.In updating this text, the authors have been careful to retain the features that have made past editions such a success. Examples drawn from exercise physiology, biomechanics, physical education, and physical therapy help students relate to how the techniques are used and how those techniques allow them to answer questions in their chosen fields. The problem sets are designed to help students interact more fully with the content, thereby aiding in their comprehension of concepts and techniques. Answers for each of the problem sets are located in the back of the text and give students the opportunity to check their work as they progress. Chapter summaries and key words lists identify content that students should carefully review.

    With Statistics in Kinesiology, Fourth 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.

    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

    Problems to Solve

    Key Words

    Chapter 2. Organizing and Displaying Data

    Organizing Data

    Displaying Data

    Summary

    Problems to Solve

    Key Words

    Chapter 3. Percentiles

    Common Percentile Divisions

    Calculations Using Percentiles

    Summary

    Problems to Solve

    Key Words

    Chapter 4. Measures of Central Tendency

    Mode

    Median

    Mean

    Relationships Among the Mode, Median, and Mean

    Summary

    Problems to Solve

    Key Words

    Chapter 5. Measures of Variability

    Range

    Interquartile Range

    Variance

    Standard Deviation

    Calculating Standard Deviation for a Sample

    Coefficient of Variation

    Standard Deviation and Normal Distribution

    Summary

    Problems to Solve

    Key Words

    Chapter 6. The Normal Curve

    Z Scores

    Standard Scores

    Probability and Odds

    Calculating Skewness and Kurtosis

    Summary

    Problems to Solve

    Key Words

    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

    Problems to Solve

    Key Words

    Chapter 8. Correlation and Bivariate Regression

    Correlation

    Calculating the Correlation Coefficient

    Bivariate Regression

    Homoscedasticity

    Summary

    Problems to Solve

    Key Words

    Chapter 9. Multiple Correlation and Multiple Regression

    Multiple Correlation

    Partial Correlation

    Multiple Regression

    Problems to Solve

    Key Terms

    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

    Problems to Solve

    Key Words

    Chapter 11. Simple Analysis of Variance: Comparing Means Among Three or More Sets of Data

    Assumptions in ANOVA

    Sources of Variance

    Calculating F

    Determining the Significance of F

    Post Hoc Tests

    Magnitude of the Treatment (Size of Effect)

    Summary

    Problems to Solve

    Key Words

    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

    Summary

    Problems to Solve

    Key Words

    Chapter 13. Quantifying Reliability

    Intraclass Correlation Coefficient

    Standard Error of Measurement

    Summary

    Problems to Solve

    Key Words

    Chapter 14. Factorial Analysis of Variance

    A Between–Between Example

    A Between–Within Example

    A Within–Within Example

    Summary

    Problems to Solve

    Key Words

    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

    Problems to Solve

    Key Words

    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

    Problems to Solve

    Key Words

    Chapter 17. Clinical Measures of Association

    Relative Risk

    Odds Ratio

    Diagnostic Testing

    Summary

    Problems to Solve

    Key Words

    Chapter 18. Advanced Statistical Procedures

    Meta-Analysis

    Multiple Analysis of Variance

    Factor Analysis

    Discriminant Analysis

    Summary

    Problems to Solve

    Key Words

    About the Author

    William J. Vincent, EdD, is currently an adjunct professor and is the former director of the general education wellness program in the department of exercise sciences at Brigham Young University in Provo, Utah. He is professor emeritus and former chair of the department of kinesiology at California State University at Northridge. He was employed at CSUN for 39 years and taught statistics and measurement theory for 35 of those years. In 1995 he received the University Distinguished Teaching Award.

    Dr. Vincent has been a member of the American Alliance for Health, Physical Education, Recreation and Dance 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 4 books and more than 70 professional articles. Fifty-one of those articles appeared in refereed journals, including Research Quarterly for Exercise and Sport, the International Journal of Sports Medicine, and the 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 and his wife, Diana, live in Lindon, Utah, and have 6 children and 20 grandchildren. In his free time, Dr. Vincent enjoys camping, snow skiing and water skiing, conducting genealogical research, and reading.

    Joseph P. Weir, PhD, is a professor in the doctor of physical therapy 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 is the 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 journals including European Journal of Applied Physiology, Physiological Measurement, American Journal of Physiology, and the 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.

    Dr. Weir is originally from Glennallen, Alaska. He and his wife, Loree, live near Des Moines, Iowa, and have three children. Dr. Weir is an avid motorcyclist and fan of University of Nebraska football.

    Reviews

    "This is an excellent book for those who desire to know more about the practical aspects of statistics in exercise science and allied health professions. The information is introductory and very practical, which makes the book easy to read and enhances comprehension."

    -- Doody's Book Review (4-star review)

    Ancillaries

    All ancillary materials for this text are FREE to course adopters and available online at www.HumanKinetics.com/StatisticsInKinesiology.

    Instructor guide
    Includes an introduction and additional datasets, questions, and solutions for each chapter of the book that instructors can use in the classroom.

    Image bank
    Includes 137 equations, as well as 139 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 image bank is also available for purchase • ISBN 978-1-4504-42503