Statistics in Kinesiology

William J.Vincent has taught measurement and evaluation courses, including statistics at university level for 35 years.

Chapter 1. Measurement, Statistics, and Research -What Is Measurement? -The 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 WordsChapter 3. Percentiles -Common Percentile Divisions -Calculations Using Percentiles -Summary -Problems to Solve -Key Words Chapter 4. Measures of Central Tendency -The Mode -The Median -The Mean -Relationships Among the Mode, Median, and Mean -Summary -Problems to Solve -Key WordsChapter 5. Measures of Variability -Range -Interquartile Range -Variance -Standard Deviation -Calculating Standard Deviation for a Sample -Summary -Problems to Solve -Key WordsChapter 6. The Normal Curve and Sampling Error -Z Scores -Standard Scores -Predicting Population Parameters Using Statistical Inference -Estimating Sampling Error -Levels of Confidence and Probability of Error -Calculating Skewness and Kurtosis -Summary -Problems to Solve -Key WordsChapter 7. Correlation, Bivariate Regression, and Multiple Regression -Correlation -Calculating the Correlation Coefficient -Bivariate Regression -Multiple Regression -Summary -Problems to Solve -Key WordsChapter 8. The t Test: Comparing Means From Two Sets of Data -t Tests-Assumptions for the t Test -Comparing Two Independent Samples (A Between Comparison) -Repeated Measures Design (A Within Comparison)-The Magnitude of the Difference (Size of Effect) -Type I and Type II Errors -Two- and One-Tailed Tests-Determining Power and Sample Size-The t Test for Proportions-Summary -Problems to Solve -Key WordsChapter 9. Simple Analysis of Variance: Comparing the Means Among Three or More Sets of Data -Assumptions in ANOVA -Sources of Variance -Calculating F-Determining the Significance of F -Post Hoc Tests-The Magnitude of the Treatment (Size of Effect)-Summary -Problems to Solve -Key WordsChapter 10. 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-Intraclass Reliability -Summary -Problems to Solve -Key WordsChapter 11. Factorial Analysis of Variance -A Between-Between Example-A Between-Within Example-A Within-Within Example-Summary -Key WordsChapter 12. Advanced Statistical Procedures -Analysis of Covariance-Multiple Analysis of Variance-Factor Analysis-Discriminant Analysis-Summary -Key WordsChapter 13. 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 WordsAppendix A. Statistical Tables Appendix B. Raw Data Appendix C. Answers to Problems Glossary References Index About the Author