Statistics in kinesiology / Joseph P. Weir and William J. Vincent

Includes access instructions for a single-user web resource

Includes index.

Vincent was the first named author on the previous edition

Includes bibliographical references.

Certainly! Here's the list without paragraph spaces and with "--" added at the end of each entry:

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 --

This book emphasizes the practical use of statistics as a tool to help those in the movement sciences analyze quantitative data. It covers topics that are commonly seen in movement science disciplines, such as correlation and bivariate regression, tests, repeated measures analysis of variance, and the interpretation of interactions in factorial analyses of variance.