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Statistics in Kinesiology

Statistics in Kinesiology

9781492560715
415,80 zł
395,01 zł Zniżka 20,79 zł Brutto
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Opis
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 books 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.
Szczegóły produktu
Human Kinetics
100704
9781492560715
9781492560715

Opis

Rok wydania
2020
Numer wydania
5
Oprawa
miękka foliowana
Liczba stron
312
Wymiary (mm)
216.00 x 279.00
Waga (g)
862
  • 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
    Friedmans 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
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