Statistics in Kinesiology-4th Edition / Edition 4

Statistics in Kinesiology-4th Edition / Edition 4

by William Vincent, Joseph Weir
     
 

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ISBN-10: 1450402542

ISBN-13: 9781450402545

Pub. Date: 04/02/2012

Publisher: Human Kinetics Publishers

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

Overview

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.

Product Details

ISBN-13:
9781450402545
Publisher:
Human Kinetics Publishers
Publication date:
04/02/2012
Edition description:
New Edition
Pages:
392
Product dimensions:
6.10(w) x 9.10(h) x 1.10(d)
Age Range:
18 Years

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

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