Sport Performance Analytic Methods - John R. Todorovich

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Résumé :
Modern sports rely on data-driven insights to shape strategy, coaching, and training. Employing a seven-step model from defining objectives to data presentation, this resource guides students through collecting and interpreting both quantitative and qualitative data to enhance team and individual performance....

Biographie:
John R. Todorovich, PhD, has worked for nearly three decades in both K-12 and higher education within the sport sciences. As a professor at the University of Wyoming, University of Florida, and most recently at the University of West Florida, Todorovich has a wealth of experience in teaching both undergraduate and graduate students. He worked for 10 years as the chair of what is now the department of movement sciences and health. In this capacity, Todorovich spent significant time developing curricula, individual courses, and programs to meet the current and changing needs of the students. Currently, Todorovich is a professor and the coordinator of the fitness and sport coaching program at the University of West Florida....

Sommaire:
Chapter 1. Introduction to Sport Performance Analytics
Historical Foundations of Sport Performance Analytics
Steps in the SPA Process
Scope of Sport Performance Analytics
Limitations of Sport Performance Analytics

Chapter 2. Understanding Data
Data Categories
Variables
Unit of Analysis
Depth of Data
Validity and Reliability of Data

Chapter 3. Data Collection
Measurement Tools
Collecting Qualitative Data
Instrument Quality
Process Approval
Organizing and Preparing Data
Data Entry

Chapter 4. Descriptive Statistics
Frequency Distributions
Normal Distribution
Measures of Central Tendency
Data Variation

Chapter 5. Inferential Statistics for Group Comparisons
Concepts of Hypothesis Testing
Parametric and Non-Parametric Statistics
Correlation Coefficient
t-Test
Analysis of Variance (ANOVA)
Multiple Analysis of Variance (MANOVA)
Analysis of Covariance (ANCOVA)

Chapter 6. Predictive Statistics
Simple Linear Regression
Multiple Linear Regression
Logistic Regression

Chapter 7. Qualitative Data Analysis
Framework and Systematic Observation Analysis
Content Analysis
Narrative Analysis
Discourse Analysis
Thematic Analysis
Grounded Theory

Chapter 8. Data Presentation
Data Reduction
Presentation Styles
Dynamic Data Presentation
Augmented and Static Data Presentation
Group and Individual Data Presentation

Chapter 9. Data-Based Decision Making
Technical Performance Decisions
Physiology-Based Decisions
Safety-Based Decisions
Strategic and Tactical Decisions
Dynamic Tactical Decisions
Prediction-Based Decisions
Organizational Strategic Data-Based Decisions...