Sport Performance Analytic Methods
Human Kinetics (Verlag)
978-1-7182-1791-1 (ISBN)
In today’s sports world, decision makers, coaches, trainers, and athletes readily embrace sport performance analytics (SPA) and expect decisions to be based on such analyses. Organizations adept at collecting data, analyzing data, and applying findings enjoy a competitive advantage on the field-and a positive impact on the bottom line. For sport management students with a passion for sports and an aptitude for analytics, SPA presents an enticing career choice-one in high demand.
Sport Performance Analytic Methods With HKPropel Access not only introduces students to the field of sport performance analytics but also walks them through the entire SPA process. This unparalleled approach equips students to employ SPA tools and techniques to make informed decisions affecting organization performance and success.
The content of the book is driven by the SPA model, a seven-step process providing a guided pathway for conducting SPA analyses:
Establish what you want to know
Define the data you will collect
Determine the data collection process and collect data
Analyze the data
Interpret the results
Present the results
Make data-based decisions
The opening chapter emphasizes the importance of establishing the SPA objectives. The focus then shifts to understanding foundational data concepts, with discussions on quantitative and qualitative data, types and scale of variables, temporal aspects of data, process and product data, and validity and reliability of data. Methods and tools for collecting data are explored next, including technology-assisted data acquisition tools such as wearable devices and biometric sensing devices.
Students will then examine quantitative statistical concepts that can be used to analyze data and even help make predictions about future player or team performance. Key concepts include descriptive statistics, data sets, inferential statistics, group comparisons, and linear regressions.
The text also addresses techniques for collecting and analyzing qualitative data-including observation, content, narrative, discourse, thematic, and grounded theory analyses-ensuring that all forms of data are considered to produce successful outcomes.
Finally, the text demonstrates how to present SPA data in a format useful to apply in decision making. Students learn how coaches and performance data analysts use data to inform pre- and postcompetition strategic and tactical plans, make in-game decisions, evaluate team and individual performance, and make decisions for teams, players, and organizations.
Related online resources, delivered via HKPropel, provide students with hands-on learning tools. In addition to descriptions of the primary SPA software packages, included are nine learning modules that allow students to go through various statistical procedures step by step, checking results, and improving performance.
With Sport Performance Analytic Methods, students will gain a solid understanding of the principles made famous by Moneyball, and they will learn to use sport analytics to improve sport performance outcomes.
Note: A code for accessing HKPropel is included with all new print books.
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.
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
| Erscheinungsdatum | 08.05.2024 |
|---|---|
| Verlagsort | Champaign, IL |
| Sprache | englisch |
| Maße | 216 x 279 mm |
| Gewicht | 635 g |
| Themenwelt | Sachbuch/Ratgeber ► Sport |
| Wirtschaft | |
| ISBN-10 | 1-7182-1791-9 / 1718217919 |
| ISBN-13 | 978-1-7182-1791-1 / 9781718217911 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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