Sport Industry Research & Analysis offers a no-nonsense, straightforward approach to the study of research design and statistical analysis in the sport enterprise. Each chapter outlines real-world instances in which research and statistics contribute to bottom-line decisions. The book includes clear, progressive instructions, using spreadsheets for statistical computations and analyses. The explanations for the calculations and analyses are presented in the context of sport industry scenarios with sample data. Additional scenarios with sample data provide hands-on practice with each statistical test.
"In Practice" contributions from sport industry professionals demonstrate how these practitioners use research and statistical analysis in their everyday tasks.
This book's succinct, applied approach to research design and statistical analyses provides readers with essential skills to help them understand the importance of an information-based approach to decision making in the sport enterprise.
Part I - AN INFORMATION-BASED APPROACH TO FINDING ANSWERS
Chapter 1 Why Do I Need to Know About Research and Analysis and What Do They Have to Do with My Career in Sport Management?
Chapter 2 Reading and Understanding Existing Research and Analytics
Part II - INFORMATION PROCESSES: COLLECTING DATA
Chapter 3 When Information Is Necessary: Approaches to Information Gathering
Chapter 4 Descriptive Research Design and Method
Chapter 5 Historical and Philosophical Research Method and Design
Chapter 6 Qualitative Inquiry or Naturalistic Inquiry
Chapter 7 Delphi Study
Chapter 8 Experimental Design: Testing the Effects of a Variable
Chapter 9 Case Studies: Examining a Solitary Issue in Detail
Chapter 10 Feasibility and Profitability Studies: Determining the Possible
Chapter 11 Grants and Contracts: Funded Investigations
Part III - USING ANALYTICS TO INTERPRET INFORMATION
Chapter 12 Introduction to the Analytics Scenario and the Data Analysis Software
Chapter 13 Issues in Analyzing Data
Chapter 14 Descriptive Statistics
Chapter 15 Correlation
Chapter 16 Regression
Chapter 17 t Tests Chapter 18 Analysis of Variance (ANOVA)
Chapter 19 Chi-square Tests
Chapter 20 Protecting Participants and Research Data