- ホーム
- > 洋書
- > 英文書
- > Business / Economics
Full Description
Learn how to collect, analyze, and share sport management research.
The third edition of Research Methods and Design in Sport Management reflects the ever-evolving area of sport management research. With a strong emphasis on both qualitative and quantitative approaches, the book examines the entire research process and equips readers to produce high-quality, ethically sound, and impactful research tailored to the unique challenges of sport management.
The following are new to the third edition:
Four chapters on the latest theories in sport management as well as the most recent methodologies—conjoint analysis, machine learning, and systematic review and meta-analysis—in response to the growing interest in data-driven decision making and consumer behavior modeling
Updates to the visuals, including a full-color design and added photos
Discussion of the ethics surrounding the responsible use of artificial intelligence in conducting research
Significant updates throughout the text to modernize its approach, including enhanced coverage of data analysis methods and tools as well as updated examples from current sport industry contexts such as esports, sport ecology, and social media analytics
This new edition exposes readers to the latest developments in sport research and emphasizes the importance of theoretical grounding and advanced statistical techniques, making the book more relevant to both academic and applied audiences.
To ensure readers can effectively apply the research concepts presented, practical examples of past research by leading sport management scholars are incorporated throughout the text. At the conclusion of each chapter, a Research Methods and Design in Action feature links students to relevant articles excerpted from the Journal of Sport Management and Sport Management Education Journal to serve as supplemental learning scenarios.
Research Methods and Design in Sport Management, Third Edition, is a valuable tool for anyone looking to engage in the broad spectrum of research opportunities in sport management. With the help of this book, readers will ensure that they properly collect, analyze, and share research to inform strategic business decisions.
Contents
Part I. Introduction to Research in Sport Management
Chapter 1. Research Concepts in Sport Management
Research Defined
Sport Management Research Classifications
Research Traditions
The Evolution of Sport Management Research
Summary
Chapter 2. Ethical Issues in Research
Protection of Human Subjects
Ethical Principles and Guidelines
Institutional Review Board
Informed Consent
Scientific Dishonesty
Summary
Part II. The Research Process
Chapter 3. Creation of Research Questions
Problem Selection
Literature Review
Development of a Theoretical or Conceptual Framework
Focusing on Research Questions
Identification of Variables
Clarification of Hypotheses
Summary
Chapter 4. Research Design
Steps in Research Design
Sampling
Determination of Sample Size
Validity of a Study
Reliability of a Measurement
Summary
Chapter 5. Data Collection and Analysis
Response Rates
Preparation of Data for Analysis
Scales of Measurement
Descriptive Statistics
Inferential Statistics
Statistical Design
Drawing Conclusions
Summary
Chapter 6. Dissemination of Findings
Academic Conference Presentation
Academic Journal Selection
Manuscript Structure
Journal Publication Process
Evaluation of Journal Articles
Writing a White Paper
Summary
Part III. Research Design in Sport Management
Chapter 7. Surveys
Interviews
Questionnaires
Internet Surveys
Online Research Panels
Questionnaire Development and Design
Types of Error
Summary
Chapter 8. Interviews
Interview Techniques
Interview Process
Data Analysis
Artificial Intelligence
Summary
Chapter 9. Observation Research
Methodological Foundations
Observation Site
Observer Roles
Autoethnography in Sport Management
Online Observation in Sport Management
Data Collection
Field Notes
Data Analysis
Summary
Chapter 10. Case Study Research
Applied Research Advantages
Defining Sport Management Case Study Research
Research Versus Teaching Case Studies
Design and Implementation
Research Preparation
Data Collection
Data Analysis
Case Study Report
Summary
Chapter 11. Historical Research
Academic Perspective
Practical Applications
Research Prerequisites
Topic Selection
Source Material
Data Analysis
Historical Writing
Summary
Chapter 12. Legal Research
Qualities of Legal Research
Nature of the Law and Legal Research
Legal Research Techniques
Sources of Legal Information
Design and Implementation
Summary
Part IV. Statistical Methods in Sport Management
Chapter 13. Analyses of Structure
Importance of Reliability and Validity
Cronbach's Alpha
Exploratory Factor Analysis and Principal Component Analysis
Confirmatory Factor Analysis
Summary
Chapter 14. Relationships Between Variables
Bivariate Correlation
Simple Linear Regression
Multiple Regression
Mediation, Moderation, and Conditional Process Analysis
Path Analysis
Summary
Chapter 15. Significance of Group Differences
T-Test
One-Way ANOVA
One-Way ANCOVA
Factorial ANOVA
Factorial ANCOVA
One-Way MANOVA
One-Way MANCOVA
Factorial MANOVA
Factorial MANCOVA
Summary
Chapter 16. Prediction of Group Membership
Discriminant Analysis
Logistic Regression
Cluster Analysis
Summary
Part V. Emerging Trends and Research
Chapter 17. Theory in Sport Management
Using Theory
Theories in Sport Management
Summary
Chapter 18. Conjoint Analysis
Introduction to Conjoint Analysis
Application of Conjoint Analysis in Sport Management Research
Theoretical Framework
Types of Conjoint Methods
Designing a Conjoint Study
Summary
Chapter 19. Social Network Analysis in Sport
Background and History of Social Network Analysis
Social Network Analysis in Sport
Collecting Social Network Data
Analyzing Social Network Data
Strengths and Limitations of Social Network Analysis
Future Directions for Social Network Analysis in Sport
Summary
Chapter 20. Sport Analytics
Defining Sport Analytics and Its Process
Analytical Metrics in Sport
Team and Player Performance Metrics
Sport Business Metrics
Sport Analytics Process Examples
Summary
Chapter 21. Machine Learning
Overview of Machine Learning in Sport Management Research
Fundamentals of Machine Learning
Supervised Learning Techniques
Unsupervised Learning Techniques
Advanced Machine Learning Methods
Summary
Chapter 22. Systematic Review and Meta-Analysis
Brief History and Development of Systematic Review and Meta-Analysis
Systematic Review
Meta-Analysis
Reporting Guidelines
Software and Tools
Limitations
Summary
