Research Methods for Tourism, Hospitality, Leisure and Events
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A comprehensive textbook for mastering research design and analysis in tourism, hospitality, leisure and events. Research Methods for Tourism, Hospitality, Leisure and Events is ideal for upper-level undergraduate and postgraduate students researching and writing their dissertations and final-year projects. Bridging foundational research theory with sector-specific application for hospitality, tourism and events settings, this textbook explores qualitative, quantitative and mixed-methods approaches, emphasizing their relevance to real-world contexts.
Students will learn how to design robust studies, collect and interpret data effectively and write persuasive, evidence-based reports or dissertations. This textbook includes:- Chapter summaries and learning outcomes to consolidate understanding- Reflective questions for self-assessment- Global real-world examples that demonstrate applied research in context- Glossary of key terms - Structured guidance on writing dissertations and final reportsWhether preparing for a dissertation, an independent project or a future career in tourism and hospitality, Research Methods for Tourism, Hospitality, Leisure and Events equips students with the methodological tools and analytical skills to produce credible, high-impact research.
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- Kogan Page
- 9781398622739
- 9781398622715
- ePub
- 1
- Emmet McLoughlin; Natasha Stait
- English
- 2026-02-03
- 100
- 10
- 10
Kaflar
- Cover
- Endorsements
- Titlepage
- Contents
- List of Figures
- List of Tables
- About the authors
- Walkthrough of textbook features and online resources
- 01 Introduction to research in tourism, hospitality, leisure and events
- Research in tourism, hospitality, leisure and events and its significance
- Differences between qualitative and quantitative research
- Recommended reading
- References
- 02 Research ethics and integrity
- Introduction
- What are research ethics?
- Ethical considerations in tourism, hospitality, and events management research
- Acknowledging vulnerability
- Remaining confidential in research ethics
- How to maintain confidentiality in research studies
- Data Protection Act (2018)
- General Data Protection Regulation (GDPR)
- Unethical behaviour in tourism, hospitality, leisure and events management research
- Ethics committees and reviews
- Conclusion
- Recommended reading
- References
- 03 Artificial intelligence (AI) in research methods
- Introduction: why AI matters in your research
- Types of AI and machine learning techniques for research methods
- AI applications in tourism, hospitality and events research
- Research methodology and AI tools
- The drawbacks of using AI in research methods and academia
- Practical guide for tourism, hospitality and events students
- Conclusion
- Recommended reading
- References
- 04 Developing research problems, questions and hypotheses
- Introduction
- Conclusion
- Recommended reading
- References
- 05 Research design
- Introduction
- Types of research design
- Choosing the appropriate research design for your study
- Conclusion
- Recommended reading
- References
- 06 Sampling techniques
- Introduction
- Sampling vs census
- Population and sample selection
- Probability and non-probability sampling
- Sampling techniques
- Factors influencing the choice of sampling methods
- Types of sampling bias
- Minimizing bias
- Conclusion
- Recommended reading
- References
- 07 Qualitative research methods
- Introduction to qualitative research
- Importance of qualitative research
- Philosophical foundations
- Qualitative research designs
- Data collection in qualitative research
- The importance of quality and rigour in qualitative research
- Challenges and limitations in qualitative research
- Conclusion
- Recommended reading
- References
- 08 Quantitative research methods
- Introduction
- Overview of quantitative methods
- Survey research in quantitative studies
- Experimental research
- Introduction to data collection tools and statistical analysis
- Ensuring quality: validity and reliability
- Introduction to statistical thinking in quantitative research
- Applications in tourism, hospitality, leisure and events studies
- Conclusion
- Recommended reading
- References
- 09 Mixed methods research
- Introduction
- Philosophical foundations of mixed methods (pragmatism and paradigms)
- Advantages of mixed methods in THLE
- Applications in THLE: sector examples
- When and why to use mixed methods
- Designing a mixed-methods study: timing, priority, and typologies
- Integrating data: strategies and joint displays
- Validity, reliability, and generalizability in mixed-methods research
- Reflexivity and researcher positionality
- Ethical and logistical considerations of mixed-methods research
- Conclusion
- Recommended reading
- References
- 10 Data analysis in quantitative research
- Overview
- Descriptive and inferential statistics
- Understanding statistical assumptions and the limits of significance
- Using SPSS for quantitative analysis
- Interpreting quantitative data
- Ethical and transparent interpretation
- Conclusion
- Recommended reading
- References
- 11 Data analysis in qualitative research
- Introduction
- The importance of qualitative data analysis
- Preparing for data analysis
- Dialectic thematic analysis in tourism research
- Data interpretation
- Leximancer analysis (step by step)
- Conclusion
- Recommended reading
- References
- 12 Presenting research findings
- Introduction
- Preparing for oral presentations
- Creating visual aids (charts, graphs, tables)
- The role of visual aids in research communication
- Engaging your audience
- Conclusion
- Recommended reading
- References
- 13 Writing a report/dissertation
- Introduction
- Understanding the assignment
- The importance of learning outcomes
- Common types of research projects in THLE
- Supervisors’ expectations and communication within a dissertation
- Choosing and refining your research topic
- Brainstorming techniques
- Feasibility and scope
- Relevance to your field of study
- Planning and managing your dissertation
- Academic writing style and formal tone
- Writing a report
- Structuring a report
- Recommended reading
- References
- Index
- Copyright