Research Methods for Arts and Event Management provides a compelling and comprehensive guide
to research methods for undergraduate and postgraduate students in arts and event management, as well as for managers in the arts/culture/events industries.
This book provides students and practising managers with the following:
• Essential skills in designing their own qualitative and quantitative research studies that can be implemented in a real working environment
• Guidance in designing, managing, and monitoring research work which students and practising managers may commission from consultants
• The necessary theoretical and practical basis to identify and implement appropriate methodologies to conduct research for academic dissertations and theses in the fields of arts, cultural and event management.
Furthermore, the book provides readers with multiple test questions, exercises and further resources, as well as a section on specialist terminology.
A. J. Veal is Adjunct Professor at the School of Leisure, Sport and Tourism, University of Technology, Sydney, Australia.
Christine Burton is an Associate Professor with the UTS Business School, University of Technology, Sydney. Her research focuses on audience development in the museum and arts sectors. Prior to becoming an academic, Christine worked as an arts consultant in Australia and the United Kingdom. Christine has worked on a number of research projects and consultancies including social impact of the arts, arts facilities development and public art planning and development.
Part 1 Introduction
1 Introduction to research: what, why and who?
2 Approaches to research in the arts and events
3 Starting out: research plans and proposals
4 Research ethics
5 The range of research methods
6 Reviewing the literature
Part 2 Data collection
7 Secondary data sources and measurement
8 Observation
9 Qualitative methods: introduction and data collection
10 Questionnaire surveys: typology, design and coding
11 Experimental research
12 The case study method
13 Sampling: quantitative and qualitative
Part 3 Data analysis
14 Analysing secondary data
15 Analysing qualitative data
16 Analysing quantitative data
17 Statistical analysis
Part 4 Communicating results
18 Research reports and presentations