Tony Veal, Research Methods in Leisure and Tourism, 4 th Edition © Pearson Education Limited 2011 Slide 14.1 PART III: DATA ANALYSIS

Tony Veal, Research Methods in Leisure and Tourism, 4 th Edition © Pearson Education Limited 2011 Slide 14.2 Structure 10. Questionnaires 9. Qualitative 13. Sampling 11. Experimental 8. Observation 7. Secondary data 16. Survey data 15. Qualitative 18. Research report 14. Secondary 4. Research ethics 3. Starting out 6. Reviewing literature 5. Range of methods 2. Approaches 1. Introduction PART I PREPARATION PART II DATA COLLECTION 12. Case studies PART III DATA ANALYSIS PART IV COMMUNICATE RESULTS 17. Statistical

Tony Veal, Research Methods in Leisure and Tourism, 4 th Edition © Pearson Education Limited 2011 Slide 14.3 Chapter 14: Analysing Secondary Data

Tony Veal, Research Methods in Leisure and Tourism, 4 th Edition © Pearson Education Limited 2011 Slide 14.4 Contents This chapter comprises 6 case studies dealing with: 11.6A. Children’s play safety International data on leisure/tourism inequality Estimating demand for a leisure facility Tourism trend analysis Facility utilisation Facility catchment or market area

Tony Veal, Research Methods in Leisure and Tourism, 4 th Edition © Pearson Education Limited 2011 Slide 14.5 Case study 11.6A Children’s play safety Secondary data: reports of accidents in school playgrounds in Toronto (collected routinely for insurance purposes) 86 playgrounds deemed unsafe and provided with new equipment = treatment group 225 playgrounds deemed safe: no action taken = control group Injuries per 1000 students for 10 months before and after the replacement of equipment Treatment group: Injury rates declined Control group: Injury rates actually increased

Tony Veal, Research Methods in Leisure and Tourism, 4 th Edition © Pearson Education Limited 2011 Slide 14.6 Case Study 14.1 International data on leisure/tourism inequality The Spirit Level Wilkinson & Pickett (2009): –Secondary data from UN, etc. –Countries with more equal income distribution perform better on a wide range of human welfare measures –Leisure not covered –Leisure/tourism data explored here –More details in Veal (2010): available at under ‘Other papers’

Tony Veal, Research Methods in Leisure and Tourism, 4 th Edition © Pearson Education Limited 2011 Slide 14.7 Fig. 14.1a Work-time/leisure time ratio & income inequality

Tony Veal, Research Methods in Leisure and Tourism, 4 th Edition © Pearson Education Limited 2011 Slide 14.8 Fig. 14.1a Sport participation and income inequality

Tony Veal, Research Methods in Leisure and Tourism, 4 th Edition © Pearson Education Limited 2011 Slide 14.9 Case Study 14.2 Estimating demand for a leisure facility C. Estimate total demand from local population A. Age-specific participation rates (National Survey) E. Capacity of existing facilities D. Typical facility capacity H. No. of new facilities to cater for unmet demand F. Compare G. Unmet demand B. Population by age- groups (Census)

Tony Veal, Research Methods in Leisure and Tourism, 4 th Edition © Pearson Education Limited 2011 Slide Estimating demand for a leisure facility (Continued) A & B. Secondary data: National survey + Census C. Estimated total demand: 6543 visits per week D. Typical facility capacity: 1500 visits/week E.Capacity of existing facilities: 3000 visit/week F.Comparison: 6543 and 3000 visits/week G.Unmet demand: 3500 visit/week H.No. of new facilities to cater for unmet demand: 3500/1500: Two facilities.

Tony Veal, Research Methods in Leisure and Tourism, 4 th Edition © Pearson Education Limited 2011 Slide Case Study 14.3 Tourism trend analysis Secondary data: quarterly tourist arrivals data from government agency Moving average: Table 14.5: average of last four quarters Trend: see Figure 14.3

Tony Veal, Research Methods in Leisure and Tourism, 4 th Edition © Pearson Education Limited 2011 Slide Tourism trend analysis (Continued)

Tony Veal, Research Methods in Leisure and Tourism, 4 th Edition © Pearson Education Limited 2011 Slide Case Study 14.4 Facility utilisation Secondary data: ticket/bookings data for different areas in a multi-purpose facility See Table 14.6 and Figure 14.4

Tony Veal, Research Methods in Leisure and Tourism, 4 th Edition © Pearson Education Limited 2011 Slide Facility utilisation (Continued)

Tony Veal, Research Methods in Leisure and Tourism, 4 th Edition © Pearson Education Limited 2011 Slide Case Study 14.5 Facility catchment area Secondary data: customer address data – from bookings or membership records See Figure 14.5

Tony Veal, Research Methods in Leisure and Tourism, 4 th Edition © Pearson Education Limited 2011 Slide Facility catchment area (Continued) Figure 14.5 Catchment/market area