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PART III: DATA ANALYSIS

PART III: DATA ANALYSIS. Structure. PART I PREPARATION. PART II DATA COLLECTION. PART III DATA ANALYSIS. 1. Introduction. 7. Secondary data. 14. Secondary. 2. Approaches. 8. Observation. 3. Starting out. 9. Qualitative. 15. Qualitative. 4. Research ethics. 10. Questionnaires.

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PART III: DATA ANALYSIS

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  1. PART III: DATA ANALYSIS

  2. Structure PART I PREPARATION PART IIDATA COLLECTION PART IIIDATA ANALYSIS 1. Introduction 7. Secondary data 14. Secondary 2. Approaches 8. Observation 3. Starting out 9. Qualitative 15. Qualitative 4. Research ethics 10. Questionnaires 16. Survey data 5. Range of methods 11. Experimental 17. Statistical PART IV COMMUNICATE RESULTS 6. Reviewing literature 12. Case studies 13. Sampling 18. Research report

  3. Chapter 14: Analysing Secondary Data

  4. Contents • This chapter comprises 6 case studies dealing with: • 11.6A. Children’s play safety • 14.1. International data on leisure/tourism inequality • 14.2. Estimating demand for a leisure facility • 14.3. Tourism trend analysis • 14.4. Facility utilisation • 14.5. Facility catchment or market area

  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

  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 www.leisuresource.net under ‘Other papers’

  7. Fig. 14.1a Work-time/leisure time ratio & income inequality

  8. Fig. 14.1a Sport participation and income inequality

  9. Case Study 14.2 Estimating demand for a leisure facility D. Typical facility capacity H. No. of new facilities to cater for unmet demand E. Capacity of existing facilities A. Age-specific participation rates (National Survey) G. Unmet demand F. Compare C. Estimate total demand from local population B. Population by age-groups (Census)

  10. 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 • Capacity of existing facilities: 3000 visit/week • Comparison: 6543 and 3000 visits/week • Unmet demand: 3500 visit/week • No. of new facilities to cater for unmet demand: 3500/1500: 2.33. Two facilities.

  11. 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

  12. Tourism trend analysis (Continued)

  13. 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

  14. Facility utilisation (Continued)

  15. Case Study 14.5 Facility catchment area • Secondary data: customer address data – from bookings or membership records • See Figure 14.5

  16. Facility catchment area (Continued) Figure 14.5 Catchment/market area

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