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PART III: DATA ANALYSIS

PART III: DATA ANALYSIS . Structure. PART II DATA COLLECTION. PART III ANALYSIS. PART I PREPARATION. 7 . Secondary data. 14. Secondary. 1. Introduction. 8. Observation. 2 . Approaches. 9. Qualitative. 15. Qualitative. 3. Starting out. 10. Questionnaires. 16. Survey data.

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PART III: DATA ANALYSIS

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  1. PART III: DATA ANALYSIS

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

  3. Chapter 14: Analysing secondary data

  4. CONTENTS • This chapter comprises 5 case studies dealing with: • 14.1. The Spirit Level and sport: International data on income inequality and sport participation • 14.2. Estimating demand for a sports facility • 14.3. Facility utilisation • 14.4. Facility catchment or market area • 14.5. Olympic medals • 14.6. The colour red and sporting success

  5. Children’s play safety (CS 11.6A) • Secondary data: reports of accidents in school playgrounds in Toronto (collected routinely for insurance etc. 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. A. J. Veal & S. Darcy (2014) Research Methods for Sport Studies and Sport Management: A practical guide. London: Routledge

  6. CS 14.1 The Spirit Level and sport • 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 • sport not covered • Sport participation data explored here A. J. Veal & S. Darcy (2014) Research Methods for Sport Studies and Sport Management: A practical guide. London: Routledge

  7. Income inequality & sport participation: Europe, 2009 (Fig. 14.1) A. J. Veal & S. Darcy (2014) Research Methods for Sport Studies and Sport Management: A practical guide. London: Routledge

  8. CS 14.2 Estimating demand for a sports 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) A. J. Veal & S. Darcy (2014) Research Methods for Sport Studies and Sport Management: A practical guide. London: Routledge

  9. Estimating demand for a sports facility contd • Secondary data: National survey + Census • Estimated total demand: 4600 visits per week D. Typical facility capacity: 500 visits/week • Capacity of 4 existing facilities: 2000 visits/week • Comparison: 4600 and 2000 visits/week • Unmet demand: 2600 visits/week • No. of new facilities to cater for unmet demand: 2600/500 = 5.2. Five courts. A. J. Veal & S. Darcy (2014) Research Methods for Sport Studies and Sport Management: A practical guide. London: Routledge

  10. CS 14.3 Facility utilisation • Secondary data: ticket/bookings data for different areas in a multi-purpose facility • See Table 14.4 and Fig. 14.4 A. J. Veal & S. Darcy (2014) Research Methods for Sport Studies and Sport Management: A practical guide. London: Routledge

  11. Facility utilisation contd(Fig. 14.3) A. J. Veal & S. Darcy (2014) Research Methods for Sport Studies and Sport Management: A practical guide. London: Routledge

  12. CS 14.4 Facility catchment area: • Secondary data: customer address data – from bookings or membership records • See Fig. 14.4 A. J. Veal & S. Darcy (2014) Research Methods for Sport Studies and Sport Management: A practical guide. London: Routledge

  13. Facility catchment area contd(Fig. 14.4) A. J. Veal & S. Darcy (2014) Research Methods for Sport Studies and Sport Management: A practical guide. London: Routledge

  14. CS 14.5 Olympic medals • Measuring countries’ success/rank order: • Gold medals won • Total medals, gold, silver and bronze, won • Points: for example: gold = 3 points, silver = 2 points, bronze = 1 point • Medals per million population • Points per million population • Medals per $billion GDP • Points per $billion GDP • Medals per $1000 GDP per head • Points per $1000 GDP per head A. J. Veal & S. Darcy (2014) Research Methods for Sport Studies and Sport Management: A practical guide. London: Routledge

  15. London 2012 Olympic Games: top 10 gold medal winners (Table 14.6) A. J. Veal & S. Darcy (2014) Research Methods for Sport Studies and Sport Management: A practical guide. London: Routledge

  16. Ranks on 9 measures of performance (Table 14.7) A. J. Veal & S. Darcy (2014) Research Methods for Sport Studies and Sport Management: A practical guide. London: Routledge

  17. CS 14.6 The colour red and sporting success • Hill and Barton (2005): • Red = ‘maleness’ in many animals • Anger associated with red • Analysis of 4 combat sports in the 2004 Olympics, where contestants are randomly assigned red and blue outfits. • Contestants wearing red consistently won more fights. • Confirmed using English soccer league data from 1947- • Challenged by Rowe et al. • See also CS 11.6b A. J. Veal & S. Darcy (2014) Research Methods for Sport Studies and Sport Management: A practical guide. London: Routledge

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