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Using Data on Volunteering Helen Timbrell University of Dundee March 1 2005

Using Data on Volunteering Helen Timbrell University of Dundee March 1 2005 ESRC Case Studentship PTA-033-2003-00020. How does the nature, meaning and impact of volunteering vary between urban and rural locations?. My research. Case study sites Rural deprived 2. Rural affluent

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Using Data on Volunteering Helen Timbrell University of Dundee March 1 2005

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  1. Using Data on Volunteering Helen Timbrell University of Dundee March 1 2005 ESRC Case Studentship PTA-033-2003-00020

  2. How does the nature, meaning and impact of volunteering vary between urban and rural locations? My research • Case study sites • Rural deprived 2. Rural affluent • 3. Urban deprived 4. Urban affluent • Extent of volunteering • Types of volunteering • Relationship between volunteering and social capital • Policy impacts • Sense of place • Sense of self Questionnaires Random sample of 20% of ward area Interviews Current volunteers, volunteer coordinators, key local figures

  3. Large Urban Areas Other Urban Areas Accessible Small Towns Remote Small Towns Accessible Rural Remote Rural Scotland Yes 23 20 25 24 30 37 24 No 77 80 75 76 70 63 76 Total 100 100 100 100 100 100 100 Base 4968 3296 1433 667 1687 1244 13925 Source: SHS Annual Report 2003, p131 Using SHS Data:Annual Reports Q. Whether given up time to help as an organiser/volunteer in the past 12 months • Gender, Age, SEC etc. • Limited info on urban/rural classification • Types of volunteering • Hours spent volunteering • Neighbourhood satisfaction

  4. Percentage of those who have given time to an organisation/volunteer in the past 12 months Remote rural n=569 Accessible rural n=1101 Table 1. Number of hours spent volunteering in the previous 4 weeks 0 – 4 hrs 58.7 62.7 5 – 8 hrs 14.2 14.7 9 – 12 hrs 10.0 8.8 13 – 16 hrs 4.0 4.0 17 – 28 hrs 6.9 5.0 29+ hrs 6.2 4.8 Total 100.0 100.0 Using SHS Data:SHS Lite (i) • Can use urban/rural classification on additional variables • Can recode variables to facilitate comparison to my results

  5. Remote rural n=1517 Accessible rural n=3392 Have given time as an organiser/volunteer in past 12 months Have given time as an organiser/volunteer in past 12 months Yes No Tables 2 and 3: How rate area as a place to live by whether given up time as an organiser/volunteer in past 12 months Yes No Good 97.2 95.5 Good 96.9 95.3 Poor 2.7 4.1 Poor 2.9 4.3 No Opinion 0.2 0.4 No Opinion 0.2 0.3 Total 100.0 100.0 Total 100.0 100.0 Using SHS Data: SHS Lite (ii) • Can select cases only relevant to my own research • Can cross tab variables relevant to my research

  6. Ease of use • To a nervous quantitative researcher… • Initially overwhelming • BUT: Excellent User Guide • Crucial Variable list • SPSS background useful but probably not essential • Good range of variables covered • Risk of wallowing in range of information available • Remember: own data is primary focus

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