Human Fieldwork Flashcards

1
Q

Human fieldwork: Enquiry Question

A

“How and why are there variations in QoL for different areas within Bournemouth?”

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2
Q

Human fieldwork: study location

A

Bournemouth:
> Boscome West - Churchill Gardens
> Boscombe East - Shelley Park

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3
Q

Deprived area?

A

Boscombe West

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4
Q

Test 1: Quantitative test measuring Environmental Quality

A
  • Systematic Sampling – measured on a main road in both Boscombe East and Boscombe West
  • As a result we did 3 EQS in Boscombe East, 3 in Boscombe West.
  • We measured 7 diff factors: noise, greenery and open space, housing, services, safety if alone, litter/graffiti vandalism, traffic.
  • We measured using a bi-polar scale between -2 (v. bad) and +2 (v. good
  • The best score for an area would have been +12 and the worst -12. We added up all of the scores for the factors and found an average EQS for both areas.
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5
Q

Test 2: Qualitative Test – Perception of how quality of life was different in
Boscombe East and Boscombe West

A
  • Systematic Sampling – before we went to each area we placed a dot in middle of the map of Boscombe East & Boscombe West.
  • We then found the closest building/street to this dot and took the photo
    -We annotated the diagram with factors such as: house type, house density, house quality, green space, traffic, proximity to services, air quality etc. as these would show us how we perceived
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6
Q

What were our presentation techniques?

A

Radar graph to show EQS Environmental Quality (quantitative)

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7
Q

What were our conclusions

A
  • Primary data collected supports secondary data, showing a big gap in QoL between Bosc. East & West
  • Avg. EQA in East was +1.5 compared to -0.15 in West, showing env is better in East
  • West scored worse for building qual, litter, vandalism & safety
  • Qualitative photos helped compare & clearly see problems in building in West.
  • East has low density detached houses w excellent parks in the area
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8
Q

Evaluating EQS (Quantitative data): PROBLEMS

A
  • Was a -2 to +2 scale the best? Did it allow us to accurately measure how good/bad an area was?
  • Having a 0 choice as a neutral score – did this mean we were somewhat in the middle in some areas rather than saying it was ‘good’ or ‘bad’.
  • Our scores were subjective based on our interpretation of the area, what we could see, how we felt and our backgrounds - Different people would have different views
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9
Q

Evaluating EQS (Quantitative data): ALTERNATIVES

A
  • -5 to +5 for a scoring system
  • Not having a zero as a middle point
  • Instead of judging how noisy an area was – we could have used a noise meter on our phone
  • Instead of judging traffic noise – we could have done a traffic count to get actual data
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10
Q

Evaluating Annotated photos (Qualitative data): PROBLEMS

A
  • Is the photo representative of the entire area?
  • We only took one photo.
  • Our background (age, wealth, upbringing) will affect how we judge and view the area
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11
Q

Evaluating Annotated photos (Qualitative data): ALTERNATIVES

A
  • Use different people to undertake the same task (different backgrounds).
  • Complete questionnaires to find out residents views as sometimes ‘run-down’ areas can have excellent community spirit and places to live – a photo isn’t always the full picture!
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