Fieldwork Human Flashcards
What is the title of the human fieldwork enquiry?
“To what extent has regeneration improved the quality of life for people in Stratford?”
What two areas were compared in the investigation?
East Village (regenerated) vs. Carpenters Estate (not regenerated).
Where was the human fieldwork investigation conducted?
Stratford in Newham, London.
Why was Stratford chosen for this investigation?
It underwent major regeneration after the 2012 Olympics, making it ideal for comparison . Previously deprived due to deindustrialisation in the 1980s.
What aspects of “quality of life” might be assessed in this investigation?
Housing, employment, environment, transport, and social well-being.
What is meant by “regeneration”?
The process of improving an area through redevelopment and investment.
Why was Stratford regenerated?
It was redeveloped for the 2012 London Olympics.
How was data collection made efficient?
Sites were within walking distance, allowing data collection in one day.
What was a key limitation of the location choice?
Only two sites were visited, so the whole area was not fully covered.
How were these risks reduced?
Crossing roads in safe places.
Wearing suitable footwear.
What were the risks during data collection?
Traffic – risk of collision.
Slips, trips, and falls.
What is a geosnap?
A photograph taken to show the quality of life (QoL) in both areas.
Why were geosnaps used?
To provide visual evidence of differences in quality of life.
What is an Environmental Quality Survey (EQS)?
A method of scoring different factors affecting quality of life.
How was the EQS conducted?
Each site was scored from 1 (poor) to 5 (good) across 8 categories.
Why was the EQS used?
To quantitatively compare quality of life between the two areas.
What 8 qualities were assessed in the EQS?
Building quality, traffic, vandalism, litter, green space, lighting, pavement quality, and street furniture.
What was the community service tally?
A tally count of public services like bus stops, shops, and parks.
What were the 3 pieces of primary data we collected?
Geosnaps
Environmental Quality Survey (EQS)
Community Service Tally
Why was the community service tally used?
To compare access to services at each site.
Why were geosnaps reliable and accurate?
A range of photos was taken, showing detailed evidence of quality of life.
How was the EQS made more reliable?
Scores were agreed upon as a group.
Why was the community service tally reliable?
It was simple to count, reducing the chance of errors.
How was bias reduced in the EQS?
The average of the class scores was taken for final results.
Why were geosnaps not fully reliable or accurate?
Photos were chosen based on personal preference, leading to bias.
Why might the EQS results be biased?
Scores were based on personal opinion, which could vary between people.
Why might the community service tally be inaccurate?
Some services may have been missed or counted incorrectly.
What education data was used in the investigation?
Census data on Level 4 qualifications or above.
Why was education data used?
To compare education rates in regenerated and non-regenerated areas
How does education relate to quality of life (QoL)?
Higher education levels often lead to better job opportunities and income.
Why was the census data reliable and accurate?
Collected by the government for all households, making it accurate
Why was the census data up to date?
The data was from 2021, ensuring recent information.
Why might the census data not be fully reliable?
Some households may have changed since the census was taken.
What sampling method was used?
Stratified sampling.
Why was stratified sampling used?
Two pre-selected sites were chosen—one regenerated, one not—to allow comparison.
How did annotating geosnaps help interpret data?
Provided qualitative insights with detailed annotations on quality of life.
Why was a radar graph used for EQS scores?
Made it easy to compare different quality of life categories between sites.
How did a dual bar chart help with tally data?
Allowed clear comparison of service counts between sites.
How could the investigation be improved?
More sites – Visiting additional areas would provide a fuller picture of Stratford.
Larger sample size – Conducting multiple EQS surveys at different points (e.g., every 20m) would give more accurate results.
Reduce bias – EQS scoring is subjective; additional secondary data could improve accuracy.
More secondary data – Looking beyond education to health and employment statistics would give a better understanding of quality of life.
Why might geosnaps and annotations be biased?
They are subjective—photos could focus on positives in East Village and negatives in Carpenters Estate
What was a limitation of the radar graph for EQS scores?
Some scores (e.g. 1 or 5) could be misinterpreted as high or low.
What was a limitation of the dual bar chart?
Too many different services on the Y-axis could make it confusing.
What did the geosnaps show about quality of life?
East Village had better quality of life, with more green spaces, walking signs, and paths encouraging physical and mental health.
What did the EQS reveal about environmental quality?
East Village had higher scores, especially for pavement quality, lighting, and green space (all scored 5 vs. 1 in Carpenters Estate).
How did the service tally compare between the two sites?
More services in East Village, especially:
What was the overall conclusion of the investigation?
Regeneration in Stratford has largely improved quality of life, especially in environmental quality, services, and education.
What did the census data show about education levels?
Higher education rates in East Village (81% Level 4 or higher vs. 56% in Carpenters Estate).
Why was the conclusion reliable and valid?
-Based on four different methods (3 primary, 1 secondary), all showing improvements.
-Used class averages for EQS and service tally, reducing bias and increasing reliability.
What specific improvements were seen in East Village?
Better pavements, green spaces, building quality, and lighting.
More services (playgrounds, sports facilities, walking routes).
Higher education rates, indicating better quality of life.
