FIELDWORK EVALUATION FLASHCARDS

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Last updated 12:20 PM on 6/2/26
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67 Terms

1
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What was a strength of the hypothesis?

It could clearly be proved true or false

2
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What limitation affected the hypothesis?

It did not consider upper-floor land uses and services

3
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How could the enquiry have been improved?

By investigating upper levels of buildings as well

4
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Why was Les Halles a good investigation site?

It had experienced major redevelopment over the last 10 years

5
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Why was Google Street View useful?

It showed detailed images before redevelopment

6
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Why was the site good for questionnaires?

Large numbers of shoppers were available to question

7
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Why was the site considered safe?

It was an open public space with traffic calming measures

8
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What weather problem affected the investigation?

Cold windy rain made data collection difficult

9
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How did weather affect questionnaires?

Fewer people were present to answer questions

10
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Why was surveying buildings difficult?

Many buildings had multiple levels with different services

11
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What issue made comparisons between 2016 and 2026 difficult?

Some shops merged or buildings changed completely

12
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What was a strength of the EQS sampling strategy?

It created a logical systematic grid around Les Halles

13
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Why was pragmatic sampling useful?

It adapted sites so they were practical and safe to survey

14
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What was a weakness of pragmatic sampling?

It could be biased by the investigators’ opinions

15
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How were questionnaire respondents selected?

By rolling a dice and counting people randomly

16
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Why was random sampling useful?

It reduced bias

17
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What limitation affected questionnaire sampling?

Pupils may have avoided intimidating people

18
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Why were interviews carried out pragmatically?

To target a range of shop types and viewpoints

19
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Why were photographs useful?

They added detailed qualitative evidence to conclusions

20
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What issue existed with Google Street View?

Some angles and locations could not be viewed clearly

21
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How could sampling reliability be improved?

By increasing the number of survey sites

22
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Why were repeat readings important?

They improved reliability and reduced anomalies

23
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Why was one person responsible for readings?

To improve consistency

24
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What weakness affected land-use categories?

High

25
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How could land-use categories be improved?

Create fixed lists for each category

26
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How did poor weather affect EQS results?

It may have encouraged more negative scores

27
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How did weather affect photographs?

Fewer photographs were taken during rain

28
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Why could news reports contain bias?

Many came from government-linked agencies

29
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How could secondary data reliability improve?

Use more sources hidden behind paywalls or other photo sites

30
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Why were radial kite graphs useful?

They clearly showed differences visually

31
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What did smaller circles on radial kite graphs represent?

Lower environmental quality scores

32
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Why were tables still needed with radial kite graphs?

To provide exact numerical values

33
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What limitation affected the land-use map?

It only showed ground-floor land uses

34
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How could the land-use map improve?

Use two colours to compare before and after redevelopment

35
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Why were bar graphs useful for questionnaires?

They clearly showed differences and trends

36
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Why were annotated photographs useful?

They explained why photos were important

37
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What problem affected Google Street View photographs?

Traffic blocked some important views

38
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How were EQS results analysed?

By comparing radial kite graphs and averages

39
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What did the EQS averages show?

Areas near Les Halles had higher environmental quality

40
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What change occurred in high-order shops?

They increased from 1 to 3

41
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What happened to medium-order shops?

They decreased from 15 to 9

42
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What happened to low-order shops?

They decreased from 11 to 6

43
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What did questionnaire averages suggest?

People generally had positive opinions about redevelopment

44
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Which questionnaire topic scored lowest?

Quietness in the area

45
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What was the average score for positive redevelopment effects?

4.3 showing strong agreement

46
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Why was the land-use hypothesis inconclusive?

Different numbers of buildings made comparisons unreliable

47
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What major weakness affected land-use reliability?

Upper-floor services were not measured

48
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How could land-use reliability improve?

Create maps including multiple building levels

49
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What did Hypothesis 1 conclude?

Environmental quality was higher around Les Halles

50
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What evidence supported Hypothesis 1?

Les Halles averaged 0.6 while surrounding areas averaged -0.4

51
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What limitation affected Hypothesis 1?

Only 9 sites were surveyed

52
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How could Hypothesis 1 be improved?

Use more sites with systematic sampling

53
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What did Hypothesis 2 conclude?

Environmental quality improved after redevelopment

54
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What evidence supported Hypothesis 2?

Post-development scores were higher than pre-development scores

55
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What limitation affected Hypothesis 2?

Google Street View limited some views

56
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What improvement was suggested for Hypothesis 2?

Use additional online images

57
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What did Hypothesis 3 conclude?

People had positive opinions about redevelopment

58
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What limitation affected Hypothesis 3?

Too few questionnaire respondents due to poor weather

59
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How could Hypothesis 3 be improved?

Repeat surveys on a better weather day

60
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What did Hypothesis 4 conclude?

Land-use change results were inconclusive

61
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Why were land-use results unreliable?

Different building numbers and no upper-floor data

62
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What improvement was suggested for Hypothesis 4?

Measure upper-floor land uses and redesign maps

63
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What is an anomaly in fieldwork?

A result that does not fit the overall pattern

64
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Why is repeating surveys important?

It improves reliability and reduces anomalies

65
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What is subjective data?

Data based on opinions or judgement

66
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What is objective data?

Data based on measurable facts

67
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What is the purpose of evaluation in geography fieldwork?

To assess strengths