Skills Part 2 Flashcards

1
Q

State the aim of your investigation and describe one method of data collection with the aim. (6)

A
  • Aim - to compare quality of life in an inner city area (Aston) and a commuter town (Knowle)
  • Primary data through bipolar survey
  • Chose sample streets at random (number generator and grid
  • Quality of life indicators: noise, social deviance, traffic
  • Rated between 1-10
  • Calculated an average over the streets
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2
Q

Describe the advantages of your chosen location for the fieldwork enquiry. (4)

A
  • Easily accessible: motorway, train, bus
  • Excellent contrast
  • Safe
  • Lots of residential streets
  • Close together so can complete in a day
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3
Q

Using specific examples from your fieldwork, describe the risk assessment you undertook in relation to your enquiry. (6)

A
  • Drove around area to familiarise
  • Used street view to further familiarise
  • Stayed in groups
  • Mobile contact numbers
  • Predesignated meeting point and time
  • High visibility jackets
  • Daylight hours
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4
Q

Describe one method of primary data collection used in this investigation. (5)

A
  • Primary data of quality of life indicators
  • Through bipolar survey
  • Scale 1-10, 1 bad 10 good
  • Stood on street and assessed
  • Surveyed more than one street
  • Calculated a mean score for all streets
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5
Q

Describe the strengths and weaknesses of one of your methods of primary data collection. (6)

A
BIPOLAR SURVEY
STRENGTHS 
• Quick 
• Easy to repeat 
• Simple data
• No equipment
WEAKNESSES
• Certain QOL indicators may be dependant on time of day
• May cause upset to people
• Invades privacy
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6
Q

With reference to your fieldwork investigation, distinguish between qualitative and quantitative data. (3)

A
  • Qualitative - opinions and perspectives, like interviews with local people
  • Quantitative - data that is numerical and you can measure, like bipolar survey or traffic count
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7
Q

Outline and justify one method of data collection that you used in your enquiry. (6)

A
OUTLINE
• Bipolar survey 
• With 1-10 score of QOL indicators
• Random streets 
• Calculate mean
JUSTIFY
• QOL indicators allowed us to compare the two areas' QOL
• Justify theory/ confirm hypothesis
• Method of testing concentric model
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8
Q

Outline how you obtained and why you used secondary data in your enquiry. (5)

A
  • House prices on zoopla
  • Housing is one of best indicators of wealth
  • National statistics/ census for crime rates and other QOL indicators
  • Allows comparison between areas
  • To justify hypothesis
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9
Q

Describe a sampling technique you used to collect data. (5)

A
  • Grid over map with 100 squares
  • Os map 1:25000
  • Number grid
  • Random number generator
  • Repeat for second location
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10
Q

Describe the advantages of a technique that you used to analyse your data. (5)

A
  • Bar chart
  • Allows averages to be calculated between streets
  • Easy to understand comparisons
  • EVEN BY A NON-GEOGRAPHER
  • Individual indicators of development can be compared
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11
Q

Making specific reference to your results, suggest tell your enquiry could be improved. (5)

A
  • Sample more streets
  • Choose more than one urban and commuter areas
  • Some areas break the rule which you may have missed
  • Only comparing two areas isn’t enough
  • Potentially include more QOL indicators
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12
Q

Drawing upon your findings, explain how your enquiry improve your understanding of the topic. (8)

A
  • Describe Burgess concentric model
  • Hoyt model
  • Look at more places to further understanding
  • Improved understanding and real life application of models
  • Improved data collection
  • Improved Risk assessments
  • Improved data analysis
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13
Q

Explain the geographical process or theory that underpinned your fieldwork enquiry. (4)

A
  • Burgess’ concentric model
  • Draw and annotate
  • Quality of life improves further from CBD
  • We looked at Aston (inner city), Knowle (commuter)
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14
Q

Referring to your results, outline the main conclusions of your enquiry and suggest further areas of research. (8)

A
  • Burgess concentric model
  • QOL improves with distance from CBD
  • Results - QOL does improve with distance - from primary data (QOL indicators) - valid
  • Secondary data also matched this - House price - valid
  • Model is correct/accurate - link back to hypothesis
  • Improvement - transect along city
  • Improvement - more streets in area
  • Improvement - look at other cities (with varying population and size)
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