Skills Part 2 Flashcards
State the aim of your investigation and describe one method of data collection with the aim. (6)
- 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
Describe the advantages of your chosen location for the fieldwork enquiry. (4)
- Easily accessible: motorway, train, bus
- Excellent contrast
- Safe
- Lots of residential streets
- Close together so can complete in a day
Using specific examples from your fieldwork, describe the risk assessment you undertook in relation to your enquiry. (6)
- 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
Describe one method of primary data collection used in this investigation. (5)
- 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
Describe the strengths and weaknesses of one of your methods of primary data collection. (6)
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
With reference to your fieldwork investigation, distinguish between qualitative and quantitative data. (3)
- Qualitative - opinions and perspectives, like interviews with local people
- Quantitative - data that is numerical and you can measure, like bipolar survey or traffic count
Outline and justify one method of data collection that you used in your enquiry. (6)
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
Outline how you obtained and why you used secondary data in your enquiry. (5)
- 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
Describe a sampling technique you used to collect data. (5)
- Grid over map with 100 squares
- Os map 1:25000
- Number grid
- Random number generator
- Repeat for second location
Describe the advantages of a technique that you used to analyse your data. (5)
- 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
Making specific reference to your results, suggest tell your enquiry could be improved. (5)
- 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
Drawing upon your findings, explain how your enquiry improve your understanding of the topic. (8)
- 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
Explain the geographical process or theory that underpinned your fieldwork enquiry. (4)
- Burgess’ concentric model
- Draw and annotate
- Quality of life improves further from CBD
- We looked at Aston (inner city), Knowle (commuter)
Referring to your results, outline the main conclusions of your enquiry and suggest further areas of research. (8)
- 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)