Data Collection (Cambridge International IGCSE Geography)
Data Collection
Health and safety in the field
-
Carry out a risk assessment on the area you have chosen
-
Identify any hazards and ways they can be dealt with
-
Dress appropriately to keep warm and dry. If strong sun is forecast, bring and wear sunscreen and a hat
-
Contact details - always have a contact/meeting point, an emergency contact number and your school's telephone number
-
Check the weather forecast for the area
-
Make sure all mobile phones are fully charged with emergency numbers already uploaded and on speed dial if possible
-
Have designated rendezvous points and emergency contacts
-
River work
- Do not push people or otherwise mess about in the water
- Take extreme care near river banks, especially where the ground is steep or wet
- Wear suitable footwear at all times
- Do not swim in the water
-
Coastal fieldwork
- Check high and low tide times
- Use dedicated footpaths to access the beach
- Don’t climb on groynes or sea defence structures
- Do not handle beach litter, wear gloves when picking up pebbles
- Stay at least one metre away from the tide line and keep an eye on the waves
- Do not enter the sea under any circumstances
- Stay in pairs/threes and visual contact with a member of staff at all times
-
Town centre
- Ensure that you have the contact numbers for staff and that they have your mobile phone number too
- Ensure your mobile phone is charged and in credit
- Use the map in your pack to familiarise yourself with the area
- Stay with your group at all times – no one should be on their own at any time
- Keep valuables concealed – digital cameras are brought at your own risk
- Only question people you are comfortable talking to and who are happy to help you
- Avoid asking the same person as another group working in the same area
- Use the pedestrian crossing where possible
-
Equipment
- Check all equipment is working and that you have enough for each student/group and some spares
- Make sure you know how to use specific equipment and/or any recording sheets provided
- Ensure you practice using the equipment in a safe environment before taking it out in the field
- Where laptops and smartphones are to be used and internet access is needed, check out that this is possible
- If apps are to be used, make sure these are downloaded onto each piece of equipment
Data collection
-
Data collected by the students within their fieldwork is primary data.
-
Examples of primary data can include:
- Questionnaire data
- River data - width, depth etc...
- Video/audio recordings
- Photographs
- Interview information
-
Data collected by someone else but used by the student in their enquiry is secondary data
-
Examples of secondary data can include:
- Census results
- Weather data
- Old photographs
- Maps
- Newspaper articles
- Websites
Primary data
-
Strengths of primary data include:
- The data is reliable and valid if collected correctly
- The data is specific to the enquiry
- As much data as needed can be collected
- The method of the collection is known
- It is up-to-date
-
Limitations of primary data include:
- It is time-consuming to collect
- Specialist equipment/resources may be required
- The sample size needs to be large to be accurate
Secondary data
-
Strengths of secondary data include:
- It can be easy to access
- It may be low-cost or free
- Can be accessed quickly
- A large amount of data sources are available
-
Limitations of secondary data include:
- It is not specific to the enquiry
- No control over the data quality
- Data may be biased
- Data may be out of date
Quantitative data
-
Data which records quantities is quantitative data
-
Examples of quantitative data are:
- Numerical data collected in questionnaires
- Traffic counts
- Environmental quality surveys
- River data - velocity, discharge
- Weather data
| Strengths | Limitations |
|---|---|
| - Possible to have a larger sample size - Information can often be collected quickly - Data collection can be duplicated - More objective than qualitative data - More reliable than qualitative data | - The meaning behind the results is not clear - Human error or equipment error can lead to mistakes in measurement |
Qualitative data
-
Data which records descriptive information is qualitative data
-
Examples of qualitative data:
- Field sketches and photographs
- Non-numeric questionnaire data
- Interview answers
| Strengths | Limitations |
|---|---|
| - More in-depth than quantitative data - More valid than quantitative data | - Often a small sample size - Enquiries are not easy to duplicate - Difficult to make comparisons - Low reliability - Time-consuming |
Questionnaires and interviews
-
When collecting data via questionnaires or interviews several questioning types can be used:
- Closed questions where answers are limited to single words, numbers or a list of options
- Statements which use a scale to gauge people's views. For example, strongly agree/agree
- Open questions where the respondent can give any answer
-
Questionnaires can be used to gather a large sample of data
-
Interviews are more in-depth and tend to be used to gather a smaller data sample
Environmental quality surveys
-
These are used to collect data about the environmental quality of different sites
-
They use the judgement of the person conducting the survey to assess environmental quality against a range of indicators
- Using a sliding scale (1 -5) or bipolar scale (-3 to 3)
- Usually, the lower the score the more negative the assessment of the environmental quality
-
They are subjective because they are based on the opinion of the person completing them
-
This can be reduced by:
- Completing in small groups to reach a consensus regarding the score
- Using the mode of EQS completed by several students
-
They produce quantitative data
Was this revision note helpful?
Build on this topic