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A good enquiry question is geographical, testable and focused; sampling can be random, systematic or stratified. Free notes and 15 questions answered.
Fieldwork Enquiry: Question to Data Collection is part of Section B: Fieldwork in GCSE AQA Higher Geography.
8 min
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6
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GCSE AQA Higher
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A good enquiry question is geographical, testable and focused; sampling can be random, systematic or stratified. Free notes and 15 questions answered.
Use this lesson to stay inside Section B: Fieldwork while connecting the detail back to the wider Geographical applications topic.
Read the core explanations from Fieldwork Enquiry: Question to Data Collection before testing yourself from memory.
Every fieldwork investigation starts with a question — and the quality of that question determines the quality of everything that follows. A vague question leads to vague data. A sharp, geographical question gives your whole investigation direction and makes it possible to reach a real conclusion.
In Paper 3, you will be given fieldwork materials from an unfamiliar context — a location or investigation you have not studied before. Your job is to apply what you know about fieldwork methodology to that new situation. The examiner is not testing whether you recognise the place; they are testing whether you understand the process.
A suitable geographical enquiry question has three qualities: it is geographical (linked to a physical or human process), it is testable (you can collect data to answer it), and it is focused (not so broad that it becomes unmanageable in the field).
Think of the difference between these two questions: 'Is the river interesting?' versus 'Does river velocity increase downstream between sites 1 and 5?' The second version names two measurable variables — velocity and distance downstream — and gives you a clear method to follow. That is what makes it geographically suitable.
When you see unfamiliar fieldwork materials in the exam, your first move is to identify what the enquiry question is trying to investigate. Once you know that, every other decision — what data to collect, how to collect it, where to go — follows logically.
Once you have a clear question, you need to decide what data to collect. The golden rule: your data must directly help you answer the enquiry question. Collecting data that does not connect to your question wastes time in the field and weakens your conclusion.
Data in geography fieldwork falls into two broad types. Quantitative data is numerical — river velocity in metres per second, pedestrian counts, noise levels in decibels. Qualitative data is descriptive — photographs, field sketches, questionnaire responses about perceptions. Most strong investigations use both.
| Enquiry Question | Appropriate Data to Collect | Data Type |
|---|---|---|
| Does river velocity increase downstream? | Velocity measurements (float method or flow meter) at multiple sites | Quantitative |
| How does environmental quality change across an urban area? | Environmental Quality Index scores at multiple locations | Quantitative and qualitative |
| Do pedestrian numbers decrease away from the CBD? | Pedestrian counts at timed intervals at each site | Quantitative |
| How do people perceive safety in different parts of a city? | Questionnaire responses and bipolar analysis scores | Qualitative and quantitative |
Notice the pattern in the table: the data type is always chosen to match what the question is asking. If the question asks 'how much' or 'how fast', you need numbers. If it asks 'how do people feel' or 'what does it look like', you need descriptive or perception-based data.
Choosing what data to collect is only half the challenge. You also need to decide how to measure it and how to record it accurately. Poor measurement technique or inconsistent recording can make your data unreliable, even if your question and sampling strategy are excellent.
Each sampling strategy has a different strength. Random sampling removes investigator bias but can leave some areas under-represented by chance. Systematic sampling — for example, measuring every 10 metres along a river — ensures even coverage but may miss important variation between sample points. Stratified sampling is used when the study area has distinct zones, such as different land-use types in an urban transect, and you want each zone to be fairly represented.
Worked example: Designing a Data Collection Method for a River Fieldwork Enquiry
A student's enquiry question is: 'Does river velocity increase downstream between sites 1 and 5?' Walk through how to select, measure, and record appropriate data.
Answer: Measure velocity using the float method at five systematically sampled sites. Repeat three times per site, record raw times and calculated velocities in a pre-prepared table, and maintain consistent technique throughout.
The step-by-step above shows the full chain: question → variable → method → sampling → recording. In the exam, you may be asked about any link in that chain using unfamiliar fieldwork materials. The process is always the same, even when the context changes.
No fieldwork method is perfect. Examiners expect you to think critically about the data you collect — not to pretend everything went smoothly. Identifying limitations and suggesting realistic improvements is a mark-winning skill, particularly in the higher-mark questions on Paper 3.
Reliability refers to how consistent and repeatable your results are. If you repeated the investigation on a different day or with a different group, would you get similar results? Factors that reduce reliability include weather conditions, time of day, equipment accuracy, and human error in measurement or recording.
When suggesting improvements, be specific. 'Collect more data' is too vague. 'Increase the number of sites from five to ten, evenly spaced along the full length of the river' is a precise, credible improvement that shows geographical understanding.
Paper 3 will present you with fieldwork materials — photographs, data tables, maps, or graphs — from a location you have not studied. The examiner is not expecting you to recognise the place. They want to see whether you can read the materials and apply your fieldwork knowledge to them.
When you encounter unfamiliar materials, work through this sequence: identify the enquiry question or hypothesis being investigated, identify what data has been collected and how, then evaluate whether the method was appropriate and reliable. Every question about unfamiliar fieldwork can be answered using this framework.
Fieldwork questions on Paper 3 use specific command words that tell you exactly what kind of answer is needed. Getting the command word right is the difference between a Level 1 and a Level 3 response.
| Command Word | What It Requires | Example Fieldwork Stem |
|---|---|---|
| Describe | State what you see — patterns, trends, features. No reasons needed. | 'Describe the pattern of pedestrian counts shown in Figure 1.' |
| Explain | Give reasons why something happens. Use 'because' and 'therefore'. | 'Explain why pedestrian counts might decrease with distance from the town centre.' |
| Assess / Evaluate | Weigh up strengths and limitations, then reach a judgement. | 'Assess how reliable the data collection method used in Figure 2 is.' |
| To what extent | Argue both sides and reach a clear conclusion. | 'To what extent was the sampling strategy used appropriate for this enquiry?' |
| Using Figure X | Quote specific data from the resource before making your point. | 'Using Figure 3, describe the change in river velocity downstream.' |
For 'Using Figure' questions, always quote a specific value or trend from the resource in your first sentence. Examiners award marks for direct engagement with the data — a general comment about the figure without referencing actual values will not access the higher mark bands.
The fieldwork section of Paper 3 rewards students who can think like a geographer in an unfamiliar situation. Every question — however unexpected the context — can be answered by applying the same chain: question → data selection → measurement method → sampling strategy → recording → reliability and limitations. Practise that chain until it becomes automatic.
Published by Revise Right. Use the official specification reference to check the requirements for your course. Content updated: 2026-03-23.
Move to the related lessons or back to the topic page when you need the wider sequence before exam-style practice.
Systematic sampling in geography means choosing locations at regular intervals, such as measuring every 10 metres along a river or selecting five sites every 50 metres downstream. It ensures even coverage of the study area, but it may miss important variation between the sample points.
A hypothesis in geography fieldwork is a specific, testable prediction about what the investigator expects to find, often written as a statement rather than a question. For example, 'Pedestrian footfall decreases with distance from the town centre.' A good hypothesis links two measurable variables.
River velocity is calculated as velocity = distance ÷ time. Using the float method, a floating object such as an orange is put into the river and timed over a measured 10-metre distance; repeating this three times at each site and taking a mean gives a velocity in metres per second.
A good geography enquiry question is geographical (linked to a physical or human process), testable (data can be collected to answer it) and focused (not so broad that it becomes unmanageable in the field). 'Does river velocity increase downstream between sites 1 and 5?' works well because it names two measurable variables: velocity and distance downstream.
Random sampling chooses locations by chance, removing bias; systematic sampling chooses locations at regular intervals, ensuring even coverage; stratified sampling chooses locations to reflect the proportions of different groups or zones in the study area. Random sampling can leave some areas under-represented, while systematic sampling may miss variation between sample points.
The float method is a way to measure river velocity: drop a floating object, such as an orange, into the river and time how long it takes to travel a measured 10-metre distance. Velocity = distance ÷ time. Repeating it three times at each site and calculating a mean reduces the effect of anomalous results caused by turbulence or wind.
Quantitative data in geography is numerical, such as river velocity in metres per second, pedestrian counts or noise levels in decibels, while qualitative data is descriptive, such as photographs, field sketches and questionnaire responses about perceptions. Questions asking 'how much' or 'how fast' need numbers, and most strong investigations use both types.
Reliability is how consistent and repeatable fieldwork results are, and it is reduced by weather conditions, time of day, small sample size, equipment accuracy and human error. Improvements should be specific, such as increasing the number of sites from five to ten, evenly spaced along the full length of the river, rather than 'collect more data'.
The float method times a floating object over a measured distance, so it is accessible, low-cost and repeatable, while a flow meter is more precise but requires equipment. Either is valid for measuring river velocity, as long as the same method is used consistently across all sites.
Repeating fieldwork measurements three times and calculating a mean reduces the effect of anomalous results. In a river velocity investigation, for example, a single float measurement could be affected by turbulence or wind, so averaging three trials at each site gives a more reliable value.
A fieldwork recording sheet should be a pre-prepared table with columns for every measurement, such as site number, distance downstream, three trial times, mean time and calculated velocity. Recording raw times rather than only the calculated velocity means the arithmetic can be checked later and any anomalies found, and a prepared sheet reduces errors in the field.
Stratified sampling is used in geography fieldwork when the study area has distinct zones, such as different land-use types along an urban transect, and each zone needs to be fairly represented. Locations are chosen to reflect the proportions of the different groups or zones in the study area.
A fieldwork method stays consistent when the same distance, equipment and people are used at every site, for example the same 10-metre distance, the same person releasing the float and the same person operating the stopwatch. If the distance or the person changes between sites, new variables make it impossible to compare results fairly.
A good fieldwork improvement is specific rather than vague. 'Collect more data' is too general, whereas 'Increase the number of sites from five to ten, evenly spaced along the full length of the river' is a precise, credible improvement that shows geographical understanding.
In geography questions, 'describe' means stating what can be seen, such as patterns, trends and features, with no reasons needed, while 'explain' means giving reasons why something happens, using words such as 'because' and 'therefore'. 'Assess' or 'evaluate' then weigh up strengths and limitations before reaching a judgement.