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How do you plan, carry out and evaluate a geographical fieldwork enquiry?

Fieldwork enquiry methods: forming aims and hypotheses, choosing locations and sampling, collecting primary and secondary data with physical and human methods, presenting and analysing the data, and evaluating the enquiry.

An Eduqas GCSE Geography A (C111) guide to fieldwork enquiry methods for Component 3, covering aims and hypotheses, locations and sampling, primary and secondary data collection with physical and human methods, data presentation and analysis, and evaluating the enquiry.

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  1. What this dot point is asking
  2. Forming aims and hypotheses
  3. Choosing locations and sampling
  4. Collecting data
  5. Presenting and analysing data
  6. Evaluating the enquiry
  7. Try this

What this dot point is asking

This covers the fieldwork enquiry process at the heart of Component 3, Applied Fieldwork Enquiry, of Eduqas GCSE Geography A (C111). You must carry out two fieldwork enquiries in contrasting physical and human environments, and the exam assesses them. Eduqas expects you to understand how to form aims and hypotheses, choose locations and sampling, collect primary and secondary data (physical and human methods), present and analyse the data, and evaluate the enquiry.

Forming aims and hypotheses

Every enquiry starts with a clear question.

  • An aim states what you want to find out ("to investigate how a river changes downstream").
  • A hypothesis is a testable prediction ("the river gets wider and faster downstream"), which the data will support or reject.
  • A good aim is focused, measurable and geographical, linked to a process you have studied.

Choosing locations and sampling

You must decide where and how to collect data.

  • Choose locations that are safe, accessible and relevant to the question (several sites along a river; contrasting parts of a town).
  • Because you cannot measure everything, you take a sample, a representative selection. Eduqas expects three strategies:

Collecting data

Data is either primary or secondary.

  • Primary data is what you collect yourself in the field. Physical methods: measuring river width, depth and velocity, pebble size and shape, beach profiles, or an environmental quality survey. Human methods: questionnaires, pedestrian and traffic counts, land-use mapping, and perception surveys.
  • Secondary data comes from other sources: census data, OS maps, weather records, photographs and official statistics.

Using both primary and secondary data makes an enquiry stronger.

Presenting and analysing data

Once collected, data must be presented and analysed.

  • Presentation: choose suitable graphs, maps, annotated photographs and diagrams (a line graph for river velocity downstream, a located bar chart on a map, an annotated field sketch).
  • Analysis: describe the patterns and trends, quote figures, identify anomalies, and use statistics (mean, median, range, interquartile range) to summarise.
  • Then draw a conclusion that answers the aim and refers back to the hypothesis.

Evaluating the enquiry

Finally, you evaluate how good the enquiry was, which is where high marks lie.

  • Were the methods accurate and the sample large and representative enough?
  • Did the weather, time of day or human error affect the data?
  • How reliable is the conclusion, and what are its limitations?
  • How could the enquiry be improved (a bigger sample, more sites, repeating on different days)?

Try this

Q1. Explain the difference between primary and secondary data. [2 marks]

  • Cue. Primary data is collected by you in the field (river measurements, questionnaires); secondary data comes from other sources (census, maps, records).

Q2. Explain why systematic sampling might be chosen for a river study. [4 marks]

  • Cue. Sampling at regular intervals (every 1 km) gives even, unbiased coverage along the whole river, so the change downstream can be tracked fairly.

Exam-style practice questions

Practice questions written in the style of WJEC Eduqas exam questions on this dot point, with worked answer explainers. The year tag is the paper they imitate, not the source.

Eduqas 2019 (style)4 marksExplain why a sampling strategy is used when collecting fieldwork data. (Component 3)
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A 4-mark "Explain" question assessing AO3 and fieldwork understanding. Markers reward reasons linked to practicality and reliability.

Award credit for: it is impossible to measure every pebble, person or point, so a sample (a representative selection) is taken to save time and make data collection manageable. A sampling strategy (random, systematic or stratified) reduces bias and makes the sample fair and representative, so conclusions about the whole area can be drawn confidently. Random sampling avoids choosing only easy spots; systematic sampling (every nth point) gives even coverage; stratified sampling reflects the proportions of sub-groups. A strong answer explains both the practical need and the goal of a fair, representative, unbiased sample.

Eduqas 2022 (style)8 marksFor one of your fieldwork enquiries, assess how reliable your conclusions were. (Component 3)
Show worked answer →

An 8-mark "Assess" question marked by levels of response, assessing AO3 and fieldwork, with SPaG credit. Markers reward a real enquiry, an evaluation of the methods and data, and a judgement on reliability.

Strong answers take the student's own enquiry (for example testing whether a river gets wider and faster downstream, or whether environmental quality changes across a town). They restate the aim and conclusion, then evaluate: was the sample large and representative enough; were the methods accurate (measuring instruments, repeated readings); was the data affected by the weather, time of day or human error; and were there anomalies. A good answer judges how confident the conclusion can be in light of these limitations, and suggests improvements (a bigger sample, more sites, repeating on different days). The judgement on reliability, supported by specific limitations, is what scores. Markers reward the real enquiry, the evaluation and the judgement.

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