🔍 Stages 1 to 3: plan and collect
Choose the question, set clear objectives, then go out and gather the data. These stages set up everything that follows.
Geographical Investigations » The Route to Geographical Enquiry
What you'll learn this session
Study time: 30 minutes
Cambridge spec: The route to geographical enquiry, Paper 4 Geographical Investigations, Enquiry skills for Paper 4
- The seven stages of the route to geographical enquiry
- What Paper 4 tests and why it rewards skills
- How to write a hypothesis you can actually test
- How to plan an investigation starting from a hypothesis
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Unlock This CoursePaper 4 and the route to geographical enquiry
Paper 4 Geographical Investigations is the optional written paper that tests fieldwork skills. It lasts 1 hour 30 minutes, is worth 60 marks and has two compulsory questions of 30 marks each. You are not asked to go out and do fieldwork in the exam. You are given an investigation, often with data, and asked how it should be done and what the results show.
The questions are set on issues linked to the topics in Paper 1 and Paper 2. They test the methodology of questionnaires, observation, counts and measurement, they involve testing hypotheses, and they test processing, presenting, analysing and evaluating data. Remember from How the Exams Work and Command Words that Paper 4 puts most weight on AO2 (skills and analysis), with AO1 (knowledge) and AO3 (evaluation and decision-making) each about a fifth.
To prepare, you follow the route to geographical enquiry. It is the same route used for coursework, and it has seven stages.
Key terms:
- Route to geographical enquiry: the seven stages of a geographical investigation, from choosing the question to evaluating the results.
- Enquiry: an investigation that sets out to answer a geographical question or test an idea.
The seven stages
| Stage | What happens |
|---|---|
| 1. Identification of issue, question or problem, and the hypothesis | A topic is spotted through observation, discussion, reading or earlier study. You design a hypothesis or guiding questions to test it. |
| 2. Objectives are defined | The aims are stated in specific terms. You decide what data are relevant and how they can be collected. |
| 3. Collection of data | Fieldwork to collect primary data (questionnaires, mapping or sketching, observation, counts, measurements). Secondary sources may also be used, such as census information, the internet, published maps, books and newspapers. |
| 4. Selection and collation of data | Data may be put together for the whole class. Each student then selects the data they need. |
| 5. Presentation and recording of the results | Results are recorded and shown in suitable forms, such as maps and graphs. |
| 6. Analysis and interpretation | You describe and explain the findings in response to the issue, using geographical ideas. |
| 7. Conclusions, evaluation and further work | You judge the hypothesis using the data as evidence, comment on the strengths and limitations of the data, and suggest improvements and further study. |
📊 Stages 4 to 7: use and judge
Sort the data, show it, explain it, then decide how far it supports the hypothesis and how good the method was.
You will return to stages 3 to 7 in the next two lessons. This lesson is about getting stages 1 and 2 right, because everything else depends on them.
Writing a hypothesis
A hypothesis is a statement that can be tested by collecting data. It is the basis of a coursework or Paper 4 investigation. The syllabus gives this example: "The CBD has better waste collection compared with the suburbs." It states a clear idea about a geographical concept, and you can collect data to find out if it is true.
Key terms:
- Hypothesis: a statement that forms the basis of an investigation and can be tested using data.
- Aim: what the investigation is trying to find out.
- Guiding question: a question that guides the investigation, used instead of, or alongside, a hypothesis.
- Null hypothesis: a statement that there is no difference or no relationship, such as "There is no difference in waste collection between the CBD and the suburbs". The investigation then tests whether the data disprove it.
✅ A good hypothesis
It makes a clear statement. It names what is compared (CBD and suburbs). It can be tested with data you can really collect. "Pebbles get smaller with distance downstream" is a good one.
❌ A weak hypothesis
It is vague or cannot be measured. "Rivers are interesting" or "Towns are bad" cannot be tested, because there is no data that would prove them right or wrong.
A good test is to ask: what would I measure, and where? If you cannot answer, rewrite the hypothesis.
Primary and secondary data
Primary data are data you collect yourself in the field, for example by questionnaire, counts, measurements or field sketches. Secondary data were collected by someone else, such as census information, published maps, books, newspapers or the internet. A good investigation often uses both. Primary data show what is happening now at your sites. Secondary data give background or let you check your results.
Worked example: planning from a hypothesis
Worked example
Hypothesis: The CBD has better waste collection compared with the suburbs.
Stage 1, the question: is waste collected more effectively in the CBD than in the suburbs of a town?
Stage 2, objectives and data:
- Measure how clean the streets are in the CBD and in a suburb. Data needed: a score for litter and overflowing bins at several sites in each area.
- Count the bins in a set length of street. Data needed: number of bins per 100 m in each area.
- Find how often waste is collected. Data needed: collection times from the town council website (secondary data).
Stage 3, collection: primary data from a scored survey and bin counts at the same time of day at equal numbers of sites in each area. Secondary data from the council.
Stages 4 to 7: put the scores and counts in a table, draw a bar graph for each area, describe the difference, and decide if the hypothesis is supported. Then comment on problems, such as one day only being surveyed, and suggest further work, for example repeating on a different day.
Common mistakes
Writing a hypothesis that is a question or an opinion rather than a testable statement. Choosing data that cannot be collected in the time or place. Forgetting to say how the data will be collected. Mixing up primary data (collected by you) and secondary data (collected by others). Skipping the evaluation stage.
Exam-style question
A class wants to investigate how the quality of the environment changes with distance from the centre of a town. They write this hypothesis: "Environmental quality improves with distance from the town centre."
(a) State what is meant by a hypothesis. [1 mark]
(b) Identify one source of secondary data the class could use. [1 mark]
(c) Give two stages of the route to geographical enquiry that come after the collection of data. [2 marks]
(d) Plan an investigation to test this hypothesis. [6 marks]
Model answer
(a) A statement that can be tested using data (1).
(b) Any one from: census information, a published map, the internet, books or newspapers (1).
(c) Any two from: selection and collation of data, presentation and recording of results, analysis and interpretation, conclusions and evaluation (1 each).
(d) Level 3 (5-6 marks): The class should first set a clear objective, which is to compare environmental quality at sites in a line from the centre outwards. They should choose sites at equal distances, for example every 500 m, so the results can be compared. At each site they should score environmental quality using the same criteria, such as litter, noise and building condition, on the same scale, at the same time of day. They could add secondary data such as a map of the town to choose the sites. The scores should be put in a table and shown on a graph against distance, then described, explained and used to judge whether the hypothesis is supported. Finally they should evaluate, for example because scores are opinions and only one day was used, and suggest repeating on another day.
Exam tip
In a "Plan" answer, follow the route in order: say what you will measure and where, how you will collect it, how you will show it, and how you will judge the hypothesis.