Topic 3.3

The 5 Stages of Geographical Enquiry

Understanding how to plan, conduct, and evaluate fieldwork investigations

What is Fieldwork?

Geographical investigation conducted outside the classroom (must be off school grounds), collecting primary data (data you gather yourself) to answer a geographical question or test a hypothesis.

AQA Specification Requirements

2

Fieldwork enquiries in contrasting environments

One physical + one human geography

At least one must show physical-human interaction

Worth 15% of GCSE (39 marks in Paper 3 Section B) - tests your understanding of geographical enquiry process
The 5 Stages of Geographical Enquiry
1

Introduction & Planning

2

Data Collection

3

Presentation

4

Analysis

5

Conclusion & Evaluation

1
Stage 1: Introduction & Planning

1a) Choosing a Suitable Hypothesis

A hypothesis is a statement that can be tested through fieldwork. It must be linked to specification content and use theories/concepts from Papers 1 & 2.

Physical Geography Hypotheses

❌ TOO VAGUE: "Rivers change downstream"
✅ GOOD: "The cross-sectional area of River Exe increases with distance from source"
✅ GOOD: "Longshore drift transports sediment from west to east along Dawlish Beach"

Human Geography Hypotheses

❌ TOO VAGUE: "Cities have issues"
✅ GOOD: "Environmental quality decreases with distance from Bristol city centre"
✅ GOOD: "Footfall decreases with distance from Exeter High Street"

Factors when choosing a question:

Safety

Can data be collected safely?

Accessibility

Can you reach the location?

Data

Enough data available?

Time

Can it be completed?

Significance

Links to specification?

Hypothesis Quality Checker

Enter your hypothesis to check if it meets exam requirements

1b) Geographical Theory Underpinning Enquiry

You must identify the theory or concept your hypothesis relates to - this shows you understand WHY you expect your results.

Physical Geography Theories

  • Bradshaw model: River changes downstream
  • Longshore drift: Sediment transport along coast
  • Ecosystem succession: Vegetation change over time
  • Coastal erosion: Hydraulic action, abrasion, attrition
  • Weathering: Freeze-thaw, chemical, biological

Human Geography Theories

  • Burgess model: Concentric land use zones
  • Bid-rent theory: Land value decreases from centre
  • Sphere of influence: Area served by service
  • Rural-urban fringe: Transition zone, land competition
  • Urban deprivation: Cycle of decline

Example theory link:

Hypothesis: "Bedload size decreases with distance downstream in River Dart"
Theory: Bradshaw model predicts bedload size decreases because: (1) Erosion (attrition) rounds and breaks rocks during transport; (2) Smaller particles transported further as larger settle first.

Theory Matcher Quiz

Match the hypothesis to its underlying geographical theory

Question 1 of 6Score: 0

"River width increases with distance from source"

Which theory does this hypothesis relate to?

1c) Selecting Primary and Secondary Data

Primary Data (you collect)

Data gathered yourself during fieldwork

  • Quantitative: River width, pebble size, pedestrian count, traffic flow
  • Qualitative: Environmental quality scores, field sketches, photos, interviews

Secondary Data (already exists)

Collected by others, provides context

  • Sources: OS maps, GIS, Census data, weather records
  • Uses: Context, comparison, background information, site selection
1d) Risk Assessment

You must identify potential risks AND how to reduce them. Exam questions often ask you to explain risk reduction strategies for your fieldwork.

Risk Assessment Builder

Select an environment and identify how to reduce each risk

2
Stage 2: Data Collection

Sampling Methods

Why sample? You can't measure the entire area or population - it's too time-consuming. Instead, collect a representative sample.

Random Sampling

Every site has equal chance of selection

Method: Number all sites, use random number generator

✓ Unbiased, representative

✗ May miss important areas, sites may be inaccessible

Systematic Sampling

Select sites at regular intervals

Method: Every 10m, every 5th person, every 10 mins

✓ Quick, even coverage, no bias

✗ May miss patterns if interval unlucky

Stratified Sampling

Divide into groups, sample proportionally

Method: Match sample to population structure

✓ All groups accurately represented

✗ Need to know population structure first

Sample Size Rule of Thumb:

Minimum 20-30 samples for quantitative data; 10-20 questionnaires for surveys

Sampling Method Selector

Choose the best sampling method for each fieldwork scenario

Scenario 1 of 5Score: 0/0

You want to investigate how pebble size changes from the sea to the back of the beach along a 100m transect.

Which sampling method is most appropriate?

Fieldwork Planner Checklist

Work through each stage to plan your fieldwork enquiry

0/5 stages completed

1. Define your hypothesis

Write a clear, specific, testable statement

Checklist:

Is it specific (not vague)?
Does it include a location?
Can it be measured?
Does it link to specification content?

Tip: Use format: '[Variable A] increases/decreases with [Variable B] at [Location]'

Worked Example3 marks

Explain why systematic sampling was used to investigate how pebble size varies along the beach. (3 marks)

Grade 8/9 Exam Tips

Always justify your sampling method - don't just name it, explain WHY it's suitable for YOUR specific investigation

Link risk reduction to the specific fieldwork context - "working in pairs near water" is better than "working in pairs"

Name the theory explicitly - "Bradshaw model predicts..." shows examiner you understand the geographical basis

Use specific examples from YOUR fieldwork - examiners reward context-specific answers, not generic ones

Fieldwork Knowledge Check
Question 1 of 5Score: 0

What are the AQA requirements for GCSE Geography fieldwork?

Key Terms

Hypothesis

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A testable statement linked to geographical theory that fieldwork aims to prove or disprove

Primary data

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Data you collect yourself during fieldwork (measurements, surveys, observations)

Secondary data

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Data that already exists, collected by others (OS maps, census, weather records)

Random sampling

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Every site/person has equal chance of selection - removes bias

Systematic sampling

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Selecting sites at regular intervals (e.g., every 10m) - ensures even coverage

Stratified sampling

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Dividing population into groups and sampling proportionally from each