Topic 3.7

Drawing Conclusions, Evaluating Fieldwork & Answering Exam Questions

Master the skills needed to excel in Paper 3 Section B

Drawing Conclusions

Return to Hypothesis

State whether your hypothesis is:

ACCEPTED

Data supports the hypothesis

PARTIALLY ACCEPTED

Mixed evidence / some anomalies

REJECTED

Data contradicts the hypothesis

A strong conclusion includes:

  • 1.Clear verdict - accepted/rejected/partial
  • 2.Evidence - specific data to justify verdict
  • 3.Explanation - WHY pattern occurred (geographical reasoning)
  • 4.Theory link - explicitly name the model/concept
  • 5.Anomalies addressed - explain any outliers
Conclusion Builder Practice

Select an example, review the data, decide the verdict, then see a model conclusion

Evaluating Fieldwork

Common Exam Questions:

"Evaluate the effectiveness of your data collection methods."

"Suggest how your investigation could be improved or extended."

What to Evaluate:

1.Data collection methods - strengths & weaknesses
2.Sampling strategy - appropriateness & limitations
3.Sample size - adequate for conclusions?
4.Timing - day/time bias?
5.Weather/environmental conditions
6.Accuracy & reliability of measurements
7.Alternative data that could strengthen study
8.How study could be extended
Evaluation Framework Builder

Click a category to see strength/weakness/improvement patterns

Tape measure for river width
Strength: Simple equipment (no training needed), accurate to ±1cm (acceptable for 2-10m widths), quick (30 seconds per site)
Weakness: Only measures surface width, doesn't account for undercut banks
Improvement: Use ranging poles to mark bank edges precisely, measure at multiple points across width
Float timer for velocity
Strength: Low cost, no batteries required, visual method easy to understand
Weakness: Only measures surface velocity (slower at bed due to friction), accuracy affected by wind, difficult in slow-flowing sections
Improvement: Hydroprop flow meter would measure velocity at different depths, providing more accurate average
Questionnaire survey
Strength: Gathers primary qualitative data, can explore reasons behind patterns, allows follow-up questions
Weakness: Subjective responses, small sample may be unrepresentative, respondent bias possible
Improvement: Increase sample size to 50+, use closed questions for quantitative analysis, stratified sampling

Grade 8/9 Evaluation Approach:

  • Specific: Name exact methods/equipment ("tape measure" not "equipment")
  • Justified: Explain WHY strength/weakness ("because..." not just stating)
  • Realistic improvements: Suggest practical alternatives
  • Acknowledge trade-offs: "Larger sample would improve accuracy BUT time constraints meant..."
  • Link to results: "Limited sample size may explain anomaly at Site 4..."

Grade 8/9 Evaluation Approach

  • Specific: Name exact methods/equipment ("tape measure" not "equipment")
  • Justified: Explain WHY strength/weakness ("because..." not just stating)
  • Realistic improvements: Suggest practical alternatives (not "use satellite data")
  • Acknowledge trade-offs: "Larger sample would improve accuracy BUT time constraints meant..."
  • Link to results: "Limited sample size may explain anomaly at Site 4..."

Exam Technique for Paper 3 Section B

Question 4: Unfamiliar Fieldwork

15 marks

What it tests: Fieldwork skills applied to investigation you haven't conducted

Given: Context, data, maps, graphs about another student's fieldwork

Tasks: Suggest methods, complete presentation, describe/analyze data, evaluate

Key tip: Use your understanding from YOUR fieldwork but apply it to THEIR context

Question 5: Your Own Fieldwork

24 marks

What it tests: Recall details from YOUR two fieldwork enquiries

Asked about: Title, location, hypothesis, methods, risks, results, conclusions, evaluation

You CANNOT take fieldwork notes into the exam!

Fieldwork Memory Checklist

Use this to check you can recall all details for YOUR fieldwork

0 / 26 items ready (0%)

Remember: You CANNOT take fieldwork notes into the exam. Make sure you can recall all these details from memory!

Title & Location
Hypothesis
Data Collection
Risk Assessment
Presentation
Results
Conclusion
Evaluation
Exam Timing Calculator

Paper 3: 1 hour 15 minutes (75 min) for 76 marks = ~1 minute per mark

Total Time Used

0:00 / 75:00

Section A: Issue Evaluation

37 marks • ~40 minutes

2-3 mark (2-3 min), 4-6 mark (5-6 min), 9+3 mark (12-15 min)

Section B Q4: Unfamiliar Fieldwork

15 marks • ~17 minutes

Applied skills questions

Section B Q5: Your Fieldwork

24 marks • ~23 minutes

Recall and evaluation

Timing Tips:

  • • 9-mark question needs 12-15 minutes (plan 3 min, write 10 min)
  • • Don't spend too long on low-mark questions
  • • Leave 5 minutes at end to check answers
  • • If stuck, move on and return later

Model Answers

Weak vs Strong Answer Comparison

Compare answers to see what makes the difference

Evaluate the effectiveness of the data collection methods used in your physical geography enquiry. (6 marks)

Weak Answer2-3/6

We measured the river which was good because we got data. The tape measure was accurate. We could have done more measurements to improve it.

Issues:
  • Vague - which measurements?
  • Doesn't explain WHY good/effective
  • Generic improvements
  • No specific details
  • No trade-offs acknowledged
Strong Answer6/6

Effective methods: Measuring river width using a tape measure stretched bank-to-bank at water surface was highly effective because the equipment was simple (no training needed), accurate to ±1cm which is acceptable precision for widths ranging 2-12m (<1% error), and quick (30 seconds per site), allowing 6 sites to be measured in one hour. Recording bedload size by randomly selecting 30 pebbles per site and measuring longest axis with ruler provided quantitative data suitable for calculating mean and range, revealing downstream size reduction from 12cm to 3cm that supported Bradshaw model predictions. Less effective methods: Using a float timer to measure velocity was less effective because it only measured surface speed (velocity slower at riverbed due to friction, so surface measurement overestimates mean), wind pushed the float sideways introducing error, and in slow-flowing sections (<0.2m/s) the float took over 5 minutes to travel 10m making tracking difficult. Improvement: A hydroprop flow meter would measure velocity at multiple depths (surface, mid-depth, bed) allowing accurate mean calculation, with digital readout eliminating timing errors. Sample size: 30 pebbles per site was adequate for calculating mean size (standard error <5%) BUT insufficient for detailed size distribution histogram which would require 100+ pebbles. However, time constraints (1 hour fieldwork) limited collection, representing trade-off between detail and feasibility.

Why it works:
  • Specific methods named (tape measure, float timer, 30 pebbles)
  • Explains WHY effective/ineffective
  • Realistic improvements (hydroprop not 'use drones')
  • Quantifies where possible (±1cm, 30 pebbles)
  • Links to results (12cm to 3cm reduction)
  • Acknowledges trade-offs (detail vs time)

Common Mistakes to Avoid

Common Mistakes Checker

Check off mistakes you're confident you won't make (0/14)

Section A
Section B Q4
Section B Q5
Time Management

Test Your Knowledge

Exam Technique Quiz

Question 1 of 5

A hypothesis states 'Pebble size decreases downstream'. Data shows pebbles measured 15cm at source, 8cm at midpoint, and 3cm at mouth. What is the correct conclusion?

Worked Example

Worked Example6 marks

Evaluate the effectiveness of the data collection methods used in your physical geography enquiry. (6 marks)

Key Terms

Conclusion

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Final statement about whether hypothesis was accepted/rejected, supported by evidence from data analysis

Evaluation

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Critical assessment of strengths, weaknesses, and potential improvements to fieldwork methods

Anomaly

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A data point that doesn't fit the expected pattern - must be identified and explained in conclusion

Reliability

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Whether the same results would be obtained if the investigation was repeated using the same methods

Accuracy

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How close measurements are to the true value - affected by equipment precision and human error

Trade-off

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A balance between competing factors - e.g., larger sample improves reliability BUT takes more time