Calculate river discharge
Fictional training exercise. A team measures a permitted shallow reach from a safe platform. The section is simplified as a rectangle.
Fieldwork methods and decisions
Practise choosing sampling methods and explaining the limits of fieldwork data.
Work through an enquiry
- Distinguish the measured outcome from other changing conditions: Variables and controls.
- Check who or what your observations represent: Sampling bias and Sampling methods.
- Keep repeats and missing observations visible: Repeated measurements and Missing data.
- Choose a representation and method: Presentation and Statistical-method choice.
- Match the conclusion to the evidence: Conclusion validity.
Consider consent, access and changing conditions throughout your enquiry.
All resources here are fictional training exercises. They do not count as required fieldwork, design your assessed enquiry or certify a real site as safe.
Choose reliable velocity measurements
Fictional training exercise. A float is timed along the same 5 m reach four times. No student enters the water.
Sample beach material fairly
Fictional training exercise. Three zones have different surface materials. The group wants to compare all zones without choosing conspicuous stones.
Interpret a beach profile
Fictional training exercise. Heights come from a fictional surveyed profile above the same datum.
Separate place from time
Fictional training exercise. The team compares pedestrian use at two sites, but the visits were at different times.
Review a questionnaire sample
Fictional training exercise. A survey about a proposed town-centre cycle lane collects responses at a cycle shop.
Make environmental scores comparable
Fictional training exercise. Two observers rate litter on a five-point scale. Higher scores mean less litter.
Control an infiltration comparison
Fictional training exercise. Equal volumes of water are applied inside the same ring, under permission, in comparable safe sites.
Check a temperature comparison
Fictional training exercise. Sensors of the same model are placed at three sites. One is in direct sun against a dark wall.
Choose a spatial sampling design
Fictional training exercise. The question concerns vegetation change with distance from a regularly used footpath.
Report missing field data
Fictional training exercise. A damaged counter failed at one of four sites.
Compare like with like
Fictional training exercise. Two sources describe flood losses in fictional districts.
Interpret correlation cautiously
Fictional training exercise. Each pair represents a different fictional street measured during the same time window.
Make a fieldwork risk decision
Fictional training exercise. A planned channel measurement follows heavy rain. A local warning is active.
Separate variables from controls
Fictional general training exercise. Two sensors use the same shield and height, but the measurements were taken at different times. The team asks whether tree cover explains the temperature difference.
Investigate sampling bias
Fictional general training exercise. A fictional survey asks about cycle-lane support. Responses are voluntary and no names are recorded.
Use repeated measurements
Fictional general training exercise. A permitted fictional exercise times floats along the same measured reach from a safe platform. The third observation records a possible obstruction. The data are for classroom methods training.
Treat missing observations honestly
Fictional general training exercise. The team uses the same pebble-axis rule at each site. Site C has no valid reading. There is no evidence that its value was zero.
Interpret measurement uncertainty
Fictional general training exercise. The marker and survey line are the same. The stated ±2 m is a conservative uncertainty bound for each reading, not a probability distribution.
Choose a useful representation
Fictional general training exercise. Distances and widths are quantitative paired observations at four fictional sites. The small decrease at site 3 is part of the observations, not an error inserted to be removed.
Test the scope of a conclusion
Fictional general training exercise. The fictional observations compare two locations, but also compare different days and times. The team did not count at both sites in matching windows.
Handle consent and unsafe conditions
Fictional general training exercise. Two fictional situations arise during supervised methods training. An online task cannot approve a real site or replace a centre’s risk procedure.
No matches. Try a place, topic or skill.
Read the rules for NEA and AI assistance
Try the fieldwork clinic
Practise question focus, explanations and evidence with a short original activity.