Appendix 2 3, 4, 8; 9GE0/04 - Human fieldwork, interviews and ethical collection
Learn how counts, surveys, interviews and observation reveal different aspects of human geography, and how consent, sampling and representation influence the evidence you collect.
Counts, land use and spatial context
Human field observations become geographical evidence when they are connected to defined locations, populations and observation periods.
A pedestrian count can record people crossing a defined line in a stated direction and duration. Decide how repeat crossings, groups and partial intervals are handled, and keep the procedure consistent. Counts represent movements, not necessarily unique people or residents. A high count may reflect a transport interchange, school finishing time or an event, so record land use and timing rather than immediately interpret it as greater prosperity.
If time is in minutes, the rate is crossings per minute. Counts must use equivalent definitions; a rate comparison alone does not remove different time-of-day conditions.
For fictional training observations, Site A records 36 crossings in 12 minutes, so its rate is 3.0 crossings per minute. Site B records 40 in 10 minutes, giving 4.0 crossings per minute. Comparing raw totals would understate the rate contrast. Yet if A was observed before shops opened and B at lunchtime, timing is a possible explanation. Equivalent periods and justified repeats would improve the comparison.
A land-use survey assigns mapped units to defined categories. State whether a unit is a whole building, ground-floor premises or a parcel of land. Agree how mixed use, closed premises and unclear cases are recorded; “closed today” is not automatically “vacant.” Geolocate records on a consistent base map and note observation date. Secondary planning records may help contextualise observations, but must be selected independently for the actual investigation and may use different boundaries or classifications.
Choose an approved safe observation position and respect access restrictions. Record aggregate movement without unnecessary identifiers. These general methods and all fictional illustrations are learning material, not a prepared design or data for your own NEA.
Environmental quality as an indicator
An environmental quality survey records defined features of a place, but its categories and scores also embody the observer's choices about what matters.
Use observable criteria such as litter presence, maintained surfaces or noise observations, with clear anchors for each score. “Very nice” and “bad” leave collectors to apply different personal standards. Training and a pilot can reveal disagreement; record differences and refine definitions before the main survey. More consistent scores improve reliability, but the instrument still measures only its chosen features.
Ordinal data
Data arranged in an order without necessarily having equal intervals between categories. A score from 1 to 5 may rank conditions without proving that the improvement from 1 to 2 equals that from 4 to 5.
For a fictional instrument, noise and litter are scored from 1, least favourable, to 5, most favourable. At one site they score 2 and 4. Adding them gives 6, but this composite assumes an equal weighting and treats category steps as comparable. Doubling the noise weight gives , on a different total scale. It does not establish that the place is objectively “two units better.” State and justify any weighting or numerical treatment, and retain the component scores so a total does not conceal different conditions.
The criteria may favour some experiences over others. A lively market can be noisy yet valued for employment and social interaction; a quiet area can be inaccessible. Resident interviews can help reveal what the score overlooks, but their views are another kind of evidence rather than a correction that produces one unquestionable score. Distinguish observed conditions, collector judgements and participant meanings.
Compare sites under comparable weather and times where possible, and record exceptions. A repeated score cannot remove a systematic difference in who scored each area or how the categories were interpreted. Explain the instrument's scope before drawing conclusions about belonging, deprivation or overall quality of life.
Questionnaires and the people they reach
A questionnaire can compare reported views when its wording, response choices and sampling population match the enquiry.
Closed questions produce categories that are easier to compare, but their options constrain answers. Open questions allow unanticipated reasons, though they take longer and need careful interpretation. Ask one clear issue at a time and avoid leading wording. “How has the excellent new park improved your life?” assumes both excellence and improvement. A neutral training version asks about the respondent's experience of change and allows no change, worse conditions or uncertainty. This is wording practice, not a question prescribed for a particular learner's investigation.
Pilot the instrument for comprehension, length and acceptable language. Keep a consistent introduction and record the version used. Appropriate language support or accessible formats can widen participation; otherwise an apparently geographical difference may partly reflect who could understand or access the questionnaire. Do not assume that age, ethnicity or residence can be accurately inferred from appearance.
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