Fieldwork That Answers a Question
Good fieldwork starts with a question you could be wrong about, and a plan for where and how often to measure. Everything after that is deciding what would count as an answer.
What a learner can do afterwards
- Turn a vague interest into a question that data could settle
- Choose a sampling method and justify it against the alternatives for that site
- Identify two things about your method that could bias the result, and say how you would reduce each
1 · Read
Good fieldwork starts with a question that data could settle. Litter on the high street is only a worry until you ask whether it clusters within fifty metres of food shops at lunch. Now you know what to count, where to stand and when, plus what would prove you wrong.
You cannot measure everywhere, so you sample. Random sampling gives every spot a fair chance and dodges your habits. Systematic sampling steps a fixed gap like every tenth metre, which is tidy but can clash with hidden patterns. Stratified sampling splits mixed ground into zones first and samples each.
Choosing is only half the job. You must justify the pick against the alternatives for your site, starting with the words you chose this because. On a patchy riverbank say why zones beat luck, and on a short visit say what fixed steps cost you.
Every method leans, so name two leans and fix each. Counting only on dry days flatters fair weather crowds, safe spots flatter easy ground, and leading questions flatter your hopes. Repeat in rain, randomise stations and pilot the questions.
A countable question, a justified sample and two named biases with fixes turn a day out into fieldwork you can defend.
2 · Watch
Take it off screen
Where it sits
Where this leads
Jobs that lean on this skill. Follow one to see everything it is built on.
8 questions wait behind this lesson, each with its answer explained. Every answer feeds the sky: stars light as they are learned, and dim when it is time to come back.