Sampling: Random vs Convenience
Info sheet · Statistics for Psychology & Neuroscience
Warning✎ Editing notes — to do / to check
Working notes for the author — not shown to students once collapsed; remove before publishing.
What you’ll get from this sheet
By the end you should be able to:
- Distinguish random, stratified, and convenience sampling.
- Say how the sampling method limits what you can generalise to.
Who you measure decides what you can conclude: a random sample supports generalisation to the population; a convenience sample (whoever’s easy to reach) risks bias you can’t undo with statistics.
[Main idea]
TODO — write the core explanation in transcript voice.
[Interactive demo]
TODO — native <input> + string-built SVG / OJS widget (see any built sheet for the pattern).
See it in code
# TODO# TODO
TipCheck your understanding
TODO — a short question.
TODO — the worked answer.
TODO — a common mistake and how to avoid it.
Where this shows up next
TODO — link to the relevant book chapter.