PSYB01H3 Lecture Notes - Lecture 6: Latin Square, Repeated Measures Design, Cortisol
Document Summary
Surveys are trying to get a representative sample (so that it can be generalized to the greater population) A population is the entire pool from which a sample is drawn: a population in this sense is not everyone who lives in a particular place, sampling unit usually a person. Can be an organization, group, item, group of items, etc: sampling frame optimally, will be the same as the population. Probability samples: there is an equal probability of each person being drawn (ex. Opinion polls: should use probability samples if you want to get better results, random; everyone in the population has an equal chance at selection. Random in science still has strategy, it is not haphazard, still planful, but there is no set system in regards to how the selection will take place: type: stratified samples. Needs a certain number of people from each group in a population: type: cluster samples.
