Sampling methods Flashcards
What are target populations
the population intended to be studied. Generalised to this population
What are sampling frames
Individuals from target population who can be selected as part of the sample. Should represent the target population
Opportunity sampling
When researchers get hold if the first people conveniently available to them from the sampling frame to do the research
+ of Opportunity sampling
Quick and easy to obtain a sample
- of Opportunity sampling
Not fair since not everyone has equal chance of being selected. Bias is inevitable as sample drawn from a small part of target population
Random sample
Fairest method as all members have equal chance of being selected. E.g. pulling out random names
+ of Random sample
Fair since everyone has equal chance of being selected, so unbiased
- of Random sample
Possible for a number of people who are chosen to refuse to be part of research
Stratified sample
Choosing groups that need to be represented, to give a fair cross-section of the population then using random sampling within the group. E.g. split school into registration classes and randomly sample 5 from each class
+ of Stratified sample
Ensure that it’s possible to get participants that represent all parts of the population so it’s more representative than chance sampling
- of Stratified sample
Many of the participants may decide they don’t want to participate
Quota sample
After choosing groups that need to be represented, the researchers choose the individuals who would be most likely to inhibit characteristics of group
+ of Quota sample
Ensure the sample accurately represents all parts of the population, as subgroups are equally represented
- of Quota sample
The biases of the researcher would affect sample
Self selected sample (volunteer)
Researchers advertise to ask participants to take part