Every single member of the target population has an equal chance of being selected
Stratified sampling
The percentage of each subgroup present within the target population is calculated and then replicated within the sample, participants chosen randomly, it is extremely representative
Snowball sampling
Where participants that are selected from the study recruit other participants, allows researchers to have a large sample and more of the target population than they would have had otherwise, but may be susceptible to bias
Opportunity sampling
A researcher gathers a sample from a group that already exists (e.g. a church congregation), convenient for the researcher, but may not be representative
Volunteer sampling
Participants self select themselves for the sample, through advertisement or other means, is not representative and susceptible to sampling bias as not all subgroups will wish to volunteer to be a part of the study
Systematic sampling
Every nth person from the target population is selected, is fairly representative as every member of the target population has a chance of being selected, and may be representative, but is very complex to obtain
WEIRD sampling
A western, educated, Industrialised, rich, and Democratic sample, many non-representative samples are WEIRD, which are not generalisable
Purposive sampling
Participants are selected based on specific attributes relating to the study, they are not fully representative as particular subgroups will not be present in the study,