sampling

• research needs to be as representative as possible the sample 'looks like' the target population
• random sampling:each person in the target population has an equal chance of being selected,chosen by chance
• systematic sampling:sample is chosen from a list at an interval e.g. picking every 6th name from a register.
• stratified sampling:the target population is sorted into categories,then randomly chosen from those categories in a way that represents how large that group is.
• snowball sampling:the researcher finds one person who they know,that person then introduces them to another and so on.
• quota sampling:researchers go and find people who fit what they are looking for.