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random sampling
Ps are selected using a random number technique
All members are identified (sampling frame) and then the individuals are selected by getting a computer to generate random numbers
Stratified sample
Sub-groups (strata) within a population are identified (e.g. different age groups)
Then a pre-determined number of Ps are selected from each strata in proportion to their representation in the target population
volunteer sample
Ps are selected by asking for volunteers in an advertisement or local/national newspaper
Opportunity sample
Ps are selected by using those people who are most easily available
e.g. people walking around a town centre
Systematic sample
Ps are selected by following a rule
e.g. every 5th person who walks past you
Benefits of random sampling
Representative
Findings can be generalised
Researchers preferences don’t influence who takes part
Disadvantages of random sampling
sometimes very difficult to get a sampling frame
takes effort and time
those who you ask may decline
sample is not guaranteed to be representative
How to take a stratified sample

Benefits of stratified sampling
they are substantially unbiased
more likely to be representative
Disadvantages of stratified sampling
you have to have a detailed knowledge of the characteristics of the population in order to study them
very slow process
Advantages of systematic sampling
it is largely unbiased
useful in field experiments
Disadvantages of systematic sampling
it is not truly random
everyone in the population does not have an equal chance of appearing in the sample
Advantages of opportunistic and volunteer samples
you can easily target specific groups or types of people
P dropout will be less as they want to participate
ethical issues around consent are lowered
quick and easy
Disadvantages of opportunistic and volunteer samples
biased and unrepresentative
can’t generalise
not typical
greater demand characteristics?