Samples are selected using sampling techniques that aim to produce representative samples
random sample:
were all participants have an equal chance of being selected
Strength: free from researcher bias
Weakness: time consuming and difficult to conduct
Systematic sample
every nth member of a target population is selected and a sampling frame is produced
Strengths: avoids researcher bias
Weakness: also difficult to achieve/ time consuming
Stratified sample
the researchers identifies the different types of people that make up the target population and work out the proportion needed for sample to be representative
Strength: avoids researcher bias and is representative of population
Weakness: is not perfect
Opportunity sample
those people who are avalible at the time and willing to participate
Strength: quick and convenient
Weakness: unrepresentative of target population, researcher bias
Volunteer sample
participants put themselves forward to be a part of the sample
Strength: less time consuming
Weakness: volunteer bias
Random sample
Strength
free from researcher bias
random sample:
Weakness
time consuming and difficult to conduct
Systematic sample
Strengths: avoids researcher bias
Weakness: also difficult to achieve/ time consuming
Stratified sample
Strength: avoids researcher bias and is representative of population
Weakness: is not perfect
Opportunity sample
Strength: quick and convenient
Weakness: unrepresentative of target population, researcher bias