Ordered in a certain way e.g. alphabetically or by age and then every nth person is chosen
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Systematic Sampling: Evaluation
Can give an unbiased sample from large populations
Sometimes systems can mean that popualtions are still biased e.g. it could turn out that every 10th person might all be males under 30
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Quota
Exact rerpresentation of target population but on a smaller scale e.g. If 5% of the target population is left handed then 5% of the sample must be left handed too
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Quota Sampling: Evaluation
Deliberate effort is made to make the sample representative of the target population
Time consuming to calculate proportions and they can still be unrepresentative of the target population due to researcher bias (ask until you get the number you want)
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Random
Gather all participants and chose the same number as the sample by e.g. picking out a hat
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Random Sampling: Evaluation
Provides the best chance of an unbiased, representative sample for large populations
Time consuming to create a list of every single participant with large populations
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Stratified
Group the participants in a certain way e.g. height or age and chose x number from each group to represent your target population
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Stratified Sampling: Evaluation
Deliberate effort is made to make the sample representative of the target population
Time consuming t identify the suitable sub-catagories then choose to make it represnative
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Opportunity
Asking anybody availible and willing to participate e.g. asking people in the street
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Opportunity Sampling: Evaluation
Quick, convinent, and econimical. It is the most commonly used
Very unrepresentative and often includes researcher bias as they wil choose those that seem that they will most likely be helpful
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Self-selected
Putting an advert in e.g. a newspaper and allowing the participants to volunteer themselves. It often has a financial incentive
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Self-selected/Volunteering Sampling: Evalutaion
Convinient and ethical if it includes informed consent
Unrepresentative as it leads to participant bias e.g. only acedenmics will read journals like Newhaven
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Snowball
A small number of participants ask people that they know that you want to study e.g. prostitutes to participate and they too ask others until you get your target population
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Snowball Sampling: Evaluation
Useful way of finding the type of particiant you want e.g. prostitutes that may not volunteer to participate otherwise
Can be biased people, people with friends are most likely to be selected. Some people may not want to be found by psychologist
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Event
Have a list of certain behaviours you want to observe e.g. punching the wall and make a tally chart to record the number of times it occurs
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Time
Looking for certain behaviours e.g. shouting at another person but only recording it every nth minute
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