Sampling Types

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Flashcards by chloemockri12, updated more than 1 year ago
chloemockri12
Created by chloemockri12 over 5 years ago
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Definitions and strengths&weaknesses of each sampling method

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What is the definition of opportunity sampling? Taking the sample from people who are available at the time the study is carried out and who fit the required criteria
Name strengths of opportunity sampling 1. Quick and easy way to select participants 2. Economical 3. Less chance of data being withdrawn
Name weaknesses of opportunity sampling 1. Very unrepresentative of target population 2. Biased- researcher may be more likely to choose participants who appear 'helpful' 3. More chance of demand characteristics
What is the definition of volunteer sampling? Consists of participants becoming part of a study because they volunteer in response to an advert
Name strengths of volunteer sampling 1. Easy to recruit participants 2. Economical 3. Less time consuming
Name weaknesses of volunteer sampling 1. More prone to sample bias as only people with compliant personalities may apply 2. Location of advert can affect who volunteers
What is the definition of random sampling? Every member of the population has an equal chance of being allocated for a study
Name strengths of random sampling 1. It should represent the target population 2. Eliminates sampling bias as everyone is a potential candidate
Name weaknesses of random sampling 1. Hard to get the target population as they may not consent after being chosen 2. Difficult to achieve as very time consuming and costly
What is the definition of stratified sampling? The researcher identifies the different categories of people that make up the target population and works out the proportions needed for the sample to be representative
Name strengths of stratified sampling 1. The sample should be highly representative of the target population and thus the researcher can generalize from the results obtained 2. Minimise's risk of sample bias
Name weaknesses of stratified sampling 1. Can be very time consuming as percentage of categories have to be identified and calculated accurately 2. Is unusable when researchers cannot confidently classify every member of the target population into a subgroup
What is the definition of systematic sampling Participants are chosen in an orderly or logical way (every nth person on a list of names.) The chosen data is evenly distributed
Name strengths of systematic sampling 1. Relatively easy to construct, execute, compare and understand - ideal for studies with tighter budgets 2. Less chance for bias as researcher cannot influence who is chosen- randomisation
Name weaknesses of systematic sampling 1. Can be very time consuming 2. Researchers may be able to manipulate their system in order to increase likelihood of a targeted outcome rather than letting random data produce a representative answer
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