Fichas
Sampling Types
Fichas del conjunto (15)
- 1What 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
- 2Name strengths of opportunity sampling1. Quick and easy way to select participants
2. Economical
3. Less chance of data being withdrawn - 3Name weaknesses of opportunity sampling1. Very unrepresentative of target population
2. Biased- researcher may be more likely to choose participants who appear 'helpful'
3. More chance of demand characteristics - 4What is the definition of volunteer sampling?Consists of participants becoming part of a study because they volunteer in response to an advert
- 5Name strengths of volunteer sampling1. Easy to recruit participants
2. Economical
3. Less time consuming - 6Name weaknesses of volunteer sampling1. More prone to sample bias as only people with compliant personalities may apply
2. Location of advert can affect who volunteers - 7What is the definition of random sampling?Every member of the population has an equal chance of being allocated for a study
- 8Name strengths of random sampling1. It should represent the target population
2. Eliminates sampling bias as everyone is a potential candidate - 9Name weaknesses of random sampling1. Hard to get the target population as they may not consent after being chosen
2. Difficult to achieve as very time consuming and costly - 10What 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
- 11Name strengths of stratified sampling1. 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 - 12Name weaknesses of stratified sampling1. 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 - 13What is the definition of systematic samplingParticipants are chosen in an orderly or logical way (every nth person on a list of names.) The chosen data is evenly distributed
- 14Name strengths of systematic sampling1. 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 - 15Name weaknesses of systematic sampling1. 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
Información
- Descripción
- Definitions and strengths&weaknesses of each sampling method
- Creado por
- chloemockri12
- Visitas
- 14
- Valoración