Sampling Methods Flashcards
Samples selected without bias from a list of the entire target population
Random
Stratified
Systematic
Samples selected with the potential for bias
Opportunity and volunteer sampling
Random sampling strength h
a strength is that it can often generate a sample with high population validity
Which is when the results can be successfully generalised to the target population, increasing the external validity of research
As each member of the target population has an equal chance of being selected, the sample is likely to be highly representative
Random sampling strength l
a strength is that it has low experimenter bias
Which is when the experimenter doesn’t show unintentional bias in the selection of the participants, increasing the internal validity of research
This is because the researcher doesn’t actively choose individuals as participants are selected in an unbiased manner
Random sampling
A sample generated by identifying a list of the entire target population and randomly selecting participants from this list (in an unbiased way)
The names of the entire target population can be put into a hat and drawn at random; alternatively, names could be randomly generated using a computer database
Therefore, each member of the target population has an equal chance of being selected
Random sampling limitation h
Limitation is that it may not always generate a sample with high population validity
Which is extent to which results can be successfully generalised to the target population
Although the selection of participants is unbiased, the actual sample may be biased in some way if only one type of person is selected
For example, by chance only female participants may be selected from a group of males and females, meaning the sample may not be representative of the population
Stratified sampling strength h
a strength is that it can often generate a sample with high population validity
Which is when the results can be successfully generalised to the target population, increasing the external validity of research
This is because an effort has been made to ensure the sample reflects the make-up of the target population, meaning the sample is likely to be highly representative
Stratified sampling strength l
a strength is that it has low experimenter bias
Which is when the experimenter cannot show intentional bias in the selection of participants, increasing the internal validity of research
Although the experimenter identifies strata in the target population, he doesn’t actively choose individuals, and participants are still selected in an unbiased manner
Random sampling limitation i
It is impractical,
As the full list of the target population may be difficult or impossible to obtain
For example, it may be difficult or impossible to define a complete list of all schizophrenics, meaning the sample drawn may be biased and this method cannot be used to study behaviour where no list of the target population exists
Stratified sampling
A sample generated by identifying a list of the entire target population as well as the characteristics which are important to the research (e.g. gender) before randomly selecting a ration that reflects these groups (or strata)
If the target population is 40% female and 60% male, participants are drawn randomly until they reach this ratio, so the sample is representative of the structure of the target population
Stratified sampling limitation h
Limitation is that it may not always generate a sample with high population validity
Which is the extent it which results can be successfully generalised to the target population
Although the selection of participants reflects the known strata of the target population, the actual sample may still be biased if only participants with can unknown characteristic are selected
Systematic sampling strength h
a strength is that it can often generate a sample with high population validity
Which is when the results can be successfully generalised to the target population, increasing the external validity of research
This is because the sample will shown an unbiased representation of the target population, meaning the sample is likely to be highly representative
Systematic sampling strength l
a strength is that it provides low experimenter bias
Which is when the experimenter cannot show unintentional bias in the selection of participants, increasing the internal validity of research
Although the experimenter identifies every nth person from the target population, they don’t actively choose individuals, and participants are still selected in an unbiased manner
Stratified sampling limitation d
Limitation is that it is difficult and time consuming to achieve
This is because it is challenging to fully identify the characteristics of the target population that are important to the research
For example, whilst some characteristics (like gender) are easy to identify, others (like IQ) are hidden and difficult to define and this method cannot be used to study behaviour where no list of the target population exists
Systematic sampling
A sample generated by identifying a list of the entire target population before specifically selecting every nth participant
For example, if there are 100 people in the target population and a sample of 20 is required, psychologists would select every 5th person from the list (100/20=5)