sampling Flashcards

1
Q

what is a target population

A

every member of the group the investigator plans to study.

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2
Q

why can’t the whole target population be studied

A

they could contain millions of people

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3
Q

who do researchers conduct their experiments on

A

a smaller sample of participants taken from the larger target population. the results/behaviour of that sample are assumed to apply to all members of the target population

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4
Q

what is generalisation

A

the application of the results from a study, to the wider target population.

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5
Q

what does the generalisability of results depend on

A

how representative the sample is of the target population meaning the sample used in the study shares characteristics with the members of the target population (e.g. gender, ethnicity, age, education level, income level)

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6
Q

what is random sampling

A

each member of the target population has a mathematically equal chance of being in the experimenters sample

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7
Q

what is the procedure of random sampling

A

1) researchers need a full list of the entire target population
2) all names entered into a container (computer database)
3) a number of games equal to the sample required are pulled from the container (the computer is instructed to randomly select the names)
4) the names are selected from the sample

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8
Q

what are the strengths of random sampling

A

a random sample avoids researcher bias as the researcher can not choose the participants they want to form the sample, avoiding the possibility the researcher picks participants they feel are likely to give a preferred result.

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9
Q

what are the weaknesses of random sampling

A

by chance, participants could be pciked that produce an unrepresentative sample. for e.g two few members of one gender or with no members of a minority group. it can be difficult and time consuming to get a full list of a large target population

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10
Q

what is systematic sampling

A

participants are chosen from a list of the target population. every nth participant is chosen to form the sample (e.g. every 5th, 10th or 100th name)

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11
Q

what is the procedure of systematic sampling

A

1) the researcher needs a full list of the entire target population
2) the researcher reads down the list selecting every nth participant to form the sample
3) the process continues until the sample required is chosen

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12
Q

what are the strengths of systematic sampling

A

it avoids researcher bias as the researcher cannot choose the participants they want in their sample.
if there is an existing list of the target population (student registers) it can be a quick method of selecting a sample

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13
Q

what are the weaknesses of systematic sampling

A

by chance this method could result in an unrepresentative sample e.g. too few members of one gender or with no members of a minority group

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14
Q

what is opportunity sampling

A

the researcher directly asks available members of the target population to take part in the research. its likely to be individuals the researcher has easy access to and is familiar with

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15
Q

what is the procedure of opportunity sampling

A

1) researcher directly asks any members from within the target population (that they have access to) to take part in the research
2) any individuals who agree to take part are added to the sample until the number of participants required is met

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16
Q

what are the strengths of opportunity sampling

A

this is the fastest way to get a sample for psychological research reducing the time it takes to conduct research and likely reducing the cost involved compared to more complex sampling methods.

17
Q

what are the weaknesses of opportunity sampling

A

as the researcher decides who to ask and who not to ask to take part this could result in researcher bias meaning the researcher may select participants they are feel are likely to produce a preferred result.
it is unlikely to be representative as the participants chosen are the type of people the researcher has easy access to. for e.g. for research conducted in universities, its likely to be young undergraduate students

18
Q

what is volunteer sampling

A

also known as a self selecting sample. participants offer to take part after finding out about the research. not directly asked by the researcher. likely after seeing an advert or newspaper online

19
Q

what are the procedures for volunteer sampling

A

1) advertisements are placed where they are likely to be seen by members of the target population (e.g. the gym for fitness enthusiasts, the pub for alcoholics)
2) the advert will include details and the researcher will enrol the volunteer into the sample when they are contacted by the volunteer

20
Q

what are the strengths of volunteer sampling

A

advertising for participants can reach a very large number of potential participants, especially if the newspaper or website is widely read
an easy sample to collect as participants are putting themselves forward rather than having to be found individually and contacted directly

21
Q

what are the weaknesses of volunteer sampling

A

the sample may not be generalisable to the target population because of volunteer bias. the types of people who volunteer to take part are likely to have different characteristics to the target population, they are likely to be friendlier and have more free time available

22
Q

what is stratified sampling

A

by selecting participants within strata, the characteristics of participants within the sample are in the same proportion as found within the target population

23
Q

what is the procedure for stratified sampling

A

1) strata/subgroups are identified along with their proportion in the target population (e.g. gender, ethnicity, education level)
2) random sampling is then used to select the number of participants required from within each stratum

24
Q

what are the strengths of stratified sampling

A
  • the sample is representative of the larger target population meaning the results found within the sample should be generalisable to the target population
  • as the participants are randomly chosen from within each stratum, this avoids researcher bias
25
Q

what are the weaknesses of stratified sampling

A
  • not every possible characteristic can be included in a stratified sample and as the researcher decides which strata are important this may result in bias.
  • time consuming to establish strata and then randomly select from each strata