sampling methods Flashcards

1
Q

what are the 4 sampling methods

A

random
stratified
volunteer
opportunity

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2
Q

what is random sampling

A

placed into a system that would enable members of target population to be picked with equal chance of being selected

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3
Q

what are the strengths of random sampling

A

+ for large samples it provides the best chance of unbiased representative samples due to equal chance
+ clear to everyone how sample is being chosen

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4
Q

what are the weaknesses of random sampling

A
  • time consuming to make list of everyone, not everyone may be available causing bias
  • can still be bias even though equal chance
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5
Q

what is stratiffied sampling

A

divide target population into sub categories in proportion to subgroup frequency

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6
Q

what are the strengths of stratified sampling

A

+ each group is represented so conclusions can be drawn
+ limits numbers of pts needed to be representative

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7
Q

what are the weaknesses of stratified sampling

A
  • difficult to know how many of each group to choose to make findings generalisable
  • time consuming for proportions to be calculated
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8
Q

what is volunteer sampling

A

advertise research for people to respond to, to take part in research and become participants

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9
Q

what are the strengths of volunteer sampling

A

+ pts intrested and less likely to gived biased info, demand characteristics and social desirability reduced
+ more ethical than other methods as pts come to researcher

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10
Q

what are the weaknesses of volunteer sampling

A
  • unrepresentative as it leads to bias on the part of the participant
  • sample bias, pts highly motivated, take time for volunteers to apply
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11
Q

what is opportunity sampling

A

selecting people avaliable at time and in location of research

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12
Q

what are the strengths of opportunity sampling

A

+ more quick covenient and economical than other methods, research has control
+ more ethical, research can judge if pts are going to be upset or busy

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13
Q

what are the weaknesses of opportunity sampling

A
  • very unrepresentative researcher mre likely to chose ‘helpful’ pts, small subgroups of target population
  • researcher bias, ask certain types of people to take part
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