Sampling methods Flashcards

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1
Q

What are target populations

A

the population intended to be studied. Generalised to this population

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2
Q

What are sampling frames

A

Individuals from target population who can be selected as part of the sample. Should represent the target population

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3
Q

Opportunity sampling

A

When researchers get hold if the first people conveniently available to them from the sampling frame to do the research

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4
Q

+ of Opportunity sampling

A

Quick and easy to obtain a sample

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5
Q
  • of Opportunity sampling
A

Not fair since not everyone has equal chance of being selected. Bias is inevitable as sample drawn from a small part of target population

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6
Q

Random sample

A

Fairest method as all members have equal chance of being selected. E.g. pulling out random names

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7
Q

+ of Random sample

A

Fair since everyone has equal chance of being selected, so unbiased

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8
Q
  • of Random sample
A

Possible for a number of people who are chosen to refuse to be part of research

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9
Q

Stratified sample

A

Choosing groups that need to be represented, to give a fair cross-section of the population then using random sampling within the group. E.g. split school into registration classes and randomly sample 5 from each class

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10
Q

+ of Stratified sample

A

Ensure that it’s possible to get participants that represent all parts of the population so it’s more representative than chance sampling

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11
Q
  • of Stratified sample
A

Many of the participants may decide they don’t want to participate

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12
Q

Quota sample

A

After choosing groups that need to be represented, the researchers choose the individuals who would be most likely to inhibit characteristics of group

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13
Q

+ of Quota sample

A

Ensure the sample accurately represents all parts of the population, as subgroups are equally represented

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14
Q
  • of Quota sample
A

The biases of the researcher would affect sample

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15
Q

Self selected sample (volunteer)

A

Researchers advertise to ask participants to take part

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16
Q

+ of Self selected sample (volunteer)

A

Everyone willing to take part in research because they know the aim of research in advance

17
Q
  • of Self selected sample (volunteer)
A

Only 1 particular type of person is willing to volunteer therefore results of experiment wouldn’t be true for entire population. Sample therefore biased

18
Q

Systematic sample

A

Obtain sample representative of entire population: not random. E.g. select every 10th individual on the register

19
Q

+ of Systematic sample

A

Ensure that it’s possible to get participants to represent all parts of the population. Unbiased, due to objective system used to select participants

20
Q
  • of Systematic sample
A

Not a random sample, so greater probability that some will be selected rather than others

21
Q

Snowball sampling

A

Psychologists find participants then ask these participants to find more people willing to take part in sample

22
Q

+ of Snowball sampling

A

Possible to obtain specialist sample where it would be very difficult using other method

23
Q
  • of Snowball sampling
A

Sample all very similar and may know each other, so don’t fully represent the target population

24
Q

What are observational sampling techniques

A

Researcher will record the behaviour/events he observes to ensure there is no observer bias. E.g. sample event and time sampling

25
Q

Sample event

A

An observational sampling technique, where psychologist who wants to record a specific behaviour will observe participants. Behaviour recorded each time it occurs to create a total score

26
Q

+ of Sample event

A

Every event that is relebant is recorded

27
Q
  • of Sample event
A

All other events/behaviours ignored

28
Q

Time sampling

A

Observational sampling technique where psychologists will record the behaviour/events they see at specific times. E.g. every 10 minutes

29
Q

+ of Time sampling

A

Less likely to show researcher bias since all behaviour at specific times is measures

30
Q
  • of Time sampling
A

Can miss lots of important events as it ignores times where it doesn’t measure