MET Sampling Flashcards

1
Q

Population definition

A

Who the study is about and who the results apply to
Who the sample is chosen from

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2
Q

Sample definition

A

People who take part in a study - the participants

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3
Q

What should participants be?

A

Representative of the population

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4
Q

What is a representative sample? What does this mean the results are?

A

Consists of a selection of typical members of the population

Generalisable - what is true of sample is true of population

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5
Q

What is a biased sample?

A

Over or under represents certain groups or characteristics
Not representative of population
Results cannot be generalised to population

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6
Q

What is random sampling? What is quasi-random sampling? What two random sampling techniques are there?

A

Process of choosing participants involves only random process

Quasi-random sampling includes stratified and systematic sampling - because the pps are obtained from a list not the full actual population

Computer method - allocate each name a number, use a randomised program to select N numbers, pps are those numers are chosen
Manual method - put each name on paper in container, choose N pieces of paper, pps are those whose names are chosen

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7
Q

Strengths and limitations of random sampling

A

Strengths - best probability of representative sample, taking choice out of researcher’s control eliminates bias

Limitations - sample could be unrepresentative of some groups by chance / random error

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8
Q

What is stratified sampling?

A

Sampling population identified, appropriate strata/groups divide sample, proportions needed for representative group identified, random sampling used to choose the appropriate N from each strata

Strata used should be ones that might affect results

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9
Q

What is systematic sampling?

A

Specify population, identify sampling population
Work out proportion of sampling population for N
Choose every nth member of the sample

Commonly done to avoid time-consuming random sampling, or awkward practical issues such as fast cars going past

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10
Q

What is opportunity sampling?

A

Use whoever is available
For example - Unis - use own students

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11
Q

What is volunteer sampling?

A

Recruit via advertisements online/public places
Volunteers come forward

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12
Q

Strengths and limitations of stratified sampling

A

Strengths - more likely to be representative

Limitations - time consuming

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13
Q

Strengths and limitations of systematic sampling

A

Strengths - more practical than random, likely to be representative

Limitations - small chance of systematic error

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14
Q

Strengths and limitations of opportunity and volunteer sampling

A

Strengths - less time consuming, no need for sampling population

Limitations - less likely to representative, especially volunteers as they are more likely to be parts of certain groups or have certain characteristics

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