sampling Flashcards

1
Q

what is random sampling?

A

Every member of the target
population is identified and
the sample is randomly
selected.

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2
Q

pros and cons random sampling

A

Likely to be representative so
can be generalised to the
target population.
- Difficult and time consuming
to get the full details of the
target population.
- People that are selected may
be unwilling to take part.

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3
Q

what is systematic sampling?

A

Every Nth person (e.g. 10th,
15th, 25th…) is selected from
a register, phonebook, etc.

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4
Q

pros and cons of systematic

A
  • Not subject to researcher bias= without any personal
    preference from the
    researcher = each person is given a number
  • Not truly unbiased as every
    Nth person selected may have
    a similar trait in common and
    therefore will not be
    representative of the wider
    population.
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5
Q

what is stratified sampling?

A

A subgroup within the
population is identified (e.g.
gender or ethnic origin).
Participants are obtained in
proportion to their
occurrence within the
population.

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6
Q

pros and cons of stratified

A
  • Likely to be representative as
    each subsection of the target
    population is proportionally
    represented, so results can be
    generalised to the wider
    population with more
    confidence that they apply.
  • Difficult and time consuming
    to identify subgroups.
  • People that are selected may
    be unwilling to take part.
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7
Q

what is opportunity sampling?

A

Selecting participants who are available and willing to take part.

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8
Q

pros and cons of opportunity

A

Quicker and easier to obtain, in comparison to other methods.
- High chance that sample will
be biased, e.g. often use
available university students,
who are not representative of
the target population.

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9
Q

what is volunteer sampling?

A

Participants self‐select by
responding to an advert.
They offer to take part.

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10
Q

pros and cons of volunteer

A
  • Quicker and easier to obtain, in comparison to other methods.
  • A particular type of person is
    likely to take part in research
    (and also only those who see
    the advert). Therefore, the
    sample is likely to be biased.
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