sampling Flashcards
what is random sampling?
Every member of the target
population is identified and
the sample is randomly
selected.
pros and cons random sampling
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.
what is systematic sampling?
Every Nth person (e.g. 10th,
15th, 25th…) is selected from
a register, phonebook, etc.
pros and cons of systematic
- 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.
what is stratified sampling?
A subgroup within the
population is identified (e.g.
gender or ethnic origin).
Participants are obtained in
proportion to their
occurrence within the
population.
pros and cons of stratified
- 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.
what is opportunity sampling?
Selecting participants who are available and willing to take part.
pros and cons of opportunity
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.
what is volunteer sampling?
Participants self‐select by
responding to an advert.
They offer to take part.
pros and cons of volunteer
- 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.