1.3 Non-random Sampling Flashcards
What is a quota
Population divided into groups according to characteristics
A quota of items in each group is set to try & reflect the group’s proportion in the whole population (quotas are calculated in same way as stratified sampling)
Interviewer selects the actual sampling units until the quotas are reached
(once a quota is full, ignore subsequent sampling units that also meet the characteristic)
Advantage of a quota
- Allows the sample to be representative of population
- No sampling frame required, which can be difficult or impossible to obtain in some situations
- Relatively quick, easy & inexpensive to administer
Disadvantages of a quota
- Non-random so likely to be biased
- Population must be divided into groups, which can be costly or inaccurate
- Can depend on knowledge/expertise of researcher
What is opportunity/convenience sampling
Participants are selected based on thier availability & accessibility to the researcher. In this method, the researcher chooses individuals who are available at the time, rather than selecting them at random or based on any specific characteristics of the population
eg. researcher might choose participants walking by in a public space or students in particular class
Advantage of opportunity sampling
- No sampling frame required, which can be difficult or impossible to obtain in some situations
- Easy & inexpensive to administer
Disadvantages of opportunity sampling
- Non-random so likely to be biased
- Unlikely to provide a representative sample
- Highly dependent on individual researcher
Full marks layout for quota questions
- Add up all elements to create total pop ___ + ___ + ___ = P
- 1st element/P all multiplied by sample asked for
repeat for all elements - The researcher selects and [context of Q] the [items] until the quotas of ___ [trout eg], ___ [bass], ___ [pike] have been filled. Ignore any subsequent [items] once a quota is full