quota sampling

In quota sampling the selection of the sample is non-random.

Quota sampling, intelligently used, can deal with these difficulties reasonably effectively.

Quota sampling is widely used in market research as it is cost-effective.

Quota sampling is a method for selecting survey participants.

But 1948 was the last Presidential election in which the polls used the now-discredited method of quota sampling.

An experiment was conducted as part of the fieldwork to contrast random and quota sampling.

Compare and contrast random and quota sampling methods in market research.

These polls are carried out using quota sampling.

However, as quota sampling methods became more widely used much greater levels of accuracy were routinely achieved.

Quota sampling is like stratified sampling, but with an important variation.

In quota sampling, there is non-random sample selection and this can be unreliable.

Quota sampling is the non probability version of stratified sampling.

In 1948, they used quota sampling, where interviewers were told to find so many young white men, so many elderly black women, and so on.

Quota sampling has the attraction of being easier, quicker and cheaper than actual house-to-house calls but there are distinct limitations which reduce its value.

So during an election the pollsters work not with random sampling but with 'quota sampling'.

Although systematic and quota sampling provide samples that are not truly random, they can be used in circumstances where no sampling frame exists.

In the 1930's most pollsters used quota sampling, in which interviewers are asked to find and question certain numbers of people who match various profiles.

The method is not statistically valid, but is viable in the same way as quota sampling, in that it may be based on objective proportions.

A variation on quota sampling is the "judgement" sample, which is based on objective proportions within industrial markets.

Q10 Why is quota sampling used in survey research extensively, in preference to the theoretically superior random sampling?

Moreover, it is possible to incorporate elements of randomness into quota sampling by rejecting numbers of possible respondents according to a random sequence.

In quota sampling, a population is first segmented into mutually exclusive sub-groups, just as in stratified sampling.

Nonprobability sampling methods include accidental sampling, quota sampling and purposive sampling.

One snag is that some statistical tests, especially calculations of sample error, cannot be made on quota sampling because they are not based on random sampling.

With their talk of quota sampling and other such bosh, they hold the politicians spellbound, and strut in the tawdry glow of reflected power.