quota sample

In other words, a quota sample is not statistically representative of the relevant population.

Opinion polls in Britain are almost always conducted on quota samples.

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

The general idea, using these methods, was to carry on recording until a quota sample of sixteen people in each area had been filled.

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.

None the less, when properly used, the quota sample can avoid the kind of gross errors made by attitude surveys in the past.

Quota Samples: The sample is designed to include a designated number of people with certain specified characteristics.

The major defence pollsters give is that quota samples generally predict the outcome of elections pretty well.

Among the inheritance of this type of survey are procedures known as the quota sample and the attitude questionnaire.

Quota samples are not based on random choice and so they are not statistically objective.

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.

Quota samples are, however, used because the sample can be matched to the objective proportions that are appropriate to the objective of the investigation.