The difference between Quota & Stratified sampling?

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caitcharlotte
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Hey, I really can't get my head around the difference between quota & stratified sampling help!?
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Maicccccmannnn
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(Original post by cchalfpenny)
Hey, I really can't get my head around the difference between quota & stratified sampling help!?
Stratified sample = a sample including each sub category of the target population

So for example, if your target population is Birmingham University students, each sub category would include each University degree; English students, Law students, Psychology students, Engineering students, Mathematics students etc.

Quota sample = a sample including a pre determined % of each sub category of the target population

So for example, if your target population is Birmingham University students, each sub category would have an assigned required %; 10% of English students, 20% of Law students, 5% of Psychology students, 5% of Engineering students and 60% of Mathematics students.

So a stratified sample is a sample including each sub category of a target population, whilst a quote sample determines what % of each sub category of the target population is required.

In practice, there used together. That is because it's impractical to ever use 100% of each sub category of the target population.

Quote me if you need any further clarification.
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EddyDaly
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Does that mean a quota sample is a sample on the market segment in relation to how big that market segment is in the market and stratified sampling is just sampling based on how many market segments there are in the market?
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reagan1
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**** sampling
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German123
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(Original post by cchalfpenny)
Hey, I really can't get my head around the difference between quota & stratified sampling help!?
http://www.hegartymaths.com/gcse/ede...ified-sampling
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newguy101
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Fantastic
thank you
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Hah993
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Still no offer from Bristol, Comp Sci and Maths. Hurts .
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ismail.peerbocus
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what if they are the same percentages?
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GiveMeCoffee4
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(Original post by ismail.peerbocus)
what if they are the same percentages?
They may be, for example if gender is the variable, both should lead to 50:50. Stratified samples are normally more reliable, as the exact proportions are accounted for, wheras quota may not be. For example, you have race as a variable, and do 25 Carribean, 25 Asian, 25 Latino and 25 White, this may be different than the actual ratios. The stratified may be more like this: 18 Carribean, 7 Asian, 12 Latino, 63 White. The proportions mean that the stratified sample is more representative.
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