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Market Research--Sampling (Convenience sampling (just pick people randomly…
Market Research--Sampling
Sampling means to random pick people to ask question and get feedback from it
The sample design highly depends on your size of sampling and it is totally random which can represent a whole group of people(targeted)
Cluster sampling
means to divided a group of people in a cluster and pick some of the cluster and examine the all of the people inside the group
Advantages
Quick and easy
Doesn't need complete population information
Good for face-to-face surveys
Disadvantages
Expensive if the clusters are large
Greater risk of sampling error
Convenience sampling
just pick people randomly
Advantages
Subjects are readily available
Large amounts of information can be gathered quickly
Disadvantages
The sample is not representative of the entire population
Prone to volunteer bias
judgement sampling
pick the sample very seriously
Advantages:
Good for providing illustrative examples or case studies
Disadvantages
Very prone to bias
Samples often small
Cannot extrapolate from sample
Quota sampling
make the sample can be representative of a certain group(often be persentage)
Advantages
Quick and easy way of obtaining a sample
Disadvantages
Not random, so some risk of bias
Need to understand the population to be able to identify the basis of stratification
Simply random sampling
make sure everyone got equal chance to be selected
Disadvantages
Need a complete and accurate population listing
May not be practical if the sample requires lots of small visits over the country
Advantages
Simple to design and interpret
Can calculate both estimate of the population and sampling error
Systematic sampling
after selected a initial number then pick each sample by a certain interval
Advantages
Easier to extract the sample than via simple random
Ensures sample is spread across the population
Disadvantages
Can be costly and time-consuming if the sample is not conveniently located