Both being sub-parts of probability sampling, Random sampling differs in the sense as the sample is chosen out of a whole population randomly. whereas cluster sampling is extracted from a population already been selected by the same organization. eg. out of a whole population an area is selected by the management, which is the cluster, and is handed over to you to perform the tests necessary. Stratified sampling on the other hand is extracted according to the the categories the selected sample belongs to. These sectors selected might be on the basis of their nature of work, dealings etc. eg. industrial, commercial, residential and so on.
Convenience sampling or quota sampling
What is the difference between quota sampling and cluster sampling
Quota sampling.
They include: Simple random sampling, Systematic sampling, Stratified sampling, Quota sampling, and Cluster sampling.
judgemental is Pudi lan
Convenience sampling or quota sampling.
The main difference between the quota and stratified sampling is that in the stratified sampling the researcher can not select the individuals to be included in the sample (he doesn't have control over who will be in the simple), but in the quota sampling the researcher has control over who will be in the sample (he can contact certain people and include them in the sample).
Quota sampling involves selecting participants based on specific characteristics to match the proportions found in the population. Researchers set quotas for different categories (e.g., age, gender, income) and then stop sampling once each quota is filled. This method allows for a representative sample even though it is not selected randomly.
1) Simple random sampling 2) Systematic sampling 3) Stratified sampling 4) Cluster sampling 5) Probability proportional to size sampling 6) Matched random sampling 7) Quota sampling 8) Convenience sampling 9) Line-intercept sampling 10) Panel sampling
Answer is Quota sampling. Its one of the method of non-probability sampling.
Some common methods used in conducting research include surveys, experiments, interviews, case studies, and observations. These methods allow researchers to collect data, analyze it, and draw conclusions based on the findings. Researchers often choose the method that best aligns with their research questions and objectives.
cluster sampling, quota sampling, systematic sampling, stratified random sampling which one is correct?