what is the difference between stratified sampling and deliberate sampling ?
Answers
Answer:
The main difference between stratified sampling and cluster sampling is that with cluster sampling, you have natural groups separating your population. ... In stratified sampling, a sample is drawn from each strata (using a random sampling method like simple random sampling or systematic sampling)
Answer:
Stratified Sampling:
In stratified sampling, a sample is drawn from each strata (using a random sampling method like simple random sampling or systematic sampling). In the image below, let's say you need a sample size of 6. Two members from each group (yellow, red, and blue) are selected randomly. Make sure to sample proportionally: In this simple example, 1/3 of each group (2/6 yellow, 2/6 red and 2/6 blue) has been sampled. If you have one group that's a different size, make sure to adjust your proportions. For example, if you had 9 yellow, 3 red and 3 blue, a 5-item sample would consist of 3/9 yellow (i.e. one third), 1/3 red and 1/3 blue.
Deliberate Sampling:
A purposive sample is where a researcher selects a sample based on their knowledge about the study and population. The participants are selected based on the purpose of the sample, hence the name. Participants are selected according to the needs of the study (hence the alternate name, deliberate sampling); applicants who do not meet the profile are rejected. For example, you may be conducting a study on why high school students choose community college over university. You might canvas high school students and your first question would be “Are you planning to attend college?” People who answer “No,” would be excluded from the study.