identify the name of the sampling design used. (c) You want to find out the atti
ID: 3256674 • Letter: I
Question
identify the name of the sampling design used.
(c) You want to find out the attitudes of students on your campus about immigration. To do this, you think it is important to sample students who are from every region of the country as well as foreign students. Your student body of 10,000 students is made up of 8,000 – West; 1,000 – East; 500 – Midwest; 300 – South; 200 – Foreign. To make sure that you get some students from each group, you divide the students into these five groups, and then select the same percentage of students from each group using a simple random sampling method, with overall sample size of 500 students.
Explanation / Answer
c) this is example of Stratified random sampling:
Stratified random sampling: Each unit in the population is identified, and each unit has a known, non-zero chance of being in the sample. This is used when the researcher knows that the population has sub-groups (strata) that are of interest.
if you wanted to find out the attitudes of students on your campus about immigration, you may want to be sure to sample students who are from every region of the country as well as foreign students. Say your student body of 10,000 students is made up of 8,000 - West; 1,000 - East; 500 - Midwest; 300 - South; 200 - Foreign.
If you select a simple random sample of 500 students, you might not get any from the Midwest, South, or Foreign. To make sure that you get some students from each group, you can divide the students into these five groups, and then select the same percentage of students from each group using a simple random sampling method. This is proportional stratified random sampling.
However, you may still have too few of some types of students. Instead, you may divide students into the five groups and then select the same number of students from each group using a simple random sampling method. This is disproportionate stratified random sampling. This allows you to have enough students in each sub-group so that you can perform some meaningful statistical analyses of the attitudes of students in each sub-group. In order to say something about the attitudes of the total student population of the university, however, you will have to apply weights to the findings for each sub-group, proportional to its presence in the total student body
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