Sampling for Surveys-Quiz 8

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Open the EG DIB dataset in Stata and drop schools with fewer than 20 students.

1. What is the ICC for baseline test scores (total_bl) within schools? Round to the nearest 0.01. *

1 point

2. If you first sample schools and then sample 10 students per school, what is the design effect for total_bl? Round to the nearest 0.01. *

1 point

3. Which of the following has the highest ICC? *

1 point

Hindi baseline scores within schools

Hindi baseline scores within villages

Math baseline scores within schools

Math baseline scores within villages

English baseline scores within schools

English baseline scores within villages

Randomly sample 50 schools with probability proportional to the number of students in the school. Within each selected school, randomly sample 10 students. Pretend for a minute that you used SRS and calculate the mean and standard error of baseline test scores (total_bl) in your sample. Now account for the fact that you first selected schools and then selected students, and recalculate the mean and standard error of total_bl in your sample. Ignore any finite population correction.

4. Which of the following statements is true? *

1 point

mean(SRS) > mean(clustered)

mean(SRS) < mean(clustered)

mean(SRS) = mean(clustered)

Depends on the sample

None of the above

5. Which of the following statements is true? *

1 point

se(SRS) > se(clustered)

se(SRS) < se(clustered)

se(SRS) = se(clustered)

Depends on the sample

None of the above

6. Within the same schools that you sampled before, take a new random sample of 20 students per school. Which of the following statements is true? *

1 point

se(20 per school) < 0.5*se(10 per school)

se(20 per school) = 0.5*se(10 per school)

0.5*se(10 per school) < se(20 per school) < se(10 per school)

se(10 per school) = se(20 per school)

se(20 per school) = 2*se(10 per school)

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