| oliver at ssc dot wisc dot edu |
Pamela Oliver
Sociology Dept.
1180 Observatory Dr. Madison, Wisconsin
53706-1393
608-262-6829
|
|
Professor
Pamela Oliver
Department
of Sociology
|
|
Sociology 357/8
Pamela Oliver
SAMPLING THEORY EXERCISE
DUE:
This exercise is worth 4% of your grade. It is a small "thought"
exercise to verify that you understand the basic sampling concepts which
are otherwise not tested in this course. You will show your understanding
of these concepts by giving simple examples of them. Do NOT write
long involved explanations; one or two sentences examples for each term
are plenty. In your examples of specific sample types, be sure to indicate
whether choices at each step are made randomly or nonrandomly.
SUBMIT TWO (2) COPIES OF THIS EXERCISE. I will return the original
with comments and save the photocopy. As with the proposition exercise,
this may be re-done to raise your grade, but you will have to invent new
examples. I will also confirm that you have not merely copied the examples
of someone else who previously received a better grade.
- Give an example which clearly shows the meaning of and relationship
among the population of theoretical or substantive interest, the sampling
frame, the sample, and the actual population to which generalizations
may be made. (12 points)
- Give examples which clearly illustrate the difference between haphazard
or accidental sampling and random or probability sampling. (6 points)
- Give examples of simple random sampling and systematic random sampling
from the same population or sampling frame, emphasizing their similarities
and differences. (6 points)
- Give related examples which clearly illustrate the similarities and
differences between stratified random sampling and random cluster sampling,
including a discussion of the circumstances for which each is appropriate.
(6 points)
- Give an example of multistage stratified cluster sampling which clearly
illustrates the key features of this approach and when it is appropriate.
(6 points)
- Give an example of simple quota sampling which clearly illustrates
how it differs from a related example of stratified random sampling.
(6 points)
- Give an example of a nonrandom purposive sample for a case in which
a purposive sample would be appropriate and contrast it with an example
of a mere convenience sample. (6 points)
Top
Questions or Comments? Email Oliver -at- ssc -dot- wisc -dot- edu.
Last updated
December 25, 2004
© University of Wisconsin.
|