Friday, March 20, 2009

March 21, 2009, Case Study #2

Assume that you are conducting a study to determine the number of years of education of the
teachers in your college. Here are some situations related to this study.

1. You randomly select two departments and survey each teacher in those departments.
Each department is a naturally occurring subdivision of a college, sharing similar
characteristics. All departments are not surveyed. Which of the sampling techniques will
you use in this situation?

2. Assume that for the survey, you select only the teachers who are instructing you in the
current semester. Which of the sampling techniques will you use in this situation?

3. You categorize the teachers according to their departments and then survey some teachers
in each department. Which of the sampling techniques will you use in this situation?
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15 comments:

  1. karolynMarch 21, 2009 at 9:28 AM

    1.)Cluster Sample

    2.)Convience Sample

    3.)Systematic Sample

    ReplyDelete
  2. AnonymousMarch 21, 2009 at 9:28 AM

    1. Cluster
    2. Convenience
    3. Stratified

    ReplyDelete
  3. rickMarch 21, 2009 at 9:28 AM

    1. I would use a cluster sampling technique.

    2. For this survey I would use a convenience sampling technique.

    3. The correct sampling technique for this survey would be Stratified.

    ReplyDelete
  4. UnknownMarch 21, 2009 at 9:29 AM

    1. In this situation I would use a cluster sample.

    2. For this problem I would use the convenience sample.

    3. In this case I believe that systematic sampling would work the best.

    ReplyDelete
  5. BryanMarch 21, 2009 at 9:31 AM

    1) Cluster Sample. The reason is the population (teachers) fall into naturally occurring subgroups and each having similar characteristics.
    2) Convenience Sample. This sample leads to biased studies.
    3) Systematic Sample. This sample is when each member of the population is assigned a number. This allows for a random but systematic sample of the population.

    ReplyDelete
  6. SheilaMarch 21, 2009 at 9:32 AM

    1.) The type of sampling techniques I would use in this situation is cluster sampling
    2.) The sampling technique used in this case is convenient sampling
    3.) The sampling technique used in this case is systematic sampling

    ReplyDelete
  7. UnknownMarch 21, 2009 at 9:35 AM

    1. Cluster Sample because the researcher would want to be sure they had a selection from each grouping or department.
    2. Convenience Sample because you would survey all teachers whose classes the researcher is currently enrolled in.
    3. Stratified Sample because the researcher only surveys a selection within each group and as a result wants to be sure that there is a proper representation from each department while still remaining random within each department

    ReplyDelete
  8. AnonymousMarch 21, 2009 at 9:41 AM

    John Drake
    1. cluster
    2. systematic
    3. stratified

    ReplyDelete
  9. AnonymousMarch 21, 2009 at 9:45 AM

    Evan D.

    1. A cluster sample would work correctly for this study because it makes groups of that each have similar characteristics.
    2. A convenience sample would work in this situation being that the sample consists of only available members in the population.
    3. A statified sample would allow the study to separate the teachers into groups and receive responses from each segmented population.

    ReplyDelete
  10. AlexMarch 21, 2009 at 9:48 AM

    1. I would use a cluster sample since we are dealing with subdivisions which are in geographical positions in the college which share similar characteristics.

    2. I am using a convenience sample here because I am picking instructors who are currently teaching me which is biased towards the other instructors.

    3. I would use a stratified sample in here because we are categorizing them based on departments and then select some of the teachers within those departments.

    ReplyDelete
  11. AnonymousMarch 21, 2009 at 10:08 AM

    Tonya Cox

    1. Sampling technique would be clustering.

    2. Sampling technique would be convenience.

    3. Sampling technique would be Systematic.

    ReplyDelete
  12. JWheelsMarch 21, 2009 at 10:38 AM

    1.In selecting two departments I would use a simple random sample Reason is, I am choosing to survey each teacher in those two departments. A simple random sample is a sample in which every possible sample of the same size has the same chance of being selected.

    2. I have three teachers in the current semester. So I would randomly select one of the three. Pull a name out of a hat after shaking the results to be pulled so to make it more random.

    3. Stratified sample is the answer because when it’s important for the sample to have members from each segment of the population or current semester teachers.

    ReplyDelete
  13. UnknownMarch 21, 2009 at 11:03 AM

    1. Stratified Sample: Divided into two or more subsets, each of the strata contains members with a certain characteristic, i.e. age.

    2. Clustered Sample: Each cluster should consist of members with all of the same characteristic.

    3. Clustered Sample: Each cluster should consist of members with all of the same characteristic.

    ReplyDelete
  14. AnonymousMarch 21, 2009 at 11:22 AM

    Mel Bailey

    1. A cluster sample is the most appropriate when the population falls into naturally occuring subgroups with similar characteristics.
    2. A convience sample consisting of only the teachers that are avaliable. (Not recommended)
    3. A stratified sample would be used to get a sample from each department.

    ReplyDelete
  15. UnknownApril 4, 2009 at 11:44 AM

    1.Cluster Sample

    2.Convience Sample

    3.Systematic Sample

    ReplyDelete

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