1936:
1. The digest mailed out ballots to people who they found on identifiable lists, such as their subscribers. However, they failed to realize that these markers they used to find potential survey respondents were not representative of American voters, in fact they were only a small percentage of the voting population.
2. Non-response bias: The individuals who don’t respond are very different than those who do.
3. Those who respond are also more invested in the survey than non-respondents.
1948:
1. They used quota sampling, which is theoretical. It couldn’t accurately predict the voting population before the election.
2. Selection bias. Surveyors were more likely to survey individuals who were similar to them.
Depends on the type of research. …show more content…
When you want to address underrepresented groups.
Stratified sampling draws cases from each of its stratums, while single-stage cluster samples draw their samples from their sampled clusters.
Selecting more clusters and having less elements in the clusters.
It makes it easier to sample large groups and ensures that everyone has a chance at being selected. The problem with systematic sampling is the periodicity problem, which happens when there is a hidden periodic trait in the sample. The authors give the example of retirement condos, in which one condo in the corner is larger than the rest, and how systematic sampling would either completely exclude or only include these condos in the sample. That means that the sample would not be representative of the entire group. (Bernard, pg.132)
Registrar’s list.
Undergraduate Students
You would number all of the undergraduate students and select random numbers to be part of the sample.
Stratified sampling helps increase precision of the sample, if the stratified variable is related to the dependent variable. In this case, major is related to the dependent variable, so stratifying by major may benefit. Majors have different course load requirements, and depending on the major, students may be participating in practicum, such as student teaching, which would mean they would not be dedicating time to
1. The digest mailed out ballots to people who they found on identifiable lists, such as their subscribers. However, they failed to realize that these markers they used to find potential survey respondents were not representative of American voters, in fact they were only a small percentage of the voting population.
2. Non-response bias: The individuals who don’t respond are very different than those who do.
3. Those who respond are also more invested in the survey than non-respondents.
1948:
1. They used quota sampling, which is theoretical. It couldn’t accurately predict the voting population before the election.
2. Selection bias. Surveyors were more likely to survey individuals who were similar to them.
Depends on the type of research. …show more content…
When you want to address underrepresented groups.
Stratified sampling draws cases from each of its stratums, while single-stage cluster samples draw their samples from their sampled clusters.
Selecting more clusters and having less elements in the clusters.
It makes it easier to sample large groups and ensures that everyone has a chance at being selected. The problem with systematic sampling is the periodicity problem, which happens when there is a hidden periodic trait in the sample. The authors give the example of retirement condos, in which one condo in the corner is larger than the rest, and how systematic sampling would either completely exclude or only include these condos in the sample. That means that the sample would not be representative of the entire group. (Bernard, pg.132)
Registrar’s list.
Undergraduate Students
You would number all of the undergraduate students and select random numbers to be part of the sample.
Stratified sampling helps increase precision of the sample, if the stratified variable is related to the dependent variable. In this case, major is related to the dependent variable, so stratifying by major may benefit. Majors have different course load requirements, and depending on the major, students may be participating in practicum, such as student teaching, which would mean they would not be dedicating time to