Denies you the use of probability theory
Requires you to have some prior knowledge about the elements in the population prior to drawing the sample
Usually increases the standard error
Usually requires samples that are larger in size than those required by simple random sampling
None of these choices is a disadvantage of stratified sampling
Simple random sampling
Systematic sampling
Proportionate sampling
Disproportionate sampling
Quota sampling
Deviant cases
Quota sampling
Stratified sampling
Snowball sampling
Cluster sampling
5
50
100
200
1000
Snowball sampling
Systematic sampling
Deviant cases sampling
Accidental sampling
Quota sampling
Simple random sampling
Quota sampling
Cluster sampling
Stratified sampling
Accidental sampling
Allows researchers to use their prior knowledge about the population
Enlists the aid of uninformed respondents
Results in a sample that has no researcher bias
Ensures a representative sample
Requires the development of a quota matrix
Simple random sampling
Quota sampling
Cluster sampling
Stratified sampling
Accidental sampling
Universe
Sampling unit
Statistic
Sampling frame
Element
Cell phone numbers are typically not included in phone surveys
People who use cell phones exclusively tend to be younger
There is a class bias in using telephone directory samples
Telephone directories are an excellent listing of a city’s population
None of these statements would mislead Tammy
An informant is a member of the group that you want to study
You usually want to select informants who are somewhat typical of the group that you are studying
Informants are often marginal within their group
Informants are useful in field research
The terms informant and respondent are interchangeable
Simple random sampling
Systematic sampling
Cluster sampling
Stratified sampling
Any one of these choices are assumed in statistical computations
It is an estimate of the parameter
It permits us to estimate the degree of error to be expected in a sample design
It indicates the extent to which the sample estimates will be distributed around the population parameter
It is an estimate of the parameter and it permits us to estimate the degree of error to be expected in a sample design
It permits us to estimate the degree of error to be expected in a sample design and it indicates the extent to which the sample estimates will be distributed around the population parameter
Between 37% and 43% of the employees believe the president is doing a good job
You are 95% certain that between 37% and 43% of the employees believe the president is doing a good job
You are 68% certain that between 37% and 43% of the employees believe the president is doing a good job
You are 99% certain that between 37% and 43% of the employees believe the president is doing a good job
None of these choices are correct
Simple random sampling
Availability sampling
Stratified sampling
Quota sampling
Systematic sampling