Deviant cases sampling

1. The chief aim of sampling is to be able to select

1. simple random samples
2. a sample whose statistics will accurately portray an unknown population parameter
3. a sample whose parameters will accurately portray an unknown population statistic
4. a sample whose statistics will accurately portray a known population parameter
5. a sample whose unknown statistics will accurately portray a know parameter

 

2. A study population is

1. the theoretical and hypothetical aggregation of all elements as defined for a given survey
2. the theoretically specified aggregation of survey elements
3. that aggregation of elements from which the sample is actually selected
4. that aggregation or set of elements considered for selection in some stage of sampling
5. that aggregation of elements from which information is collected

 

3. The unit about which information is collected and that provides the basis of analysis is called a(n)

1. universe
2. sampling unit
3. statistic
4. sampling frame
5. element

 

4. In a situation of perfect homogeneity there is little need to be concerned with careful sampling procedures.

1. Ture
2. False

 

5. The size of the population must be taken into account when deciding on sample size.

1. True
2. False

 

6. Non probability sampling

1. always produces samples that possess distorted characteristics relative to the population
2. denies the researche the use of statistical theory to estimate the probability of correct inferences
3. should never be used under any circumstances
4. includes stratified sampling
5. requires the use of sampling frames

 

7. Sample all the students in your research methods class. What kind of sampling design are you using?

1. simple random sampling
2. quota sampling
3. cluster sampling
4. stratified sampling
5. reliance on available subjects

 

8. Drawing a judgemental sample

1. allows researchers to use their prior knowledge about the topic.
2. Enlists the aid of uninformed respondents
3. Results in a sample that has no researcher bias
4. Ensures a representative sample.
5. Requires the development of a quota matrix

 

9. If a field researcher wanted to learn a political organization’s pattern of recruitment over time, the researcher might begin by interviewing a fairly recent recruit and ask who introdused that person to the organization. Then the researcher might interview the person named and ask who introduced that person to the political organization. This would be an example of

1. snowball sampling.
2. Systematic sampling
3. Deviant cases sampling
4. Accidental sampling
5. Quota sampling’