CRJ 101 Exam #2 Chapter 5

1. 1“A subset of a population used to study the population as a whole. “
   

   1. ASample
   2. BElements
   3. CPopulation
   4. DPeriodicity
2. 2“The individual members of the population whose characteristics are to be measured.”

   1. ASample
   2. BElement
   3. CPopulation
   4. DPeriodicity
3. 3Members of target population from which sample is actually selected.
   “The entire set of individuals or other entities to which study findings are to be generalized.”

   1. ASample
   2. BElement
   3. CPopulation
   4. DPeriodicity
4. 4ENTIRE group to whom you want to generalize your research.
   “A set of elements larger than or different from the population sampled and to which the researcher would like to generalize study findings.”

   1. APopulation
   2. BSample
   3. CTarget Population
   4. DPeriodicity
5. 5List of members of study pop. from which sample is selected
   “A list of all elements or other units containing the elements in a population.”

   1. ASampling Frame
   2. BPopulation
   3. CElement
   4. DPeriodicity
6. 6“A sample that “looks like” the population from which it was selected in all respects that are potentially relevant to the study. The distribution of characteristics among the elements of a representative sample is the same as the distribution of those characteristics among the total population. In an unrepresentative sample, some characteristics are overrepresented or underrepresented.”
   

   1. AElement
   2. BRepresentative Sample
   3. CPeriodicity
   4. DSample
7. 7“A sequence of elements (in a list to be sampled) that varies in some regular, periodic pattern. “
   

   1. APeriodicity
   2. BSample
   3. CElement
   4. DPopulation
8. 8What is EPSEM?

   1. AEqual Population Of Selecting Method
   2. BEqual Probability Of Selection Method
   3. CEqual Problem of Selecting Method
9. 9The probability that the value of a parameter falls within a specified range of values.

   1. AConfidence Level
   2. BConfidence Interval
   3. CSample Statistic
   4. DPopulation Parameter
10. 10A range of values so defined that there is a specified probability that the value of a parameter lies within it.

    1. AConfidence Interval
    2. BConfidence Level
    3. CSampling Distribution
    4. DPopulation Parameter

11. 11Error in a statistical analysis arising from the unrepresentativeness of the sample taken.

    1. ASampling Error
    2. BSampling Distribution
    3. CPopulation Parameter
    4. DSample Statistic
12. 12Simple Random Sampling: Identifies cases strictly on basis of chance.
    -Flipping a coin or rolling a dice.
    

    1. ASimple Random Sampling
    2. BSystematic Random Sampling
    3. CStratified Random Sampling
    4. DDisproportionate Stratified Sampling
13. 13First element selected randomly from list or from sequential files, then every Nth element is selected.
    

    1. ASimple Random Sampling
    2. BSystematic Random Sampling
    3. CStratified Random Sampling
    4. DDisproportionate Stratified Sampling
14. 14Strata- layers, levels, groups (singular stratum)
    Strata: Police Depts (ranks)
    
    Purpose - Ensure various groups included
    Especially small groups.
    
    1. Distinguish all elements in sampling frame per value on relevant characteristics (police officer rank) This is the sampling strata.

    1. ASimple Random Sampling
    2. BSystematic Random Sampling
    3. CStratified Random Sampling
    4. DDisproportionate Stratified Sampling
15. 15Disproportionate Stratified Sampling- Intentionally vary the proportion of each stratum included in the sample from what is actually in the population.

    1. ADisproportionate Stratified Sampling
    2. BStratified Random Sampling
    3. CSystematic Random Sampling
    4. DSimple Random Sampling
16. 16Stage 1: Randomly Select States
    Stage 2: Randomly Select cities, towns, and counties within states
    Stage 3: Randomly select dwellings within those cities and towns
    Stage 4: Randomly select individuals within each dwelling
    
    This represents what?

    1. ACluster
    2. BDisproportionate Stratified Sampling
    3. CMultistage Cluster Sampling
    4. DPurposive or Judgmental Sampling
17. 17Stage 1: Randomly select states
    Stage 2: Randomly select cities, towns and counties within those states
    Stage 3: Randomly select schools within those cities and towns
    Stage 4 Randomly select students within each school

    1. ACluster
    2. BMultistage Cluster Sampling
    3. CPurposive or Judgmental Sampling
    4. DSnowball Sampling
18. 18Each sample element selected for a purpose, usually because of the unique position of the sample elements.
    -May involve studying the entire population of some limited group (directors of shelters for homeless adults) or a subset of a population (mid-level managers with a reputation for efficiency)
    Or
    -May be a “key information survey, which targets individuals who are particularly knowledgeable about the issue under investigation.
    

    1. APurposive or Judgmental Sampling
    2. BSnowball Sampling
    3. CQuota Sampling
    4. DMultistage Cluster Sampling
19. 19is useful for hard to reach or hard to identify populations for which there is no sampling frame.
    -Members which are somewhat interconnected (at least some members of the population know each other)
    -Can be used to sample members of groups.
    -Drug dealers, prostitutes, practicing criminals, participants in alcoholics anonymoous
    

    1. ASnowball Sampling
    2. BQuota Sampling
    3. CPurposive or Judgmental Sampling
    4. DMultistage Cluster Sampling
20. 20Nonprobability sampling method in which elements are selected to ensure that the sample represents certain characteristics in proportion to their prevalence in the population.

    1. AQuota Sampling
    2. BSnowball Sampling
    3. CPurposive or Judgmental Sampling
    4. DMultistage Cluster Sampling
21. 21You are relying on available subjects. Such as, stopping people on a street corner as they pass by.
    
    Is this “Reliance on Available Subjects” as a sampling type?
    

    1. ATrue
    2. BFalse

Description

Quiz on CRJ 101 Exam #2 Chapter 5 , created by Arlet Moya on 20/04/2016.

Author

Arlet Moya

Language

English

Views

0

Rating

No ratings yet

Rate this quiz

Rate this quiz

More on Sampling Methods