Sampling Strategies Chapter 8 Test Questions & Answers - Research Methods CJ & Soc 2e | Final Test Bank Lanier by Mark M. Lanier. DOCX document preview.
CHAPTER 8
TRUE/FALSE
- Proper sampling procedures allow researchers to use a smaller number of research participants instead of the whole population, which saves time and resources.
- Despite the sampling error, a sample can be generalized to the population if the sample is obtained following standardized procedures.
- One major benefit of using probability sampling over nonprobability sampling is that researchers can control mortality of research participants.
- Simple random sampling can be used only when a list of the total population is available.
- Probability sampling strategies include simple random sampling, stratified random sampling, cluster sampling, multistage stratified random sampling, systematic sampling, and quota sampling.
- Systematic sampling can be either a probability or nonprobability sampling strategy.
- Nonprobability sampling strategies include convenience sampling, quota sampling, purposeful sampling, and snowball sampling.
- Study findings based on convenience sampling suffer from selection bias; therefore, convenience sampling strategy may not produce extremely scientific information.
- As quota sampling does not use randomization, researchers who rely on quota sampling do not know if the sample selected represents the population.
MULTIPLE CHOICE
- Which of the following is false about sampling?
- It is less expensive to study a selection of a large group instead of the entire group.
- A sample can represent the study population if it is properly selected, following standardized procedures.
- If sampling procedures are properly conducted, there is no difference between the sample and the population.
- none of the above
- Which of the following is false regarding sampling error?
- Rarely does a selected sample perfectly represents the population.
- The differences between the sample and the population refer to sampling error.
- Sampling techniques are developed to minimize the inherent inaccuracy of sampling.
- Because of sampling error, any findings based on samples cannot be generalized to the population.
- Which of the following is most affected by sampling techniques?
- Internal validity
- External validity
- Reliability
- Sample size
- Which of the following is false regarding probability/nonprobability sampling?
- Probability sampling utilizes random selection of the population to ensure equal chance of representation in the sample.
- Nonprobability sampling does not use random selection when selecting the sample.
- Program or agency evaluations are based on probability sampling.
- None of the above
- Which of the following is false regarding probability/nonprobability sampling?
- Compared to nonprobability sampling methods, probability sampling techniques are more likely to increase the representativeness of a sample selected.
- In general, probability sampling is preferred for quantitative research because probability sampling strategies allow researchers to use more powerful and inferential statistical analyses.
- The research topic under consideration and the goals of the research determine which strategy is the most appropriate.
- Because nonprobability sampling has weak generalizability, nonprobability sampling strategies should not be used in criminology and criminal justice.
- The defining feature of a probability sample is the use of __________, allowing equal chance of representation from the total population to be included in the sample.
- Randomization
- Subpopulation
- Volunteers
- Telephone directories
- Which of the following is not an example of probability sampling strategies?
- Stratified random sampling
- Cluster sampling
- Systematic sampling
- Quota sampling
- Which of the following is a method of randomization to select a probability sample?
- Computer software
- Table of random numbers
- Random digit dialing
- All of the above
- Which of the following is false regarding simple random sampling?
- Each element of the population has to be given a number; therefore, the use of simple random sampling depends on the availability of a valid list of the entire population.
- After assigning numbers to all elements in the population, researchers use a table of random numbers.
- Random digit dialing is also used to select simple random samples; however, it is not a perfect strategy because the strategy may not include people who do not have a telephone.
- None of the above
- A researcher wants to compare students’ grade point averages based on a student’s year in college: freshmen, sophomore, junior, and senior. If the researcher also wants to have a probability sample with the equal number of students in each category, what might be the best way?
- Simple random sampling
- Stratified random sampling
- Cluster sampling
- Quota sampling
- Which probability sampling is the most appropriate when studying voting behavior comparing neighborhoods or zip code zones?
- Simple random sampling
- Stratified random sampling
- Cluster sampling
- Quota sampling
- Which of the following is an example of multistage stratified cluster sampling?
- Uniform Crime Reports
- National Crime Victimization Survey
- National Incident-Based Reporting System
- None of the above
- __________ sampling refers to a sampling method that takes every nth person of the population list.
- Simple random
- Stratified
- Systematic
- Quota
- Which of the following is not an example of nonprobability sampling?
- Convenience sampling
- Quota sampling
- Purposeful sampling
- All of the above (All are examples of nonprobability sampling.)
- Which of the following is false regarding nonprobability sampling?
- Researchers use nonprobability sampling only after they make all efforts to have a probability sample.
- Nonprobability sampling is used when the research goal is to study a specific sample or when a complete list of the total population is not available.
- In the field of criminology and criminal justice, a full list of criminals is often unavailable, which leads to the frequent use of nonprobability sampling.
- Limited time and resources also force researchers to use nonprobability samples.
- __________ sampling refers to the sampling technique that utilizes preexisting, easily accessible participants who are not randomly selected, but simply chosen because of availability.
- Convenience
- Quota
- Purposeful
- Snowball
- A university professor utilizes the students who happened to be enrolled in his class as a study population. This is an example of __________ sampling.
- convenience
- quota
- purposeful
- snowball
- __________ sampling is designed to assure that a convenience sample is representative of the study population.
- Convenience
- Quota
- Simple random
- Snowball
- Which of the following is true regarding quota sampling?
- As quota sampling makes an effort to represent the population, it is a type of probability sampling.
- Quota sampling is similar to randomized stratified sampling, but is less rigorous and does not use randomization.
- Despite the absence of randomization, researchers who use quota sampling can predict if the sample selected is representative of the population.
- All of the above
- __________ sampling refers to the sampling strategy where research participants are specifically chosen for participation. For example, researchers may study correctional officers’ job satisfaction at a specific prison.
- Convenience
- Quota
- Purposeful
- Snowball
- __________ sampling is a nonprobability sampling strategy when researchers have one or more participants introduce more participants, who then introduce more, and this continues until a large enough sample is acquired.
- Convenience
- Quota
- Purposeful
- Snowball
- Which of the following is false regarding snowball sampling?
- Snowballing sampling is a type of nonprobability sampling.
- Snowballing sampling can provide access to many subversive populations.
- Snowballing sampling requires strong interpersonal skills that enable researchers to effectively convey the value of the research to participants.
- None of the above
FILL-IN-THE-BLANK
- __________ is the means by which researchers select a portion of the total population to be studied as opposed to studying the entire group.
- __________ means that there are normally differences between the sample and the study population.
- In sampling, __________ means that each element in the population has an equal chance of being selected for the sample.
- __________ is the most basic probability sampling by ensuring everyone in the population has equal chance of selection.
- __________ divides the population into specific group characteristics and then draws a random sample from each group.
- __________ helps ensure that desired characteristics that are less common are included in the sample.
- __________, known as area probability sampling, is especially useful when handling large populations located in a large geographic area.
- __________ allows categories in the stratified sample to be further subdivided to ensure equal representation of participants who might not be selected for participation otherwise.
- __________ is a method of selecting a sample from the population by using a random starting point and then following that pattern until a sufficient sample is drawn.
- __________ is the simplest nonprobability sampling technique. Researchers study only readily available participants.
- __________ is a type of convenience sampling, but efforts are made to keep selecting participants until a certain number is actually filled.
- __________ occurs when researchers have decided the characteristics of interest for the research and intentionally seeks out those types of research participants.
- __________ occurs when researchers cannot gain access to a targeted population or when the desired sample is secretive.
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Research Methods CJ & Soc 2e | Final Test Bank Lanier
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