Exam 8: Sampling Strategies

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__________ is the simplest nonprobability sampling technique. Researchers study only readily available participants.

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Which of the following is false regarding sampling error?

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__________ allows categories in the stratified sample to be further subdivided to ensure equal representation of participants who might not be selected for participation otherwise.

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Which of the following is true regarding quota sampling?

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Systematic sampling can be either a probability or nonprobability sampling strategy.

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__________ sampling refers to the sampling technique that utilizes preexisting, easily accessible participants who are not randomly selected, but simply chosen because of availability.

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Which of the following is an example of multistage stratified cluster sampling?

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__________ is a type of convenience sampling, but efforts are made to keep selecting participants until a certain number is actually filled.

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Which of the following is false about sampling?

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__________ occurs when researchers cannot gain access to a targeted population or when the desired sample is secretive.

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Simple random sampling can be used only when a list of the total population is available.

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Which of the following is most affected by sampling techniques?

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Which of the following is a method of randomization to select a probability sample?

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In sampling, __________ means that each element in the population has an equal chance of being selected for the sample.

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Which of the following is false regarding probability/nonprobability sampling?

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Nonprobability sampling strategies include convenience sampling, quota sampling, purposeful sampling, and snowball sampling.

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As quota sampling does not use randomization, researchers who rely on quota sampling do not know if the sample selected represents the population.

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Which of the following is false regarding snowball sampling?

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Proper sampling procedures allow researchers to use a smaller number of research participants instead of the whole population, which saves time and resources.

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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?

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