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1 | | A population is: |
| | A) | selected from the sample. |
| | B) | selected from the sampling frame. |
| | C) | determined by identifying the characteristics the researcher wants participants to have. |
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2 | | From largest to smallest, the correct order is: |
| | A) | sample, sampling frame, population. |
| | B) | sampling frame, population, sample. |
| | C) | population, sampling frame, sample. |
| | D) | population, sample, sampling frame. |
| | E) | sample, population, sampling frame. |
| | F) | sampling frame, sample, population. |
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3 | | Generalizability is the extent to which |
| | A) | the sample is like the population. |
| | B) | conclusions developed from the data collected from a sample can be extended to the population. |
| | C) | error exists in the population. |
| | D) | participants in the sample are biased toward the research topic. |
| | E) | participants in the population are biased toward the research topic. |
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4 | | Probability sampling means that selection of participants is: |
| | A) | random. |
| | B) | purposive. |
| | C) | not random. |
| | D) | based on convenience. |
| | E) | none of the above. |
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5 | | Sampling error is: |
| | A) | the number of times a person is contacted before they agree to participate in a research project. |
| | B) | the degree to which a sample differs from population characteristics. |
| | C) | always present. |
| | D) | the number of individuals who do not agree to be part of the sample. |
| | E) | b and c. |
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6 | | Convenience, volunteers, and snowball samples are types of: |
| | A) | probability samples. |
| | B) | random samples. |
| | C) | nonprobability samples. |
| | D) | systematic samples. |
| | E) | stratified samples. |
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7 | | Population Validity: |
| | A) | Is the degree to which the sample represents and can be generalized to the population. |
| | B) | Is the same as nonprobability sampling |
| | C) | Describes the geographic area of the population and the sample. |
| | D) | Both a and c. |
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8 | | A confidence level is: |
| | A) | the range of the sampling error. |
| | B) | the degree of accuracy in predicting the result for the population from the result of the sample. |
| | C) | favoring of one attribute or characteristic of the population. |
| | D) | the average range of participants in a study. |
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9 | | Nonprobability sampling involves: |
| | A) | randomly selecting a sample from the population it represents |
| | B) | identifying the population by groups or clusters. |
| | C) | sampling that does not rely on any form of random selection. |
| | D) | dividing the population according to homogenous groups. |
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10 | | Which of the following is true regarding sample size? |
| | A) | it is common for researchers to oversample to make sure sample size is obtained. |
| | B) | there is seldom a definitive answer to how large a sample size should be. |
| | C) | it is not crucial to the design of a study . |
| | D) | a and b only. |
| | E) | all of the above. |
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