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Exercise 2 Identifying Probability and Nonprobability Sampling Methods in Studies

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Exercise 2 Identifying Probability and Nonprobability Sampling Methods in Studies

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  • September 9, 2024
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  • 2024/2025
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Exercise 2: Identifying Probability and Nonprobability Sampling Methods in Studies


1. Probability, simple random sampling. Each department was in the target was identified


by a number that had been selected from a random numbers table.


2. Yes, the sample is representative. Probability sampling allows every person or element of


the study population to be represented without researcher bias and minimizes sampling error.


3. Nonprobability, convenience sampling. In convenience sampling, subjects are enrolled in


the study until the target sample size is reached. Convenience sampling does not allow for the


opportunity to control for sampling errors and biases.


4. Nonprobability, network or snowball sampling. Network or snowball sampling makes use


of social networks and the fact that friends often have common characteristics. The selected


individuals were asked to locate other substance abusers they knew to participate in the


study.


5. Probability; stratified random sampling. Stratified random sampling is used when the


researcher knows some of the variables within a population that will affect the representatives


of the sample.

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