Podcast
Questions and Answers
What is convenience sampling?
What is convenience sampling?
What is an example of convenience sampling?
What is an example of convenience sampling?
What is the main objective of good sampling?
What is the main objective of good sampling?
What is a limitation of convenience sampling?
What is a limitation of convenience sampling?
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What type of sampling is used when participants are selected based on pre-established criteria?
What type of sampling is used when participants are selected based on pre-established criteria?
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What is snowball sampling?
What is snowball sampling?
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Which sampling method is used when studying hard-to-reach populations?
Which sampling method is used when studying hard-to-reach populations?
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When is snowball sampling frequently used?
When is snowball sampling frequently used?
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What is the benefit of random sampling?
What is the benefit of random sampling?
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What is the goal of exponential discriminative snowball sampling?
What is the goal of exponential discriminative snowball sampling?
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Study Notes
Convenience Sampling
- A non-probabilistic sampling technique where researchers select individuals or items that are easily accessible or convenient to include in their study.
- May introduce bias since it may not accurately represent the population of interest.
- Example: Recruiting patients who happen to be available during their visits in a hospital, which may not capture the experiences of patients who are unable to visit the hospital regularly or who receive care elsewhere.
Snowball Sampling
- A non-probability strategy used in research studies where current study participants select potential future subjects from among their friends.
- Frequently used in disciplines like sociology, anthropology, and epidemiology, especially when it's challenging to locate or contact a particular community for research.
- Begins with a small group of people who fit the researcher's requirements, and has its limits, so researchers often combine it with other sampling techniques or proceed with caution when interpreting data.
- Three types of snowball sampling methods: Linear, Exponential non-discriminative, and Exponential discriminative.
- Example: Studying the experiences of illegal immigrants in a certain city, where traditional sample techniques may have trouble reaching this demographic.
Good Sampling
- Ensures that the chosen subset accurately represents the larger population while minimizing bias, leading to more relevant findings and decisions.
- Has four qualities: randomness, representativeness, adequacy, and reliability.
- Random sampling from a population guarantees that each participant has an equal probability of being selected, reducing bias and enabling population-wide generalization.
- Purposive sampling involves the conscious selection of participants based on pre-established criteria, and may not be as statistically representative as random sampling, but can be useful for concentrating attention on specific features or interest groups.
- The choice between random and purposive sampling depends on the expected degree of generalizability, the study objectives, and the resources available.
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Description
Learn about convenience sampling, a non-probabilistic technique in research that selects easily accessible individuals or items, but may introduce bias in results.
