Podcast
Questions and Answers
What is the primary purpose of sampling in research?
What is the primary purpose of sampling in research?
- To draw conclusions about the research process
- To investigate the entire population
- To select a small but well-chosen group of elements that represents a much wider group (correct)
- To analyze the data collected
What should be considered when selecting a sample?
What should be considered when selecting a sample?
- The size of the population
- The type of research being conducted
- The availability of resources
- All of the above (correct)
What is the main difference between probability and nonprobability sampling?
What is the main difference between probability and nonprobability sampling?
- The level of accuracy required
- The size of the sample
- The type of research being conducted
- The method of selecting the sample (correct)
What is the purpose of identifying the factors that influence the sample size?
What is the purpose of identifying the factors that influence the sample size?
What is the role of sampling in the research process?
What is the role of sampling in the research process?
What is the purpose of the self-evaluation assessment?
What is the purpose of the self-evaluation assessment?
What is the purpose of the YouTube links provided?
What is the purpose of the YouTube links provided?
What is the main difference between a population and a sample?
What is the main difference between a population and a sample?
What is the purpose of drawing a sample in practice?
What is the purpose of drawing a sample in practice?
What is the role of the research process in sampling?
What is the role of the research process in sampling?
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Study Notes
Sampling
- Researchers must select a sample from a population, as studying the entire population is often too large and unmanageable.
- Sampling provides a more accurate picture of the population than researching the entire population.
- A census, or studying the entire population, is expensive, time-consuming, and not always suitable for all studies.
Importance of Sampling
- Sampling is a vital part of the research process.
- The strategies for choosing a sample influence both the results and the researcher's interpretation of these results.
Defining the Population
- The population that interests researchers is often too large to study directly.
- Researchers need to define their population and sample.
- The population that the researcher has access to, and actually investigates, is defined as the accessible population or study population.
Elements
- An element is the unit or case about which information is obtained.
- Elements may be people, objects, events, social groups, organizations, documents, or provinces.
- All elements together constitute the population.
Sampling Frame
- A sampling frame is not always available.
- The researcher often has to prepare a sampling frame, which contains a complete target population.
- An adequate sampling frame should not exclude any element of the population.
Representative Sample
- A representative sample is a sample that resembles the population in as many ways as possible.
- It allows the researcher to accurately generalize the results.
- A representative sample should replicate the population properties in approximately the same proportion as they occur in the target population.
Sampling Error
- Sampling error occurs when a sample does not properly represent the population.
- This can introduce serious bias, as certain elements in the population may be overrepresented or underrepresented.
Quota Sampling
- Quota sampling is a nonprobability sampling technique.
- It requires each stratum to be represented in the sample in the same proportion as in the total population.
- The sampling procedure in quota sampling relies on convenience or accidental choice, rather than random choice from a sample frame.
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