10 Questions
What is the primary purpose of sampling in research?
To select a small but well-chosen group of elements that represents a much wider group
What should be considered when selecting a sample?
All of the above
What is the main difference between probability and nonprobability sampling?
The method of selecting the sample
What is the purpose of identifying the factors that influence the sample size?
To determine the sample size
What is the role of sampling in the research process?
It is an integral part of the research process
What is the purpose of the self-evaluation assessment?
To test the student's understanding of the content
What is the purpose of the YouTube links provided?
To provide additional learning resources
What is the main difference between a population and a sample?
The population is the larger group, while the sample is a smaller group that represents the population
What is the purpose of drawing a sample in practice?
To apply the concepts learned in a practical scenario
What is the role of the research process in sampling?
It is an integral part of the research process
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.
Learn about the importance of selecting a sample in research methodology. Understand how to choose a representative group from a large population.
Make Your Own Quizzes and Flashcards
Convert your notes into interactive study material.
Get started for free
