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Questions and Answers
What is the main focus of optimum allocation in sampling?
What is the main focus of optimum allocation in sampling?
Which sampling method is a further development of the principle of cluster sampling?
Which sampling method is a further development of the principle of cluster sampling?
What is the advantage of using multi-stage sampling?
What is the advantage of using multi-stage sampling?
What is introduced in multi-stage sampling due to the unequal size of some of the selected sub-samples?
What is introduced in multi-stage sampling due to the unequal size of some of the selected sub-samples?
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What is the key distinguishing feature between probability and non-probability sampling methods?
What is the key distinguishing feature between probability and non-probability sampling methods?
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Which of the following is an example of non-probability sampling method?
Which of the following is an example of non-probability sampling method?
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What is the purpose of using 5-stage sampling in large-scale surveys?
What is the purpose of using 5-stage sampling in large-scale surveys?
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What is the first step in the example of 5-stage sampling given in the text?
What is the first step in the example of 5-stage sampling given in the text?
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How many zones were selected randomly in the example given in the text?
How many zones were selected randomly in the example given in the text?
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How many teachers were selected randomly in the final stage of the example given in the text?
How many teachers were selected randomly in the final stage of the example given in the text?
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Study Notes
Non-Probability Sampling Methods
- Non-probability sampling methods do not rely on probability to select a sample from the population.
- There are four types of non-probability sampling methods:
- Convenience Sampling
- Judgment Sampling
- Referral Sampling
- Quota Sampling
Convenience Sampling
- Convenience samples are drawn at the convenience of the interviewer.
- The most convenient areas to a researcher are often "high traffic" areas such as shopping or busy pedestrian areas.
- The selection of the place and prospective respondents is subjective rather than objective.
- Certain members of the population are automatically eliminated from the sampling process.
Judgment Sampling
- Judgment samples require the judgment or an "educated guess" as who should represent the population.
- Often, the researcher or an individual with knowledge about the population chooses those individuals they feel constitute the sample.
- Judgment sampling is often used in focus group studies.
Referral Sampling
- Referral sampling, also known as "snow ball samples", requires respondents to provide the names of additional respondents.
- The sample list begins with a short list of sample units that is smaller than the total sample desired.
- Referral sampling is most appropriate when there is a limited and disappointingly short sample frame and when respondents can provide the names of others who would qualify for the survey.
Quota Sampling
- Quota sampling establishes a specific quota for various types of individuals to be interviewed.
- The quotas are determined through the application of the research objectives and are defined by key characteristics used to identify the population.
- A field worker is provided with screening criteria that classify the potential respondent into a particular quota cell.
Strengths and Weaknesses of Sampling Methods
- Developing a sample plan involves a logical sequence of steps to draw and ultimately arrive at the final sample.
- The sample plan may focus on optimizing costs, precision, or both precision and costs.
5-Stage (Multi Stage) Sampling
- 5-stage sampling is a further development of the principle of cluster sampling.
- It is used in large-scale surveys for a more comprehensive investigation.
- The researcher may use two, three, or four stage sampling, depending on the complexity of the study.
- Multi-stage sampling is comparatively convenient, less time-consuming, and less expensive, but may introduce element sample bias due to the unequal size of some of the selected sub-samples.
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Description
Learn about different types of non-probability sampling methods, including convenience, judgment, referral, and quota sampling. Understand the characteristics and examples of each method.
