Sampling Methods Explained

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Questions and Answers

In stratified random sampling, what are some possible criteria used to divide a population into strata?

Age, gender, and educational qualifications.

What type of sampling is used in large-scale studies where clusters are representative samples of the population as a whole?

Cluster Sampling

Non-probability sampling disregards random selection of subjects and relies on the availability or purpose of the study for subject selection.

True (A)

What is convenience sampling also known as?

<p>Accidental or incidental sampling</p> Signup and view all the answers

What is another name for purposive sampling?

<p>Judgmental sampling</p> Signup and view all the answers

Which sampling method involves people who self-select into the survey due to a strong interest in the topic?

<p>Volunteer Sampling</p> Signup and view all the answers

Which sampling is achieved by asking a participant to suggest someone else who might be willing or appropriate from the study?

<p>Snowball Sampling</p> Signup and view all the answers

Flashcards

Stratified Random Sampling

Population divided into groups (strata), then sampling follows.

Cluster Sampling

Used in large studies. Clusters represent the population; a random sample of clusters is taken.

Non-Probability Sampling

Disregards random selection, relies on availability or purpose of study.

Convenience Sampling

Choosing respondents based on the convenience of the researcher; also called accidental sampling.

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Purposive Sampling

Involves handpicking subjects to suit specific intentions; also called judgmental sampling.

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Quota Sampling

Population divided into strata, sets specific proportions whether reflective of the population or not.

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Volunteer Sampling

People self-select into the survey based on their own interest.

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Snowball Sampling

Does not provide a specific set of samples; achieved by asking a participant to suggest someone else.

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Study Notes

  • To obtain a sample of 150 from a list of 1,500 students, select a set of numbers like 1 to 15, and then take every 15th name on the list until the total number of respondents is achieved.

Stratified Random Sampling

  • Population divides into different strata (groups).
  • Sampling follows this division.
  • Criteria such as age, gender, and educational qualifications can separate a population into strata.
  • In a study on the effects of smoking on high school students, researchers may select equal numbers of students from freshman, sophomore, junior, and senior levels.

Cluster Sampling

  • Used in large-scale studies.
  • Clusters represent samples of the entire population.
  • Establish clusters, draw a simple random sample of the clusters, and sample the members of the chosen clusters.
  • Sampling can be difficult and time-consuming.
  • In a study to interview 100 teachers across the country could use cluster sampling.
  • Researchers may select regions (first cluster).
  • Researchers may select schools (second cluster).
  • Can then select the number of teachers.

Non-Probability Sampling

  • Disregards random selection of subjects.
  • Subjects chosen based on availability, the study's purpose, or the researcher's discretion.
  • This is not a scientific method and is common in qualitative research.

Convenience Sampling

  • Respondents are chosen based on the convenience for the researcher.
  • Also known as accidental or incidental sampling.
  • To study elementary students in a school while dealing with the study's constraints, researchers may choose elementary pupils present during their visit as respondents.

Purposive Sampling

  • Involves handpicking subjects to suit specific intentions, also termed judgmental sampling.
  • In a study on honor students, honor students are chosen and the necessary number of respondents needed, excluding all other students.

Quota Sampling

  • Similar to stratified sampling.
  • Population divides into strata, and specific proportions are deliberately set in the sample, regardless of whether the resulting proportion reflects the total population.
  • Helps ensure the inclusion of a particular segment of the population.
  • When surveying employees on company policies, researchers might set a quota of respondents from a small department to ensure adequate representation.

Volunteer Sampling

  • Involves people who self-select into the survey, often having a strong interest in the survey's main topic.
  • An online poll on a show is a volunteer sample, as the viewers choose the sample, not the survey administrator.

Snowball Sampling

  • Does not give a specific set of samples.
  • For studies involving unspecified groups like street children, drug dependents, gang members, informal settlers, and street vendors.
  • Achieved by asking a participant to suggest someone else suitable for the study.

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