Sampling Methods: Probability & Non-Probability

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Questions and Answers

A researcher wants to ensure representation from different academic years (freshmen, sophomores, juniors, seniors) in a survey. Which sampling method is most appropriate?

  • Stratified Sampling (correct)
  • Cluster Sampling
  • Systematic Sampling
  • Simple Random Sampling

In a study of rare disease patients, researchers start by interviewing a few known patients and then ask them to refer other patients they know. Which sampling method is being used?

  • Quota Sampling
  • Snowball Sampling (correct)
  • Convenience Sampling
  • Purposive Sampling

A quality control engineer selects every 50th item from an assembly line to inspect for defects. Which sampling method does this represent?

  • Systematic Sampling (correct)
  • Simple Random Sampling
  • Stratified Sampling
  • Cluster Sampling

A researcher is conducting a preliminary study and surveys students in their own class due to the ease of access. Which sampling method are they using?

<p>Convenience Sampling (B)</p>
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Which of the following sampling methods gives each member of the population an equal chance of being selected?

<p>Simple Random Sampling (B)</p>
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A market research company divides a city into several districts and randomly selects a few districts to survey all households within those selected districts. Which sampling method is being used?

<p>Cluster Sampling (C)</p>
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A researcher wants to interview experts in a specific field to gather in-depth knowledge. Which non-probability sampling method is most suitable?

<p>Purposive Sampling (A)</p>
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A survey aims to include an equal number of participants from different age groups (e.g., 18-25, 26-35, 36-45). Which sampling method would be appropriate?

<p>Quota Sampling (C)</p>
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A researcher is studying the opinions of university students on a new policy. They obtain a list of all students and select every 25th student to participate. What type of sampling is this?

<p>Systematic Sampling (D)</p>
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In which sampling method is the risk of sampling bias generally the highest?

<p>Convenience Sampling (B)</p>
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To study the job satisfaction of employees in a large corporation, a researcher randomly selects 10 departments and surveys all employees within those departments. Which method is being employed?

<p>Cluster Sampling (B)</p>
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A researcher is investigating the experiences of nurses during a pandemic. They interview a few nurses and then ask each of them to recommend other nurses for the study. Which method are they using?

<p>Snowball Sampling (A)</p>
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Which sampling method involves dividing a population into subgroups and then taking a separate random sample from each subgroup?

<p>Stratified Sampling (A)</p>
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A researcher needs to survey 50 male and 50 female participants for a study. They stand outside a shopping mall and ask people to participate until they reach their required numbers. Which sampling method is this?

<p>Quota Sampling (B)</p>
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When is purposive sampling most appropriate?

<p>When the researcher needs to have participants with specific expertise. (A)</p>
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A researcher posts a survey on a social media platform and allows anyone who sees it to participate. Which sampling method is being used?

<p>Convenience Sampling (D)</p>
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A university wants to gather feedback from students about their online learning experience. Which sampling method would ensure proportional representation from each faculty (e.g., Engineering, Arts, Science)?

<p>Stratified Sampling (D)</p>
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A factory manager decides to inspect quality by testing every 20th product that comes off the assembly line. What type of sampling are they employing?

<p>Systematic Sampling (B)</p>
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A researcher studying homelessness interviews individuals at a shelter and asks them to refer other homeless individuals they know. Which sampling method is being used?

<p>Snowball Sampling (D)</p>
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What is a key limitation of convenience sampling?

<p>It may not be representative of the entire population. (C)</p>
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Flashcards

Simple Random Sampling

Each member of the population has an equal chance of being selected.

Systematic Sampling

Samples are selected based on a fixed, regular interval (e.g., every 10th item).

Stratified Sampling

The population is divided into subgroups (strata), and samples are taken from each subgroup.

Cluster Sampling

The population is divided into clusters, and entire clusters are randomly selected.

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Convenience Sampling

Participants are selected based on their easy accessibility to the researcher.

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Quota Sampling

Participants are selected to ensure representation of specific characteristics in proportion to their prevalence in the population.

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Purposive Sampling

Participants are selected based on specific criteria or expertise relevant to the research question.

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Snowball Sampling

Participants recruit other participants from among their acquaintances and networks.

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Study Notes

Types of Sampling Methods

  • Simple Random Sampling gives every population member an equal selection chance.
  • Randomly selecting students from a university roster exemplifies simple random sampling.
  • Systematic Sampling selects samples at a fixed interval (e.g., every 10th item).
  • Selecting every 10th student from a list demonstrates systematic sampling.
  • Stratified Sampling divides a population into subgroups (strata) and samples each to ensure representation.
  • Sampling students by year (freshmen, sophomores, etc.) represents stratified sampling.
  • Cluster Sampling divides the population into clusters and randomly selects clusters.
  • Sampling schools, then sampling the students within, represents cluster sampling.
  • Each method has pros and cons based on research goals and population characteristics.

Types of Non-Probability Sampling

  • Convenience Sampling selects participants based on easy access.
  • Surveying students in your class exemplifies convenience sampling.
  • Quota Sampling selects participants meeting specific criteria (e.g., age, gender).
  • Ensuring a survey has equal numbers of males and females represents quota sampling.
  • Purposive Sampling selects participants based on expertise or specific traits.
  • Interviewing experienced professionals in a field demonstrates purposive sampling.
  • Snowball Sampling involves participants recruiting additional participants from their networks.
  • Initial participants referring friends for a study represents snowball sampling.
  • Non-probability sampling is useful for exploratory and qualitative research, but has a higher risk of sampling bias.

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