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What is Pragmatic Sampling?

Published in Sampling Techniques 2 mins read

Pragmatic sampling is a non-probability sampling technique where researchers select participants based on their accessibility and suitability for the study. This method is often used when researchers need to quickly gather data from a convenient group of individuals, especially when resources or time are limited.

Key Features of Pragmatic Sampling:

  • Convenience: Participants are chosen because they are readily available and easy to reach.
  • Accessibility: Researchers focus on individuals who are easily accessible, such as students, employees, or members of a particular community.
  • Suitability: Researchers select participants who possess specific characteristics relevant to the study's objectives.

Advantages of Pragmatic Sampling:

  • Cost-effective: It requires less time and resources compared to other sampling methods.
  • Time-efficient: Researchers can quickly gather data from readily available participants.
  • Practical: It is a practical approach for exploratory studies or when resources are limited.

Disadvantages of Pragmatic Sampling:

  • Bias: The sample may not be representative of the population, leading to biased results.
  • Limited generalizability: Findings from a pragmatic sample may not be generalizable to the larger population.
  • Lack of control: Researchers have less control over the selection of participants, potentially introducing unintended variables.

Examples of Pragmatic Sampling:

  • A researcher conducting a study on student attitudes towards online learning might choose to sample students from their own university classes.
  • A market research company might use pragmatic sampling to interview shoppers at a local mall to gather feedback on a new product.
  • A social worker might use pragmatic sampling to interview individuals seeking services at a community center to understand their needs.

Practical Insights:

  • Pragmatic sampling is best used for exploratory research or when resources are limited.
  • Researchers should be aware of the potential for bias and limitations in generalizability when using this technique.
  • It is important to clearly document the sampling method used and its potential limitations in research reports.

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