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Related Concept Videos

Convenience Sampling Method00:55

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Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population.
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Sampling is a crucial step in analytical chemistry, allowing researchers to collect representative data from a large population. Common sampling methods include random, judgmental, systematic, stratified, and cluster sampling.
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Often, psychologists develop surveys as a means of gathering data. Surveys are lists of questions to be answered by research participants, and can be delivered as paper-and-pencil questionnaires, administered electronically, or conducted verbally. Generally, the survey itself can be completed in a short time, and the ease of administering a survey makes it easy to collect data from a large number of people.
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If you want to understand how behavior occurs, one of the best ways to gain information is to simply observe the behavior in its natural context. However, people might change their behavior in unexpected ways if they know they are being observed. How do researchers obtain accurate information when people tend to hide their natural behavior? As an example, imagine that your professor asks everyone in your class to raise their hand if they always wash their hands after using the restroom. Chances...
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A sample refers to a smaller subset representative of a larger population. In analytical chemistry, studying or analyzing an entire population is often impractical or impossible. Therefore, samples are used to draw inferences and generalize the whole population. The sampling method selects individuals or items from a population to create a sample. Standard sampling methods include random, judgemental, systematic, stratified, and cluster sampling. 
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Purposeful Sampling: Advantages and Pitfalls.

Samuel J Stratton1

  • 1University of California, Los Angeles, Fielding School of Public Health, Los Angeles, California,USA.

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Summary
This summary is machine-generated.

This editorial monograph examines purposeful sampling, a key qualitative research method. It details its advancements and potential challenges for researchers.

Keywords:
population researchpopulation samplingpurposeful samplingqualitative research design

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Area of Science:

  • Qualitative Research Methodologies
  • Research Design and Strategy

Background:

  • Purposeful sampling is a widely adopted technique in qualitative research.
  • This monograph provides a comprehensive overview of its common forms.

Discussion:

  • Explores the advantages and benefits of employing purposeful sampling strategies.
  • Critically examines the potential drawbacks and limitations inherent in purposeful sampling.

Key Insights:

  • Highlights best practices for effective implementation of purposeful sampling.
  • Identifies common pitfalls to avoid for robust qualitative data collection.

Outlook:

  • Suggests future directions for refining purposeful sampling techniques.
  • Emphasizes the importance of methodological rigor in qualitative inquiry.