EM 13

    Cards (14)

    • Convenience sampling
      Least rigorous method, samples chosen based on accessibility
    • Theory-based/operational construct/theoretical sampling
      Researcher chooses people or things that demonstrate a growing theory, to uncover variations of the theories among various sub-groups
    • Extreme or deviant case sampling
      Researcher chooses samples of individuals or groups that represent extreme instances of the phenomenon being studied
    • Intensity sampling
      Chooses participants that exhibit the phenomenon strongly but not excessively, provides rich information
    • Heterogenous/maximum variation sampling
      Researcher chooses a diverse group of people or units that are impacted by the topic of interest, to gather information that outlines and clarifies the main ideas and trends
    • Homogenous sampling
      Only samples that share specific predefined features are chosen, advantage of assisting in the reduction of variances and simplifying the analysis procedure
    • Snowball or chain sampling
      When it is difficult to locate the individuals of the target population, one or two respondents will assist the researcher in locating other respondents
    • Critical case sampling
      Researcher chooses samples that include crucial data, to understand each population's situation and draw generalizations to other populations
    • Criterion sampling
      Researcher establishes a list of requirements before choosing samples that satisfy those requirements
    • Opportunistic or emergent sampling
      Researcher starts to notice any new or unexpected themes and looks for fresh sources of information to contribute to the analysis
    • Typical case sampling
      Researcher collects data from typical respondents as opposed to exceptional ones
    • Stratified purposeful sampling
      Target population is divided into several groups based on a variety of criteria, and a sample from each group is carefully chosen
    • Purposeful random sampling
      Researcher will pick a small sample from a bigger set of populations that are relevant to the study, participants are chosen at random
    • Combination or mixed purposeful sampling
      Researcher combines two or more of the aforementioned sample strategies
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