Non-probability sampling techniques introduce selection biases into a research study
Non-probability sampling is used in observational research designs. The lack of randomization in these designs introduces selection and observation biases that can greatly skew the inferences yielded from statistical tests. However, these are important sampling methodologies that allow for researchers to use inclusion and exclusion criteria to purposefully seek out participants that meet certain criteria and study their outcomes. Non-probability sampling techniques are used to study rare outcomes, generate hypotheses, study associations, establish prevalence, and measure for odds and risk of developing disease states based on risk factors.
Two types of non-probability sampling methods
Specific groups of a population are targeted for participation in a study.
The most prevalent form of non-probability sampling. Researchers access retrospective data available to them.
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