Using a __ sampling strategy, researchers select cases because they reflect theoretically important distinctions

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Purposive sampling involves selecting cases based on their specific relevance to the research question or theory being tested, making it the most appropriate choice for selecting cases that reflect theoretically important distinctions. Availability sampling involves selecting cases that are easily accessible and therefore may not result in a representative sample. Probability sampling uses random selection to ensure representativeness but does not specifically target cases reflective of theoretical distinctions. Quantitative sampling refers to the use of statistical sampling techniques, which may or may not be relevant depending on the research question and context.

Using a __ Sampling Strategy, Researchers Select Cases Because They