Question:

_________ does not allow direct generalizations to a specific population, usually because the population is not defined explicitly.

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Snowball = great for hidden groups, poor for inference to a well-defined population (no frame, unknown selection probabilities).
Updated On: Aug 18, 2025
  • Snowball sampling
  • Judgmental sampling
  • Convenience sampling
  • Simple random sampling
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The Correct Option is A

Solution and Explanation

Step 1: Understand snowball sampling.
Snowball sampling is a nonprobability, network-based technique used for hard-to-reach/rare populations. Initial respondents recruit others. There is typically no explicit frame; inclusion depends on social links.
Step 2: Implication for generalization.
Because selection probabilities are unknown and the underlying population often isn’t explicitly enumerated, estimates cannot be directly generalized to a defined population with known sampling error.
Step 3: Rule out distractors.
- (b) Judgmental and (c) Convenience also limit generalization, but the stem highlights population not defined explicitly, a signature problem in snowball designs (hidden populations).
- (d) Simple random sampling is probability-based and supports generalization. \[ \boxed{(a)} \]
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