Non-probability sampling is typically used when the goal is to make broad generalizations about a population.
Understand the Problem
The question is asking whether non-probability sampling is typically used for making broad generalizations about a population, and provides two options for answering: TRUE or FALSE.
Answer
FALSE
The final answer is FALSE.
Answer for screen readers
The final answer is FALSE.
More Information
Non-probability sampling is not typically used for making broad generalizations. It's used in exploratory research or specific contexts where precise population access isn't required. Probability sampling is preferred for broad generalizations.
Tips
A common mistake is confusing non-probability sampling with probability sampling. Non-probability sampling doesn't guarantee a representative sample.
Sources
- Non-Probability Sampling: Types, Examples, & Advantages - questionpro.com
- What Is Non-Probability Sampling? | Types & Examples - Scribbr - scribbr.com
- 3.2.3 Non-probability sampling - Statistique Canada - 50.statcan.gc.ca
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