Poorly designed data collection methods can still produce reliable and valid research results if the sample size is large enough. TRUE or FALSE?
Understand the Problem
The question is asking whether poorly designed data collection methods can yield reliable and valid research results if the sample size is sufficiently large. The user needs to determine if this statement is true or false.
Answer
FALSE
The final answer is FALSE
Answer for screen readers
The final answer is FALSE
More Information
A large sample size cannot compensate for poorly designed data collection methods. Reliability and validity are influenced by the quality of the methods used, not just sample size.
Tips
A common mistake is assuming that increasing the sample size will fix issues in research design. However, design flaws can lead to systematic errors that a large sample cannot overcome.
Sources
- Reliability vs. Validity in Research | Difference, Types and Examples - scribbr.com
- How sample size influences research outcomes - PMC - pmc.ncbi.nlm.nih.gov
- Sample Size Essentials: The Foundation of Reliable Statistics - statisticsbyjim.com
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