What are the effects of small sample size in research?
An example of an AI chatbot conversation about the effects of small sample size in research.
What are the effects of small sample size in research?
Small sample sizes can lead to unreliable results, increased variability, and reduced statistical power.
Can you explain why statistical power is important?
Statistical power is the probability of correctly rejecting a false null hypothesis. Higher power reduces Type II errors.
What are some common consequences of low statistical power?
Common consequences include failing to detect a true effect, misleading conclusions, and difficulty in replicating results.
How can researchers mitigate the effects of small sample sizes?
Researchers can use larger sample sizes, apply appropriate statistical techniques, or conduct pilot studies to assess feasibility.
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