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October 30, 2014Open Access

Sample Size Planning: P-values or Precision?

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Key Points

Higher sample sizes can improve the precision of statistical estimates, enhancing confidence in hypothesis testing outcomes.
The discussion centers on a case where a p-value of 0.026 raised concerns about the robustness of the hypothesis, prompting further data collection.
Choosing between p-values and precise estimates is crucial for effective sample size planning in research designs.
Collecting more data can refine the understanding of a hypothesis, ensuring that conclusions drawn are stronger and more reliable.

Implication

Discussion highlights how increased sample size may enhance precision in hypothesis testing, indicating a better approach beyond mere p-values.

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Cite This Study

Daniël Lakens (2014) studied this question.

synapsesocial.com/papers/68c1e17054b1d3bfb60fea04 https://doi.org/10.59350/btqnd-kth96

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