yabs.io

Yet Another Bookmarks Service

Search

Results

[https://towardsdatascience.com/ditch-statistical-significance-8b6532c175cb] - - public:weinreich
campaign_effects, evaluation, health_communication, how_to, quantitative, research - 6 | id:1484440 -

“significant” p-value ≠ “significant” finding: The significance of statistical evidence for the true X (i.e., statistical significance of the p-value for the estimate of the true X) says absolutely nothing about the practical/scientific significance of the true X. That is, significance of evidence is not evidence of significance. Increasing your sample size in no way increases the practical/scientific significance of your practical/scientific hypothesis. “significant” p-value = “discernible” finding: The significance of statistical evidence for the true X does tell us how well the estimate can discern the true X. That is, significance of evidence is evidence of discernibility. Increasing your sample size does increase how well your finding can discern your practical/scientific hypothesis.

Follow Tags


Export:

JSONXMLRSS