Search
Results
Ditch “Statistical Significance” — But Keep Statistical Evidence | by Eric J. Daza, DrPH, MPS | Towards Data Science
“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.
Are We There Yet? A Communications Evaluation Guide
Evaluating digital health products - GOV.UK
Daniel J. O’Keefe PUBLICATIONS AND PAPERS
research on health comm messaging effects
Message Pretesting Using Perceived Persuasiveness Measures: Reconsidering the Correlational Evidence: Communication Methods and Measures: Vol 0, No 0
Who Measures Change?
An introduction to participatory monitoring and evaluation of communication for social change from the Communication for Social Change Consortium