How Visualizing Inferential Uncertainty Can Mislead Readers About Treatment Effects in Scientific Results

CHI '20: CHI Conference on Human Factors in Computing Systems Honolulu HI USA April, 2020, pp. 1-12, 2020.

Cited by: 3|Bibtex|Views46|Links
EI

Abstract:

When presenting visualizations of experimental results, scientists often choose to display either inferential uncertainty (e.g., uncertainty in the estimate of a population mean) or outcome uncertainty (e.g., variation of outcomes around that mean) about their estimates. How does this choice impact readers' beliefs about the size of treat...More

Code:

Data:

Your rating :
0

 

Tags
Comments