Researchers often place a strong focus on statistical significance when reporting the results of statistical tests. However, effect sizes are reported less frequently, and interpretation in the context of the study and the research field is even rarer. These interpretations of effect sizes are, however, necessary to understand the practical importance of a result for the community. To explore how Usable Security & Privacy (USP) and HCI researchers interpret effect sizes and make judgments on practical importance, we conducted survey and interview studies with a total of 63 researchers at CHI and SOUPS 2023. Our studies focused on Cohen's d and odds ratios in two USP and one HCI scenario. We analyzed which artifacts researchers consider when judging effect size, and found misconceptions and variation between the participants, highlighting how difficult judging statistics can be. Based on our findings, we make concrete recommendations for improved reporting practices around effect sizes.
https://dl.acm.org/doi/10.1145/3706598.3714022
The ACM CHI Conference on Human Factors in Computing Systems (https://chi2025.acm.org/)