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Statistical Reporting in Cyber Security User Studies
Date created: 2019-02-02 04:16 PM | Last Updated: 2020-11-26 08:39 PM
Category: Project
Description: We investigate the statistical reporting in cyber security user studies based on an SLR sample from 2006-2016, including statistical inference on the relation with publication venue and year.
Structured Abstract
Background. User studies in cyber security in the widest sense often rely on statistical inference to show that effects seen in (quasi-)experiments and surveys are significant, and that the null hypothesis can be rejected. In such Null Hypothesis Significance Testing (NHST), the community relies on sound reporting to ascertain the credibility of the results.
Aim. We investigate…
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