increase effect

Terms from Statistics for HCI: Making Sense of Quantitative Data

There are several strategies to gain statistical power by manipulating the sensitivity of a study. One way is to attempt to increase the size of the measured effect using techniques such as a targeted user group, distractor tasks, targeted tasks and demonic interventions. However, care must be taken not to mislead with these techniques as they typically have low generalisability. See the noise-effect-number triangle for other ways to increase statistical power.

Also used in hcistats2e: Chap. 13: pages 153, 157, 158, 160, 162

Used in glossary entries: demonic intervention, distractor task, noise–effect–number triangle, statistical power, targeted tasks, targeted user group