Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6861054 | International Journal of Human-Computer Studies | 2016 | 13 Pages |
Abstract
Magnitude-based inference offers a theoretically justified and practically useful approach in any behavioural research that involves statistical inference. This approach supports two important types of inference: mechanistic inference and practical inference to support real-world decision-making. Therefore, this approach is especially suitable for user research. We present basic elements of magnitude-based inference and examples of its application in user research as well as its merits. Finally, we discuss other approaches to statistical inference and limitations of magnitude-based inference, and give recommendations on how to use this type of inference in user research.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Paul van Schaik, Matthew Weston,