TY - JOUR
T1 - Magnitude-based inference and its application in user research
AU - Van Schaik, Paul
AU - Weston, Matthew
PY - 2016/1/8
Y1 - 2016/1/8
N2 - 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.
AB - 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.
U2 - 10.1016/j.ijhcs.2016.01.002
DO - 10.1016/j.ijhcs.2016.01.002
M3 - Article
SN - 1071-5819
SP - 38
EP - 50
JO - International Journal of Human-Computer Studies
JF - International Journal of Human-Computer Studies
ER -