Do We Really Need Medical Experts when modelling in Judgment Analysis?: Lack of Difference Between Expert and Non-Expert models in Judgment Analysis
(English)Article in journal (Refereed) Submitted
It is assumed that in judgment analysis, experts provide better models than non-experts. In this study we challenge this view by showing that data from non-experts might be equally suitable for building models. We show this by modeling the decisions of 21 medical students, 27 general practitioners, and 22 cardiologists on real patient vignettes regarding diagnosing heart failure. The models used were logistic regression and fast and frugal models. Results showed that there were no differences between any of the expertise groups in terms of fit, prediction, information searched, or percent of actual diagnosis in any of the models. Therefore, it seems, at least for the studied conditions, using models built on decision data from non-experts versus experts might be equally valid in judgment analysis.
Judgment analysis, Expertise, Decision making, Judgment
IdentifiersURN: urn:nbn:se:su:diva-57072OAI: oai:DiVA.org:su-57072DiVA: diva2:414263