Low-fidelity simulations, which combine closed-ended response options with realistic depictions of key job tasks, have grown in popularity for several practical reasons. Research into low-fidelity simulations, which has focused primarily on text-based situational judgment tests (SJTs), has shown that such measures () can predict a wide range of criteria, doing so with moderate adverse impact, depending on the construct saturation of the items, () are no more susceptible to coaching/cheating/retesting effects than many other forms of assessment and far less susceptible than some, and () continue to struggle when used to measure a single construct. Practice, by contrast, has moved well beyond text-based SJTs to include multimedia SJTs, online assessment center exercises, and game-like assessments. Because these are perceived more favorably by applicants, the same research dedicated to text-based SJTs is needed to guide development of these newer forms of low-fidelity simulation.


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