Factoren die van invloed zijn op het verwijzen van patiënten van het verpleeghuis naar het ziekenhuis

Huls, Marije; Pouw, Maaike A.; Nieuwenhuizen, N. M.; Munster, Barbara C. Van; Rooij, Sophia E. de

doi:10.1007/s12439-018-0260-x

Cited by 1 publication

(1 citation statement)

References 17 publications

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“…This information was chosen so that the correct application of BARR-2002R would result in a below-average risk for recidivism. Task-irrelevant information, i.e., information not necessary to apply the BARR-2002R, was chosen to reinforce or trigger the belief that the sexual offenders is high risk (e.g., morally unacceptable behavior like a lack of empathy with victim or denial; Craissati, 2015;Huls et al, 2018).…”

Section: Manipulating Biasmentioning

confidence: 99%

Bias is persistent - Sequencing case information does not protect against contextual bias in criminal risk assessment

Oberlader,

Verschuere

2023

Preprint

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A large body of research indicates that bias is an inherent phenomenon of human information processing, also present in the psychological forensic assessment, for example, in credibility or criminal risk assessment. However, research on effective debiasing strategies is still in its infancy. Linear Sequential Unmasking-Expanded (LUS-E, Dror & Kukucka, 2021) is an information management protocol designed to reduce bias based on task-irrelevant context information. Inspired by LSU-E we ran a preregistrated experimental study to test, first, if task-irrelevant information introduces bias in criminal risk assessment, and second, if such bias could be reduced by sequencing case information. We collected data of 308 informed lay participants instructed to apply an empirical-actuarial risk scale based on a case vignette. Results showed that task-irrelevant information biased risk assessment. Yet, sequencing case information did not protect against it. Considering various boundary conditions, we discuss challenges to mitigate the biasing effect of task-irrelevant information.

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Section: Manipulating Biasmentioning

confidence: 99%