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A systematic review of measurement uncertainty visualizations in the context of standardized assessments

Dados Bibliográficos

ID21391764
AutoresAleksander Heltne (0000-0002-3524-203X, Department of Research and Innovation, Clinic for Mental Health and Addiction Oslo University Hospital Oslo Norway), Niek Frans (0000-0001-6684-0684, Department of Inclusive and Special Needs Education, Faculty of Behavioural and Social Sciences University of Groningen Groningen The Netherlands), Benjamin Hummelen (0000-0002-8717-8076, Department of Research and Innovation, Clinic for Mental Health and Addiction Oslo University Hospital Oslo Norway), Erik Falkum (0000-0001-9791-3284, Institute of Clinical Medicine University of Oslo Oslo Norway), Sara Germans Selvik (0000-0001-9921-8971, Department of Psychiatry, Helse Nord‐Trønderlag Namsos Hospital Namsos Norway), Muirne C S Paap (0000-0002-1173-7070, Department of Research and Innovation, Clinic for Mental Health and Addiction Oslo University Hospital Oslo Norway)
Ano2023
Volume64
Fascículo5
Páginas595-608
Data de publicação2023-10-01
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoScandinavian Journal of Psychology (JOURNAL)
Identificadores do periódicoISSN: 0036-5564 • E-ISSN: 1467-9450
EditoraWiley (PUBLISHER • GB)
DOI10.1111/sjop.12918
IdiomaEN
Referências citadas54

This systematic review summarized findings of 29 studies evaluating visual presentation formats appropriate for communicating measurement uncertainty associated with standardized clinical assessment instruments. Studies were identified through systematic searches of multiple databases (Medline, Embase, PsycInfo, ERIC, Scopus, and Web of Science). Strikingly, we found no studies which were conducted using samples of clinicians and included clinical decision‐making scenarios. Included studies did however find that providing participants with information about measurement uncertainty may increase awareness of uncertainty and promote more optimal decision making. Formats which visualize the shape of the underlying probability distribution were found to promote more accurate probability estimation and appropriate interpretations of the underlying probability distribution shape. However, participants in the included studies did not seem to benefit from the additional information provided by such plots during decision‐making tasks. Further explorations into how presentations of measurement uncertainty impact clinical decision making are needed to examine whether findings of the included studies generalize to clinician populations. This review provides an important overview of pitfalls associated with formats commonly used to communicate measurement uncertainty in clinical assessment instruments, and a potential starting point for further explorations into promising alternatives. Finally, our review offers specific recommendations on how remaining research questions might be addressed

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