Evidence map›Paper›PMID 22592323›Full record

ArticleAdvances in health sciences education : theory and practice2013

Workplace-based assessment: raters' performance theories and constructs.

M J B Govaerts, M W J Van de Wiel, L W T Schuwirth, C P M Van der Vleuten, A M M Muijtjens

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Article in Advances in health sciences education : theory and practice, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

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40citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

40 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Inter-observer variance of examiner scoring in urology Objective Structured Clinical Examinations.Canadian Urological Association journal = Journal de l'Association des urologues du Canada · 2024
    Article
  8. Clinician educators' conceptions of assessment in medical education.Advances in health sciences education : theory and practice · 2023
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. The Reliability of Rater Variability.Journal of graduate medical education · 2020
    Article
  16. Article
  17. Assessment in the context of problem-based learning.Advances in health sciences education : theory and practice · 2019
    Article
  18. Review
  19. Article
  20. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

M J B GovaertsDepartment of Educational Research and Development, FHML, Maastricht University, PO Box 616, 6200 MD Maastricht, The Netherlands. marjan.govaerts@maastrichtuniversity.nl
M W J Van de Wiel
L W T Schuwirth
C P M Van der Vleuten
A M M Muijtjens

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Weaknesses in the nature of rater judgments are generally considered to compromise the utility of workplace-based assessment (WBA). In order to gain insight into the underpinnings of rater behaviours, we investigated how raters form impressions of and make judgments on trainee performance. Using theoretical frameworks of social cognition and person perception, we explored raters' implicit performance theories, use of task-specific performance schemas and the formation of person schemas during WBA. We used think-aloud procedures and verbal protocol analysis to investigate schema-based processing by experienced (N = 18) and inexperienced (N = 16) raters (supervisor-raters in general practice residency training). Qualitative data analysis was used to explore schema content and usage. We quantitatively assessed rater idiosyncrasy in the use of performance schemas and we investigated effects of rater expertise on the use of (task-specific) performance schemas. Raters used different schemas in judging trainee performance. We developed a normative performance theory comprising seventeen inter-related performance dimensions. Levels of rater idiosyncrasy were substantial and unrelated to rater expertise. Experienced raters made significantly more use of task-specific performance schemas compared to inexperienced raters, suggesting more differentiated performance schemas in experienced raters. Most raters started to develop person schemas the moment they began to observe trainee performance. The findings further our understanding of processes underpinning judgment and decision making in WBA. Raters make and justify judgments based on personal theories and performance constructs. Raters' information processing seems to be affected by differences in rater expertise. The results of this study can help to improve rater training, the design of assessment instruments and decision making in WBA.

Indexed as

Clinical CompetenceEducational MeasurementHumansInternship and ResidencyPhysiciansVideo Recording

Identifiers

PMID22592323
PMCPMC3728456

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.