Evidence map›Paper›PMID 40718519›Full record

ArticleAEM education and training2025

Assessor Personality Traits Are Not Educationally Important Drivers of Assessor Stringency/Leniency.

Sebastian Dewhirst, Nora D Szabo, Jason R Frank

Abstract read
In one paragraph

Article in AEM education and training, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Sebastian DewhirstDepartment of Emergency Medicine University of Ottawa Ottawa Canada.ORCID https://orcid.org/0000-0003-1996-6692
Nora D SzaboUniversity of Ottawa Ottawa Canada.
Jason R FrankCentre for Innovation in Medical Education Department of Emergency, University of Ottawa Ottawa Canada.ORCID https://orcid.org/0000-0002-6076-0146

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Assessor stringency/leniency (ASL), the tendency for an assessor to consistently provide low or high scores, has been shown to have educationally important effects on learner assessment scores in multiple settings. To date, there is no clear understanding of the underlying drivers of ASL in the context of medical education. Some authors have hypothesized a link between personality traits and ASL, but there is currently insufficient data to reach any conclusions. This study seeks to determine whether there is a significant association between physician assessors' personality traits and ASL. Methods: This prospective cohort study was conducted at an academic emergency department in Ottawa, Canada. Participating assessors volunteered to complete the IPIP-Neo 120, a personality questionnaire based on the five-factor model. All end-of-shift assessments completed between July 1, 2021, and June 30, 2022, were collected, and ASL was quantified for each assessor using the mean delta method. Linear regression was used to assess the correlation between personality scores and ASL. Results: A total of 2127 assessments, representing 184 learners, were analyzed. Twenty-five assessors were enrolled, with a wide distribution of assessor personality scores for each trait. While there was a trend toward leniency with increasing assessor extraversion, this did not reach statistical significance ( Conclusion: Integrating our findings with the existing literature, we conclude that personality traits are likely not educationally important drivers of ASL in medicine. Future research should examine other possible contributors to ASL in medical education.

Identifiers

PMID40718519
PMCPMC12286757

What OpenQuestion holds

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Registered trials

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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.