Evidence map›Paper›PMID 42047431›Full record

ArticleThe British journal of social psychology2026

gender.neutral@work.de: An experimental approach to the discrimination of nonbinary individuals during job applications.

Lou Dörr, Elena Ball, Pia Vogel, Claudia Niedlich, Melanie C Steffens

Abstract read
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Article in The British journal of social psychology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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3 · Its place in the literature

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Lou DörrSocial, Environmental, and Economic Psychology, Faculty of Psychology, RPTU University Kaiserslautern-Landau, Landau, Germany.ORCID https://orcid.org/0009-0003-8358-0900
Elena BallSocial, Environmental, and Economic Psychology, Faculty of Psychology, RPTU University Kaiserslautern-Landau, Landau, Germany.ORCID https://orcid.org/0000-0002-5390-624X
Pia VogelSocial, Environmental, and Economic Psychology, Faculty of Psychology, RPTU University Kaiserslautern-Landau, Landau, Germany.
Claudia NiedlichSocial, Environmental, and Economic Psychology, Faculty of Psychology, RPTU University Kaiserslautern-Landau, Landau, Germany.ORCID https://orcid.org/0000-0001-6870-7844
Melanie C SteffensSocial, Environmental, and Economic Psychology, Faculty of Psychology, RPTU University Kaiserslautern-Landau, Landau, Germany.ORCID https://orcid.org/0000-0002-7915-3629

Funding

Deutsche Forschungsgemeinschaft STE938/11-3REaCh-RPTU Center for Early Career Researchers
6 · The paper itself

Abstract

For many nonbinary individuals, disclosing their pronouns and preferred forms of address when applying for a job is necessary to avoid being misgendered. The request to be referred to in a gender-neutral way may trigger stereotypes and result in discrimination. Simulating recruitment scenarios, we test the effects of an applicant's request for gender-neutral address and avoidance of pronouns compared to binary-gendered alternatives. We hypothesize that applicants with a gender-neutral request would be discriminated against compared to applicants requesting binary-gendered pronouns. In a pre-registered pre-experiment with a convenience sample (N = 248), we found that applicants with a gender-neutral request were misgendered more often than applicants requesting binary-gendered pronouns and forms of address. No other indicators of discrimination were found, possibly due to the convenience sample. The reviewed experiment tested the hypotheses in a more diverse sample (N = 1275), adding openness towards nonbinary gender (ONBG) as a moderator variable and investigating spontaneous stereotype content. The findings demonstrated that applicants with a gender-neutral request were discriminated against compared to masculine-request applicants during the initial written application stage, with bias being moderated by ONBG. We discuss implications for understanding and reducing discrimination against nonbinary applicants in the work context.

Indexed as

Job ApplicationStereotypingAdultFemaleGender-Nonconforming PersonsHumansMaleYoung Adultemployment discriminationexperimental designgender discriminationnonbinarystereotyped attitudestransgenderworkplace diversity

Identifiers

PMID42047431
PMCPMC13123307

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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.