Evidence map›Paper›PMID 42611881›Full record

ArticlePloS one2026

Using selection tests to hire autistic employees: An exploration of methods.

Christopher E Whelpley, Tyler Fezzey, John H Batchelor, Jeff A Weekley

Abstract read
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Christopher E WhelpleyManagement and Entrepreneurship, School of Business, Virginia Commonwealth University, Richmond, Virginia, United States of America.ORCID https://orcid.org/0000-0002-5839-9283
Tyler FezzeyDepartment of Business Administration, Lewis Bear Jr. College of Business, Pensacola, Florida, United States of America.
John H BatchelorDepartment of Business Administration, Lewis Bear Jr. College of Business, Pensacola, Florida, United States of America.
Jeff A WeekleyRetired.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A persistent barrier to employment for autistic individuals is the personnel selection process. Although prior research demonstrates that traditional employment interviews disadvantage autistic applicants relative to neurotypical applicants, far less is known about whether commonly used alternative selection methods reduce or reproduce such disparities. Drawing on a sample of autistic and neurotypical adults, this study examines subgroup differences across three widely used selection tools: general mental ability (GMA) tests, personality inventories, and situational judgment tests (SJTs). We assess subgroup differences using standardized mean comparisons and further examine predictors of SJT performance using multivariate regression analyses. The results indicate that all three selection methods produce meaningful subgroup differences that are unfavorable to autistic respondents. Moreover, autistic respondents scored significantly lower on the SJT even after controlling for GMA, personality traits, gender, and age. Together, these preliminary findings suggest that commonly used selection tools, often promoted as objective alternatives to interviews, may nonetheless result in adverse impact for autistic applicants if used in hiring decisions. We discuss implications for personnel selection research, the design of inclusive hiring systems, and the need to develop assessment methods that better capture job-relevant strengths among neurodiverse applicants.

Indexed as

Autistic DisorderEmploymentPersonnel SelectionAdultFemaleHumansMaleMiddle Aged

Identifiers

PMID42611881
PMCPMC13485062

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.