Evidence map›Paper›PMID 32932845›Full record

ArticleBrain sciences2020

Developing Employment Environments Where Individuals with ASD Thrive: Using Machine Learning to Explore Employer Policies and Practices.

Amy Jane Griffiths, Amy Hurley Hanson, Cristina M Giannantonio, Sneha Kohli Mathur, Kayleigh Hyde, Erik Linstead

Open access · goldAbstract read
In one paragraph

Article in Brain sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.4field-weighted citation impact, top 10% of its field
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

5 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. 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

6 authors at 1 institution in 1 country.

Amy Jane GriffithsAttallah College of Educational Studies, Chapman University, One University Drive, Orange, CA 92866, USA.
Amy Hurley HansonArgyros School of Business and Economics, Chapman University, One University Drive, Orange, CA 92866, USA.
Cristina M GiannantonioArgyros School of Business and Economics, Chapman University, One University Drive, Orange, CA 92866, USA.
Sneha Kohli MathurAttallah College of Educational Studies, Chapman University, One University Drive, Orange, CA 92866, USA.
Kayleigh HydeSchmid College of Science and Technology, Chapman University, One University Drive, Orange, CA 92866, USA.
Erik LinsteadFowler School of Engineering, Chapman University, One University Drive, Orange, CA 92866, USA.ORCID 0000-0003-0174-7002
Chapman University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An online survey instrument was developed to assess employers' perspectives on hiring job candidates with Autism Spectrum Disorder (ASD). The investigators used K-means clustering to categorize companies in clusters based on their hiring practices related to individuals with ASD. This methodology allowed the investigators to assess and compare the various factors of businesses that successfully hire employees with ASD versus those that do not. The cluster analysis indicated that company structures, policies and practices, and perceptions, as well as the needs of employers and employees, were important in determining who would successfully hire individuals with ASD. Key areas that require focused policies and practices include recruitment and hiring, training, accessibility and accommodations, and retention and advancement.

Indexed as

autism spectrum disorderemploymentmachine learning

Identifiers

PMID32932845
PMCPMC7564237
OpenAlexW3086445753

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.