Employers’ Expectations of Employability Skills for People With and Without Disabilities in the United States and China

People with disabilities (PWD) continue to experience persistent employment disparities worldwide, and employers’ expectations of employability skills play an important role in shaping hiring decisions and employment opportunities. However, little is known about whether these expectations are comparable across cultural contexts or countries. This study had two primary purposes: (a) to examine the cross-cultural measurement validity of the Employability Rating Scale (ERS) across employers in the United States and China and (b) to compare employers’ expectations of employability skills for entry-level employees with and without disabilities between the two countries. Multiple-group confirmatory factor analysis was conducted to evaluate measurement invariance prior to conducting latent mean comparisons. Employers in both countries reported higher expectations for employees without disabilities than for employees with disabilities, but the magnitude and pattern of these differences varied across countries. These findings support the cross-cultural applicability of the ERS and demonstrate that employer expectations are shaped by both disability status and broader cultural and policy contexts. The results have implications for disability policy, transition planning, and employer-focused interventions aimed at improving employment outcomes for PWD.

Authors

Institutions

Publication Details

Journal
Journal of Disability Policy Studies
Published
2026-10-17
DOI
https://doi.org/10.1177/10442073261494172
Primary Topic
Disability Education and Employment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Employers’ Expectations of Employability Skills for People With and Without Disabilities in the United States and China

Mark H. C. Lai, Wen Zeng, Song Ju, Meltem Özcan et al.
Journal of Disability Policy Studies
Disability Education and Employment
article

Employers’ Expectations of Employability Skills for People With and Without Disabilities in the United States and China

Mark H. C. Lai, Wen Zeng, Song Ju, Meltem Özcan, Jia Li
article en

Abstract

People with disabilities (PWD) continue to experience persistent employment disparities worldwide, and employers’ expectations of employability skills play an important role in shaping hiring decisions and employment opportunities. However, little is known about whether these expectations are comparable across cultural contexts or countries. This study had two primary purposes: (a) to examine the cross-cultural measurement validity of the Employability Rating Scale (ERS) across employers in the United States and China and (b) to compare employers’ expectations of employability skills for entry-level employees with and without disabilities between the two countries. Multiple-group confirmatory factor analysis was conducted to evaluate measurement invariance prior to conducting latent mean comparisons. Employers in both countries reported higher expectations for employees without disabilities than for employees with disabilities, but the magnitude and pattern of these differences varied across countries. These findings support the cross-cultural applicability of the ERS and demonstrate that employer expectations are shaped by both disability status and broader cultural and policy contexts. The results have implications for disability policy, transition planning, and employer-focused interventions aimed at improving employment outcomes for PWD.

Journal of Disability Policy Studies
University of Southern California (US), University of Macau (MO), University of Missouri–St. Louis (US), University of Cincinnati (US), Nanjing University (CN)
Decent work and economic growth, Reduced inequalities
Openalex Percentile: Top 8%
Disability Education and Employment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.