How Degree Major and Demographic Factors Influence Employment and Earnings for College Graduates With Visual Impairments

Author:

McDonnall Michele C.1ORCID,Cmar Jennifer L.1ORCID,McKnight Zhen1

Affiliation:

1. Mississippi State University, USA

Abstract

The purpose of this study was to investigate the predictors of employment and earnings for college graduates with visual impairments, with an emphasis on the impact of college degree major on these outcomes. We utilized American Community Survey data to conduct a multinomial logistic regression analysis predicting employment (full-time/full-year versus less than full-time/full-year and not working) and a multiple regression analysis predicting annual earnings. Our predictor variables included demographic factors previously related to employment outcomes plus 25 college degree majors. Degree majors explained little variance in employment and earnings, although several specific majors were associated with these outcomes. Five majors predicted both: Computer Science, Electrical Engineering, Nursing, Accounting, and Finance. Age, gender, race, receipt of Social Security benefits, additional disabilities, having an advanced degree, and class of worker (earnings model only) were stronger predictors of employment outcomes than degree major. Degree majors that had significant relationships with earnings and employment in our study generally coincide with those for the general population. Vocational rehabilitation counselors should inform their consumers with visual impairments who are pursuing a college degree of differences in earnings and employment rates based on degree major.

Funder

National Institute on Disability, Independent Living, and Rehabilitation Research

Publisher

SAGE Publications

Subject

Public Health, Environmental and Occupational Health,Applied Psychology,Rehabilitation

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3