Predicting the effect of disability on employment status and income.
Research shows that participation in employment contributes to life satisfaction for persons with disabilities [18]. Title I of the Americans with Disabilities Act (ADA) sought to prohibit discrimination against persons with disabilities in the workplace, however, the ADA's effectiveness remains con...
| Publicado en: | Work Vol. 23; no. 3; pp. 257 - 267 |
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| Autor principal: | |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Sage Publications Inc.
2004
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=106612156&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 106612156 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10519815 3RC jtl: Work issn: 10519815 maglogo: N pubinfo: dt: 2004 vid: 23 iid: 3 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 106612156 106612156 2005073635 10.3233/wor-2004-00401 NLM15579934 106612156 ppf: 257 ppct: 10 formats: fmt: @attributes: type: P tig: atl: Predicting the effect of disability on employment status and income. aug: au: Randolph DS affil: Saint Louis University, Department of Occupational Science and Occupational Therapy, 3437 Caroline St., Suite 2020, St.Louis, MO 63104; randolds@slu.edu sug: subj: Persons with Disabilities Employment Status Income Adult Age Factors Black Persons Descriptive Statistics Female Hispanic Americans Male Middle Age P-Value Predictive Research Predictive Value of Tests Race Factors Regression Sex Factors White Persons Human Adult: 19-44 years Middle Aged: 45-64 years Female Male ab: Research shows that participation in employment contributes to life satisfaction for persons with disabilities [18]. Title I of the Americans with Disabilities Act (ADA) sought to prohibit discrimination against persons with disabilities in the workplace, however, the ADA's effectiveness remains controversial. This research utilizes data from the disability supplement of the 2000 Behavioral Risk Factor Surveillance System to examine the impact of disability status on predicting employment status and income. Confounding variables such as gender, age, educational level, race and marital/parental status are examined regarding their influence on results. Results from analysis utilizing zero-order correlation, linear and logistic regression analysis techniques revealed that disability status has a significant predictive effect on inability to work. Furthermore, results continue to show that despite legislation, the higher the level of disability, the lower the employment status (those employed for wages) and income. Finally, disability status, coupled with being female or decreased educational level, consistently shows significance in predicting lower employment status and income than men or non-minorities with disabilities. Future research opportunities and policy implications are discussed with regard to the results presented. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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