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Li, Jian; Roessler, Richard T.; Rumrill, Phillip D. Jr.; Krause, James – Rehabilitation Research, Policy, and Education, 2020
Background: Social and environmental participation endeavors are theorized to shape one's general satisfaction with the overall employment situation facing people with MS. Objective: Responding to a national survey of the employment concerns of Americans with multiple sclerosis (MS), this study examined the extent to which factors at the…
Descriptors: Job Satisfaction, Employment Level, Age Differences, Educational Attainment
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DeCoster, Vaughn A.; Killian, Tim; Roessler, Richard T. – Educational Gerontology, 2013
Using data collected from 147 predominately African American senior citizens in Arkansas, this research examined the Illness Intrusiveness Model (Devins, 1991; Devins & Seland, 1987; Devins & Shnek, 2000) to explain variations in wellness specifically related to participants' adaptation to diabetes. The theoretical model hypothesized that…
Descriptors: Diabetes, Wellness, Older Adults, African Americans
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Roessler, Richard T.; Rumrill, Phillip D., Jr. – Journal of Vocational Rehabilitation, 1998
A study of 41 employed people with chronic illness found that job satisfaction was related to accessibility, performance of essential functions, and job mastery. Reduction of workplace barriers to productivity through job accommodation and career counseling is needed. (SK)
Descriptors: Accessibility (for Disabled), Chronic Illness, Employment Services, Job Satisfaction
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Roessler, Richard T.; Fitzgerald, Shawn M.; Rumrill, Phillip D.; Koch, Lynn C. – Rehabilitation Counseling Bulletin, 2001
Identifies factors predicting employment or lack thereof among adults with multiple sclerosis (MS). Results included the following variables as the best predictors of employment: symptom persistence, severity of symptoms, educational attainment, and presence of cognitive limitations. The relevance of the findings for rehabilitation assessment and…
Descriptors: Chronic Illness, Educational Attainment, Employment Level, Predictor Variables