Purpose: This study explored the potential long-term effects of academic-related variables, including academic satisfaction, college degree attainment, unmet academic accommodation needs, and demographic characteristics on the job and career satisfaction of adults with disabilities using modern machine learning techniques. Method: Participants (n = 409) completed an online survey assessing these constructs. All had a disability or chronic health condition, had attended school in the U.S. throughout their K-12 education, and were between 19 and 86 years of age. Results: The random forest models had 68.6% accuracy in correctly identifying job satisfaction and 72.5% accuracy in correctly identifying career satisfaction. When using mean decrease in impurity (MDI) and permutation importance to identify statistical predictors, academic satisfaction was the most important predictor of job satisfaction in both MDI and permutation importance, while unmet academic accommodations was the fourth highest predictor for MDI behind academic satisfaction, disability level, and age, but ahead of other demographic variables and college degree status, and the second highest predictor of job satisfaction in permutation importance. For career satisfaction, academic satisfaction accounted for the highest MDI, while unmet academic accommodations ranked fourth. For permutation importance, academic satisfaction ranked first, and unmet academic accommodations ranked fifth behind academic satisfaction, age, college degree status, and disability level. Discussion: Meeting the academic accommodation needs of disabled students is linked with lasting vocational success. This study underscores the associations between unmet academic accommodation needs and future job and career satisfaction, illuminated using novel machine learning techniques. To our knowledge, this is the first investigation of the potential long-term associations between unfulfilled accommodation needs and future job and career satisfaction.

Purpose/Objective: Children with disabilities are at a greater risk of being bullied and experience mental health and academic problems that may persist in adulthood. This study examined the association of childhood bullying experiences with current mental health (anxiety and depression) among adults with disabilities, and whether academic satisfaction mediated the relationship between childhood bullying and adult mental health outcomes. Research Method/Design: A sample of 409 adult participants with disabilities who had had their disabilities while attending school, and currently, completed an online survey assessing bullying experiences (California Bullying Victimization Scale-Retrospective), academic satisfaction (Academic Satisfaction Scale), depression (Patient Health Questionnaire-9), and anxiety (Generalized Anxiety Disorder-7). Bivariate correlations and two mediation analyses were conducted to identify the direct and indirect effects of school bullying experiences on current mental health outcomes, via academic satisfaction. Results: Participants reported a moderate amount of childhood bullying and relatively high levels of depression and anxiety symptomology (with averages close to or exceeding clinical cutoffs of 10). Bivariate correlations among the four variables were all significantly moderately or strongly correlated. Bullying and academic satisfaction had direct associations with depression and anxiety. Academic satisfaction partially mediated the relationships between bullying and both mental health outcomes. Conclusions/Implications: Bullying prevention interventions and programs, especially geared toward preventing bullying in students with disabilities, are critical to stop the likely long-term impacts of bullying on mental health outcomes in disabled communities.