Asian

Assessment was conducted a minimum number of four times: at enrollment, three months after entry, and every three months thereafter until attempted entry to post-secondary education or employment. In addition, each mentor and mentee completed a questionnaire which documented satisfaction with the relationship. Finally, the program used standardized assessments to include the Disability Rating Scale to include Employability and Level of Functioning, the Participation Index of the Mayo-Portland Adaptability Inventory, version 4, the Supervision Rating Scale, the Craig Handicap Assessment and Reporting Technique Short Form, and the Diener Satisfaction with Life Scale. A successful transition was as the individual remained in the post-secondary education or employment environment.

Data were collected by mentors and project staff. Formal assessments were collected by trained research assistants. Mentors submitted meeting logs documenting when, where, and topics discussed. Data were stored in an Access database and descriptive and inferential analyses were conducted using SPSS. Pre and post test program scores on standardized outcome measures were compared by paired T-tests.

Study participants were randomly assigned into the ISE (n = 58), IPS (n = 65) and traditional vocational rehabilitation (TVR) (n = 66) groups. Vocational and non-vocational outcomes of the ISE and IPS participants were collected by a blind and independent assessor at 7 11, 15, 21, 27, 33 and 39 months after their admission, whereas the TVR groups were assessed only up to the 15th month follow up.

Data collection involved the following: Employment Outcome Checklist (EOC) assessed their employment outcomes such as the number of job interviews attended, the number of jobs obtained, number of hours per week worked, and salary received from each of the jobs that were obtained . The 21-item Chinese Job Stress Coping Scale (CJSC) assessed the coping strategies of participants when faced with job stress, using a five-point response scale ranging from 1 (hardly ever do this) to 5 (almost always do this). The coping dimensions included help seeking, positive self-appraisal, work adjustment, and avoidance. The Chinese Job Termination Checklist (CJTC) is the Chinese version of the Job termination Scale.

The following techniques were used t-tests, chi-square, logistic regression, and repeated measures ANOVA to analyze the data. Alpha for significance was set at p < .05, and all tests were two-tailed. Cohen's d effect sizes to provide estimates of the magnitude of effects was also calculated.

Information was collected from the application process and a brief interviews at scheduled times to gain insight into the person's employment status, wage earned, hours worked, and employer paid benefits. The Supports Intensity Scale was also used to assess adaptive behavior and intensity of support needs. The six subscales used were: home living, community living, lifelong learning, employment, health and safety, and social. The SIS allowed the examiners to identify the types of work supports individuals required and provided a measure of the overall adaptive behavioral support needs of participants at baseline. Data collectors were trained in the administration of the instrument and inter-rater reliability was high 92.5%.Preliminary analysis included frequencies, means, standard deviations and distribution of scores.

The specific variables measured in this study included: the influence of duration of community-based training (CBT) that included on-the-job training, on the-job training as a subset of CBT, the least restrictive environment (LRE), or the degree of integration with non-disabled peers during the school day, demographics(gender, ethnicity, home setting, behavior problems, physical disability and mental ability) as measured by
intelligence quotient (I.Q.).Data was collected by structured interview with teachers and administrators, record review and on site observations. Correlations were used to examine predictive relationships between the independent variables and the dependent variable of post-school integrated employment. Cross tabulations and chi-square analysis of correlated variables were then used to identify significance of specific variables on employment outcome.

A number of variables were examined in the study. This included: successful employment outcome, hours worked and wages and the cost of services. Data was pulled for all of the United States. Washington DC and US territories were excluded. Data from each state and year was reported for each study question. In order to identify trends data from 2002 to 2006 was compared to 2007 to 2011 and regression analysis was used to evaluate the data. Mean data for the total transition population served by VR was compared to the ASD group and t test statistics were used to compare outcomes between the two groups.

Clinical records since the onset of illness were reviewed for each participant.

Interviews were used to gain information about demographics, employment histories, income sources and amounts, clinical symptoms and other relevant information at the beginning of the study and then at 6 month intervals for 24 months. A variety of employment data was gathered such as hours worked, wages, job duties, benefits. Psychiatric symptoms were assessed using the PANSS a semi structured rating scale.
Bivariate analysis were conducted to test for significant differences in study conditions. Two vocational outcome variables were computed for every month of the 24 month follow up period: competitive employment and work for 40 or more hours in a single month. The independent variable was the local unemployment rate for the geographic area surrounding each program. Some demographic and clinical covariates that should be included in multivariate models predicting employment were excluded due to their high correlation with other variables.
Unemployment rates over times were inspected for each of the seven states in which study sites were located. Then hierarchical random regression analysis using time varying and fixed covariates were used to determine the effect of unemployment rate on each of the two employment outcomes. Random effects logistic regression modeling, addressed issues found in longitudinal multi-site data such as missing observations, fixed versus time varying covariates and more.

The data consisted of patient clinical records related to HIV/AIDS treatment and symptoms and services delivered. Statistical analyses consisted of descriptive statistics and analysis of variance (ANOVA).