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A semi-structured interview was developed, which included open-ended questions. Open-ended questions were transferred into structured ratings

Treatment effect of OT was tested using the t test for continuous measures and the chi-squared test for categorical variables. For longitudinal analysis, the generalized estimating equations method for dichotomous outcomes and a generalized linear model approach for continuous outcomes was used.

The study questionnaire included the following measures. The Empowerment Among Users of Mental Health Services Scale; the Herth Hope Index, Perceived obstacles to work; and behaviours indicating nearness to the labour market. This questionnaire was usually completed during an approximately one hour face to face interview. The first was completed at baseline and another at follow up (12 months later).Statistically significant differences were tested. Analysis of variance was also used. SPSS 15.0 was used to analyze all data.

After acceptance into the study the Positive and Negative Syndrome Scale was conducted. Interviews were also conducted at baseline and then every 6 months over two and half years. Questions related to symptoms, jobs, hospitalizations and more. Program staff tracked job information. Employment data was also provided by staff or through interviews with participants. Each participant was followed for the study period or until he or she exited services. Time based analyses compared weekly employment and job placement rates for participants in each group. Binary employment outcomes were analyzed with generalized estimating equations of the Genmod procedure in SAS with a logit link function. Another group of job based analyses was also conducted to examine average job duration, hours and wages to compare outcomes from participants in the two groups. Spearman rank-order correlations between job duration, hours and wages were estimated to identify potential covariates in the hours and wages test model.

Open-ended interviews and on site observations were used to collect data. The interviews were guided by a script and recorded. Afterwards they were transcribed. The women were also observed while working as a member of an enclave. On site field observations lasted about 2 hours. The job coaches and family members were also interviewed. The data was analyzed using a constant comparative method. All interview and observational data were reviewed and coded. Some quotes were also selected to serve as exemplars of each woman's quality of life experience.

An Interview Skills Rating Instrument was developed by researchers. The first scale was Response Content: A 10 item scale that measures the content of the participant's response to 10 interview questions. The second scale: Response Delivery: 20 items that measure behaviors related to greetings and farewells (handshakes, eye contact, verbal greeting, verbal expression of appreciation at end of interview), as well as the non-verbal behaviors (body positioning, facial expressions) that accompany verbal responses during the actual interview questioning period.

Characteristics of study participants and interventions were summarized. Descriptive statistics were used to report study outcomes. No meta analysis was conducted.

The research measures included participant characteristics and employment. Control variables included: age, severity of psychiatric symptoms, severity of physical health problems and active substance use. Gender was also added.
Psychiatric symptoms were measured using the Positive and Negative Syndrome Scale. Physical health problems were measured through PANSS probes, Medicaid claims, and interviews. Substance abuse was identified through records, reports and interviews. Two motivational control variable were collected related to interest in working at baseline and match of random assignment to participant preference. The programs kept the same service logs and other records.
The data analysis plan included benchmark comparisons of program performance by using published outcome data from exemplary SE programs. A comparison of ACT and clubhouse outcomes was completed using a services of hierarchical regression analyses.

An independent retrospective evaluation of the SEE employment outcomes was conducted. In addition, the SEE program fidelity was assessed using the IPS Fidelity scale.
Data was selected from three major sources. Demographics, days in program, number of jobs held previously and self rating of "work readiness were collected from the SEE program records. The SEEIS database provided data related to each job obtained (i.e.. start and end date, hours worked, wages etc...) and services received (i.e.. benefits counseling, assistance with job related problems and workplace supports, disclosure of disability etc.... Behavioral health program records provided treatment plan information, clinical contact hours and diagnosis. The case management services client tracking system had information about the person's level of functioning at program exit.

Case study methodology was used to analyze variables influencing career choices for young women with learning disabilities. Multiple sources of information were used to confirm, elaborate and verify collected information. This included interviews with all participants and 28 key informants. Additionally, data was collected through on the job observations, field notes, and review of special education and vocational rehabilitation records. A multistep process was used in the first phase of analysis. Descriptive codes were developed based on literature, research questions and initial review of data. Next interview transcripts and field notes were coded following a common scheme. Then coded data and file review information were used to outline the career decision making process for each participant by examining variables that impacted each participant's career choices. In the second phase a explanatory methods were used to explore and confirm findings for each participant. Explanatory matrices were developed that allowed comparison of information on variables across participants. Cross case analysis led to identification and verification of influences on career decision.