Iowa Vocational Rehabiliation Services provides resources and training to individuals with disabilities in order to facilitate better job placement. The dataset analyzed contains information on cases where services were terminated, either due to successful completion of the program, or individual opt-out.
The general goal of this analysis is to understand sucessful and unsuccessful outcomes related to the program. After a general overview is achieved, individual analysis focusing on demogramics, disability types, and geographic locations will be explored.
Outcomes can be treated as successful when an individual increases their hourly income, and unsuccessful when individuals opt-out of the program or see no pay increase. The dollar increase in income can be used to measure level of success. Specifically:
In general, success is considered as any case where an invidual increased their hourly pay at the time their account was closed.
Recieving an hourly pay raise greater than 11 dollars is considered high level success. This corresponds to the last two categories of success level.
Generally, the program has a higher number of success than failures (Figure 1). However, of these successes, there are a higher number of low level pay increases (between 0 and 10 dollars), than there are high level pay increases (greater than 11 dollars) (Figure 2). Overall, the number of instances in each category decreases as the pay increases, however, this is distored in the overall display due to the fact that those without a job will start at minimum wage. Figure 3 demonstrates this effect.
Suprisingly, there are cases where individuals without jobs do start below minimum wage, however, this could be due to employment in service industries which supplement hourly wages by allowing for tipping. There are also individuals that start the program with jobs and are still able to increase their hourly pay by 15 dollars or more (Figure 3).
## `summarise()` has grouped output by 'success_level'. You can override using the `.groups` argument.
In general, there appears to be a negative relationship between the number of cases opened and the proportion of successes. This can be seen by the fact that the number of opened cases has been increasing since 2012 (Figure 4), while the proportion of successes has been decreasing (Figure 5). Also, in almost every year for which the number of opened cases exceeded the average (Figure 4), the proportion of successes was less that 50% (Figure 5).
Future analysis may explore if this relationship is due to the added pressure on staffing when case load increases. This would require data to be gathered on the amount of time allocated for clients, which is currently unreported.
## `summarise()` has grouped output by 'fiscal_year', 'gender'. You can override using the `.groups` argument.
The number of males and females involved with the service, as well as the proporiton of success for each, is relatively similar (Figure 6). There does appear to be some slight variation in the proportion of high level outcomes, with males seeing a greater proportion of 11 dollar or greater hourly pay increases.
The number of individuals recieving services who are listed with minority status is far less than the number with non-minority status (Figure 7). Those with minority-status also have a higher proportion of failures, and a smaller proportion of high level outcomes, compared to those with non-minority status.
## `summarise()` has grouped output by 'gender'. You can override using the `.groups` argument.
## `summarise()` has grouped output by 'minority_group'. You can override using the `.groups` argument.