communityinclusion/explorevr — pull request #7 by kartik0trivedi (2012-11-27 19:47:39+00:00)
Title: Added extra description for the third chart

Description -
The rehabilitation rates for each type of disability at agency level
were generated using RSA-911 FY2011 personal level data following these
steps.
1. Individuals were categorized into nine mutually exclusive disability
groups (Visual, Hearing, Orthopedic, Intellectual, Substance abuse,
Mental health, Learning disability, Traumatic brain injury and Other)
based on the primary impairment and cause of primary impairment
reported. Nine dichotomized dummy variables were created.
2. Individuals were categorized into two mutually exclusive outcome
groups—closed after an employment outcome with an IPE (Status 26) and no
employment outcome with an IPE (Status 28). Two binary dummy variables
were created for these two groups. We then created our new variable by
multiplication of the disability group with the outcome group:
a. Disability type with Status 26 (i.e. Visual x Status 26)
b. Disability type with the sum of Status 26 and Status 28 (i.e. [Visual
x (Status 26 + Status 28)]
3. We aggregated the sum of the two set of interactions calculated from
previous step to get agency level data from personal level data.
4. Finally, rehabilitation rate was calculated by dividing the total
number of status 26 of a specific disability by the total number of
IPEs (status 26 + Status 28) of that specific disability (i.e. ∑(Visual
x Status 26) / ∑ [Visual x (Status 26 + Status 28)].