design of the sampling frame of the 2008 French survey on disability and health INSEE Loic Midy. Problem to solve: How can we get a high number of people with disability in the sample of our survey? Our solution: we do a two phase survey:
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This methodology will be of good quality only if all the 3 steps have themselves a good quality. This raises 3 issues tackled in this presentation
Global philosophy: disability\handicap is a multi dimensionnal issue. Backed by a study of the 1999 VQS data on the people aged 16 or more:
Dimensions included in the 2007 VQS
the intellectual and psychical handicap were not well detected with the 1999 VQS questions:
=> we added 4 questions to detect those handicap.
Those 4 questions where asked in another survey on adults asking an official recognition of handicap where the real impairment is available (coded by a general practitionner using the medical files)
We used 2 methods to classify VQS respondant:
How can we assign a weight to each answer?
In 1999 we had a VQS survey and then a disability survey called HID.
We detect the VQS 1999 questions explaining the best one HID variable by a logistic regression
=> Gives an idea of the most important VQS questions BUT not perfect nor complete because VQS 1999 and VQS 2007 are not all the same (questions added, deleted, reformulated)
The steps are:
We should estimation confidence interval on variable of interest to answer BUT is this case the calculus are very difficult=> study of the dispersion of the weight.