Design of the sampling frame of the 2008 french survey on disability and health insee loic midy
This presentation is the property of its rightful owner.
Sponsored Links
1 / 16

design of the sampling frame of the 2008 French survey on disability and health INSEE Loic Midy PowerPoint PPT Presentation


  • 51 Views
  • Uploaded on
  • Presentation posted in: General

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:

Download Presentation

design of the sampling frame of the 2008 French survey on disability and health INSEE Loic Midy

An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -

Presentation Transcript


design of the sampling frame of the 2008 French survey on disability and healthINSEE 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:

    • Step 1: we did in 2007 a short survey called VQS on 140 000 households

    • Step 2: we classify VQS respondants into stratums of assumed severity of disability

    • Step 3 : the sample of the disability survey (size 39 000) is a stratified sampling on those stratums


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

  • Issue 1 (linked to step 1): how should we design the short set of questions of VQS in order to detect people with disability?

  • Issue 2 (linked to step 2): how should we do the classification of VQS respondants into stratums of severity of disability?

  • Issue 3 (linked to step 3):what rules should the stratified sampling of the disability survey follow?


Issue 1: design of VQSquestions

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:

  • 2,4% persons declared a global limitation for 6 months or more but not a single functionnal limitations (7 questions).

  • 13,3% persons declared a least one functionnal limitation but no global limitation for 6 months or more.

  • 14% of the persons who have an official recognition of a disability\ handicap don’t think they have a disability\ handicap !!!


Issue 1 (2)

Dimensions included in the 2007 VQS

  • Questions on health (mini module 1 and 2)

  • Question on limitation (mini module 3)

  • Questions on functionnal limitations

  • Questions on help (human, technical, and housing adaptations)

  • Question on self perception of handicap

  • Question on official recognition of handicap


Issue 1 (3)

the intellectual and psychical handicap were not well detected with the 1999 VQS questions:

  • 48% of HID respondants who declared that they often put themselves in danger answered NO to all 1999 VQS questions.

  • 63% of HID respondants who declared that people often reproached them to be to agressive or to impulsive answered NO to all 1999 VQS questions.


Issue 1 (4)

=> 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)


Issue 1 (5)


Issue 2

We used 2 methods to classify VQS respondant:

  • One is based on a score

  • The second is a mixed classification


Issue 2: score

Principle:

  • A note is assigned to each answer. Ex: question How is your health in general

    • Answer very bad=>5 points

    • Answer bad=>3 points

  • Final score for a person=(sum of note)\ (maximum sum of note)*100 => partial non response taken into account

  • Allocation of each person to a stratum according to his score (ex: if score>80 => stratum 4).

    • Arbitrary threshold

    • OR hierachical classification on a sample of persons on variable final score


Issue 2 (2)

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)


Issue 2 : mixed classification

The steps are:

  • Basic imputation on missing data : non response => imputation answer NO.

  • Analysis of multiples correspondancies (ACM)

  • Classification (mobile centers méthod: SAS: FASTCLUS) on the firsts axes of the ACM=> 10 000 clusters

  • Hierarchical classification (SAS: CLUSTER) on the 10 000 clusters


Issue 2 (2): comparisons (temporary data)


Issue 3

  • what rules should the stratified sampling of the disability survey follow?

  • We have 4 stratums of severity of handicap from 1 (no handicap at all) to 4 (important handicap).

  • We sample 100% of people in stratum 4. The main question is which percentage of people should we sample in stratum 1?


Issue 3 (2)

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.


  • Login