Ceteris (non) Paribus? Combining Logistical Regression and Data Analysis to Study the Practical Arrangements of Disabled or Dependent Persons
Biland, Émilie
Ceteris (non) Paribus? Combining Logistical Regression and Data Analysis to Study the Practical Arrangements of Disabled or Dependent Persons - 2009.
59
Starting from the statistical use of the INSEE survey on “Handicaps, disabilities, dependence”, this article brings out the comparative contributions of two statistical methods: factorial analysis and regression. These tools should be used in combination: by separating the influences of the different variables structuring the disabled person’s recourse to help using regression analysis, and then studying how they interact using factorial analysis, it is possible to identify the diverse practical arrangements introduced by people facing problems in their daily life.
Ceteris (non) Paribus? Combining Logistical Regression and Data Analysis to Study the Practical Arrangements of Disabled or Dependent Persons - 2009.
59
Starting from the statistical use of the INSEE survey on “Handicaps, disabilities, dependence”, this article brings out the comparative contributions of two statistical methods: factorial analysis and regression. These tools should be used in combination: by separating the influences of the different variables structuring the disabled person’s recourse to help using regression analysis, and then studying how they interact using factorial analysis, it is possible to identify the diverse practical arrangements introduced by people facing problems in their daily life.
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