| 000 | 01233cam a2200181 4500500 | ||
|---|---|---|---|
| 005 | 20250121074227.0 | ||
| 041 | _afre | ||
| 042 | _adc | ||
| 100 | 1 | 0 |
_aBiland, Émilie _eauthor |
| 700 | 1 | 0 |
_a Eideliman, Jean-Sébastien _eauthor |
| 700 | 1 | 0 |
_a Gojard, Séverine _eauthor |
| 245 | 0 | 0 | _aCeteris (non) Paribus? Combining Logistical Regression and Data Analysis to Study the Practical Arrangements of Disabled or Dependent Persons |
| 260 | _c2009. | ||
| 500 | _a59 | ||
| 520 | _aStarting 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. | ||
| 786 | 0 | _nGenèses | o 73 | 4 | 2009-02-19 | p. 37-56 | 1155-3219 | |
| 856 | 4 | 1 | _uhttps://shs.cairn.info/journal-geneses-2008-4-page-37?lang=en&redirect-ssocas=7080 |
| 999 |
_c490214 _d490214 |
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