La modélisation (principalement par régression) (notice n° 239166)
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|---|---|
| fixed length control field | 02320cam a2200289 4500500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20250112064745.0 |
| 041 ## - LANGUAGE CODE | |
| Language code of text/sound track or separate title | fre |
| 042 ## - AUTHENTICATION CODE | |
| Authentication code | dc |
| 100 10 - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Fischer, Jean-Paul |
| Relator term | author |
| 245 00 - TITLE STATEMENT | |
| Title | La modélisation (principalement par régression) |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Date of publication, distribution, etc. | 2022.<br/> |
| 500 ## - GENERAL NOTE | |
| General note | 34 |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | La régression statistique est une technique très utilisée. Néanmoins, elle soulève encore de nombreux problèmes, qui sont parfois de véritables chausse-trappes et qui n’ont pas toujours de solution simple. La présente contribution essaie d’en discuter quelques-uns, sur des exemples généralement tirés de la didactique ou de l’éducation. Ils sont intitulés et présentés comme suit : (1) le soi-disant contrôle de variables ; (2) les variables colinéaires ; (3) les variables de confusion ; (4) la variable collider ; (5) interprétations prédictive vs contrefactuelle ; (6) le problème fondamental de l’interprétation causale ; (7) la salade causale ; (8) la régression vers la moyenne ; (9) une complication due à l’approche bayésienne ; (10) que d’incertitudes ! |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Statistical regression is a widely used technique. Nevertheless, it still raises many problems, which are sometimes real pitfalls and do not always have simple solutions. The present contribution tries to discuss some of them, on examples generally taken from didactics or education. They are entitled and presented as follows: (1) The so-called control of variables; (2) Collinear variables; (3) Confounding variables; (4) The collider variable; (5) Predictive vs. counterfactual interpretations; (6) The fundamental problem of causal interpretation; (7) Causal salad; (8) Regression to the mean; (9) A complication due to the Bayesian approach; (10) What uncertainties! |
| 690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
| Topical term or geographic name as entry element | colinéarité |
| 690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
| Topical term or geographic name as entry element | causalité |
| 690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
| Topical term or geographic name as entry element | régression statistique |
| 690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
| Topical term or geographic name as entry element | approche bayésienne |
| 690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
| Topical term or geographic name as entry element | incertitude |
| 690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
| Topical term or geographic name as entry element | collinearity |
| 690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
| Topical term or geographic name as entry element | causality |
| 690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
| Topical term or geographic name as entry element | statistical regression |
| 690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
| Topical term or geographic name as entry element | uncertainty |
| 690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
| Topical term or geographic name as entry element | Bayesian approach |
| 786 0# - DATA SOURCE ENTRY | |
| Note | Éducation & didactique | 16 | 3 | 2022-12-05 | p. 175-187 | 1956-3485 |
| 856 41 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://shs.cairn.info/revue-education-et-didactique-2022-3-page-175?lang=fr">https://shs.cairn.info/revue-education-et-didactique-2022-3-page-175?lang=fr</a> |
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