Méthodes d'étude de l'adéquation au modèle logistique à un paramètre (modèle de Rasch)
Mathématiques et Sciences Humaines (1994)
- Volume: 127, page 19-47
- ISSN: 0987-6936
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topFlieller, André. "Méthodes d'étude de l'adéquation au modèle logistique à un paramètre (modèle de Rasch)." Mathématiques et Sciences Humaines 127 (1994): 19-47. <http://eudml.org/doc/94456>.
@article{Flieller1994,
abstract = {Le modèle de Rasch, ou modèle logistique de réponse à l'item à un paramètre, constitue une avancée méthodologique importante, mais l'étude de l'adéquation de données empiriques à ce modèle ne va pas sans problème. Après une brève présentation du modèle de Rasch, l'article discute certains problèmes généraux rencontrés dans les études d'adéquation. Vingt-quatre tests d'adéquation, graphiques et statistiques sont ensuite présentés et évalués. La nécessité d'employer plusieurs méthodes d'évaluation est soulignée dans la conclusion.},
author = {Flieller, André},
journal = {Mathématiques et Sciences Humaines},
keywords = {graphical methods; chi-square tests; residual based tests; Molenaar tests; one-parameter item response model; Rasch model; tests of item fit},
language = {fre},
pages = {19-47},
publisher = {Ecole des hautes-études en sciences sociales},
title = {Méthodes d'étude de l'adéquation au modèle logistique à un paramètre (modèle de Rasch)},
url = {http://eudml.org/doc/94456},
volume = {127},
year = {1994},
}
TY - JOUR
AU - Flieller, André
TI - Méthodes d'étude de l'adéquation au modèle logistique à un paramètre (modèle de Rasch)
JO - Mathématiques et Sciences Humaines
PY - 1994
PB - Ecole des hautes-études en sciences sociales
VL - 127
SP - 19
EP - 47
AB - Le modèle de Rasch, ou modèle logistique de réponse à l'item à un paramètre, constitue une avancée méthodologique importante, mais l'étude de l'adéquation de données empiriques à ce modèle ne va pas sans problème. Après une brève présentation du modèle de Rasch, l'article discute certains problèmes généraux rencontrés dans les études d'adéquation. Vingt-quatre tests d'adéquation, graphiques et statistiques sont ensuite présentés et évalués. La nécessité d'employer plusieurs méthodes d'évaluation est soulignée dans la conclusion.
LA - fre
KW - graphical methods; chi-square tests; residual based tests; Molenaar tests; one-parameter item response model; Rasch model; tests of item fit
UR - http://eudml.org/doc/94456
ER -
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