Historique
Périodique
How can statistical approaches enhance transdisciplinary study of drug misuse prevention ?
(Comment les approches statistiques peuvent-elles améliorer l'étude transdisciplinaire de la prévention du mésusage des drogues ?)
Auteur(s) :
CHOU, C. P. ;
SPRUIJT-METZ D. ;
AZEN, S. P.
Année
2004
Page(s) :
1867-1906
Langue(s) :
Anglais
Domaine :
Plusieurs produits / Several products
Thésaurus mots-clés
RECHERCHE
;
INTERDISCIPLINARITE
;
MODELE STATISTIQUE
;
FACTEUR DE RISQUE
;
FACTEUR DE PROTECTION
;
PREVENTION
Note générale :
Substance Use and Misuse, 2004, 39, (10-12), 1867-1906
Note de contenu :
graph.
Résumé :
ENGLISH :
Application of statistical techniques in transdisciplinary research includes statistical model selection and model specification. This paper presents statistical models used in drug misuse prevention research. The historical roots of these models are discussed to illustrate the numerous disciplines from which different techniques originated. Single and multilevel approaches are described to illustrate methods of synthesizing perspectives from different scientific arenas. Using single-level approaches in transdisciplinary research, these models can easily incorporate broader theoretical considerations and more integrated hypotheses by representing each discipline with a set of variables. Simultaneous testing of every set of variables obtained from different disciplines may provide more comparable results to identify critical factors associated with substance-use behavior. Using multilevel approaches, more powerful syntheses across disciplines can be achieved by representing each discipline at a different level. (Editor's abstract.)
Affiliation :
Department of Preventive Medicine 1000 S. Fremont, Box 8, University of Southern California, Alhambra, CA 91803. E-mail : cchou@usc.edu
Etats-Unis. United States.
Etats-Unis. United States.