Titre :
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Survey on the use of clinical and mechanical prediction methods in clinical psychology (2009)
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Auteurs :
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Scott I. VRIEZE, Auteur ;
William M. GROVE, Auteur
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Type de document :
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Article : document électronique
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Dans :
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Professional Psychology: Research and Practice (Vol.40 - N°5, October 2009)
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Article en page(s) :
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pp. 525-531
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Langues:
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Anglais
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Index. décimale :
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SM.31 (Évaluation en santé mentale )
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Catégories :
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BILAN PSYCHOLOGIQUE
CLINIQUE
DEMARCHE CLINIQUE
ETUDE DE COHORTE
EVALUATION
PSYCHIATRE
PSYCHOLOGUE
PSYCHOTHERAPIE
RAISONNEMENT CLINIQUE
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Résumé :
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We surveyed 491 American Psychological Association division 12 (clinical psychology) members regarding their professional use of clinical and mechanical data combination (CC and MC) in making clinical predictions; 183 (37%) responded. This is the first report of CC and MC utilization frequency known to us. Nearly all respondents used CC in practice (98%), while fewer used MC (31%). Respondents gave reasons why they did not use MC, the most common being that it is conceptually misguided. In addition to computing odds ratios for variable comparisons, we constructed a multivariate regression model to predict use of MC, using a bootstrapping method that returns an estimate of the models cross-validated validity. This procedure returned the null model: no predictor was powerful enough to replicate upon cross-validation. The extent to which MC was discussed in graduate school significantly mediated nearly all other relationships between variables of interest. Implications of these findings are discussed. [Résumé d'éditeur]
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Article disponible :
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CRIAVS Franche-Comté
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Type de document CRIAVS :
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Article
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