Plateforme de veille scientifique et de revue de littérature basée sur PubMed
Alimenté par : Madeline Desmurs
Cette application est une plateforme collaborative de veille scientifique permettant d'importer des publications depuis PubMed, de suivre leur lecture, d'en extraire les éléments méthodologiques clés (protocole, variables, résultats), et de constituer une synthèse structurée pour faciliter la réalisation de revues de littérature.
Dernière synchronisation : 18/06/2026
J Pers Assess . 1996;67 (2) :272-84
Past research has found that very low scorers on the Beck Depression Inventory (BDI) tend to respond in a "fake-good" manner on the Minnesota Multiphasic Personality Inventory (MMPI) validity scales. This findings was interpreted as evidence of poor "low-end specificity." This study replicated and extended this work by evaluating the low-end specificity of four popular depression measures. The evidence of problems with low-end specificity was strong for the BDI and marginal for the Profile of Mood States depression subscale. Interestingly, MMPI scores in the "normal" range were associated with "fake-good" responding, whereas very low and high scores were not. There was no evidence of an association between fake-good responding and scores on Exner's Depression Index for the Rorschach. Implications of these findings and guidelines for dealing with problems with low-end specificity in research are discussed.