The diversity effect in diagnostic reasoning.

Diagnostic reasoning draws on knowledge about effects and their potential causes. The causal-diversity effect in diagnostic reasoning normatively depends on the distribution of effects in causal structures, and thus, a psychological diversity effect could indicate whether causally structured knowled...

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Publicado en:Memory & Cognition Vol. 44; no. 5; pp. 789 - 806
Autores principales: Rebitschek, Felix, Krems, Josef, Jahn, Georg
Formato: Artículo
Publicado: Springer Nature Jul2016
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Acceso en línea:Ver este registro en EBSCOhost
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      dt: Jul2016
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      pub: Springer Nature
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        atl: The diversity effect in diagnostic reasoning.
      aug:
        au:
          Rebitschek, Felix
          Krems, Josef
          Jahn, Georg
        affil:
          Center for Adaptive Behavior and Cognition, Max Planck Institute for Human Development, Lentzeallee 94 14195 Berlin Germany
          Department of Psychology, Technische Universität Chemnitz, Chemnitz Germany
      su:
        Attribution (Social psychology)
        Decision making
        Diagnosis
        Probability theory
        Symptoms
      sug:
        subj:
          Attribution (Social psychology)
          Decision making
          Diagnosis
          Probability theory
          Symptoms
      keyword:
        Alternative causation heuristic, Suppression effect
        Causal diversity effect
        Diagnostic reasoning
        Alternative causation heuristic, Suppression effect
        Causal diversity effect
        Diagnostic reasoning
      ab: Diagnostic reasoning draws on knowledge about effects and their potential causes. The causal-diversity effect in diagnostic reasoning normatively depends on the distribution of effects in causal structures, and thus, a psychological diversity effect could indicate whether causally structured knowledge is used in evaluating the probability of a diagnosis, if the effect were to covary with manipulations of causal structures. In four experiments, participants dealt with a quasi-medical scenario presenting symptom sets (effects) that consistently suggested a specified diagnosis (cause). The probability that the diagnosis was correct had to be rated for two opposed symptom sets that differed with regard to the symptoms' positions (proximal or diverse) in the causal structure that was initially acquired. The causal structure linking the diagnosis to the symptoms and the base rate of the diagnosis were manipulated to explore whether the diagnosis was rated as more probable for diverse than for proximal symptoms when alternative causations were more plausible (e.g., because of a lower base rate of the diagnosis in question). The results replicated the causal diversity effect in diagnostic reasoning across these conditions, but no consistent effects of structure and base rate variations were observed. Diversity effects computed in causal Bayesian networks are presented, illustrating the consequences of the structure manipulations and corroborating that a diversity effect across the different experimental manipulations is normatively justified. The observed diversity effects presumably resulted from shortcut reasoning about the possibilities of alternative causation.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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