A Meta-Analytic Review of Two Modes of Learning and the Description-Experience Gap.

People can learn about the probabilistic consequences of their actions in two ways: One is by consulting descriptions of an action's consequences and probabilities (e.g., reading up on a medication's side effects). The other is by personally experiencing the probabilistic consequences of an action (...

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Published in:Psychological Bulletin Vol. 144; no. 2; pp. 140 - 177
Main Authors: Wulff, Dirk U., Mergenthaler-Canseco, Max, Hertwig, Ralph
Format: Article
Published: American Psychological Association Feb2018
Subjects:
Online Access:View this record in EBSCOhost
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      dt: Feb2018
      vid: 144
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      pub: American Psychological Association
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        10.1037/bul0000115
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        atl: A Meta-Analytic Review of Two Modes of Learning and the Description-Experience Gap.
      aug:
        au:
          Wulff, Dirk U.
          Mergenthaler-Canseco, Max
          Hertwig, Ralph
        affil: Max Planck Institute for Human Development, Berlin, Germany
      su:
        Choice (Psychology)
        Experience
        Probabilism
        Meta-analysis
        Commercial product testing
      sug:
        subj:
          Choice (Psychology)
          Experience
          Testing Laboratories
          Probabilism
          Meta-analysis
          Commercial product testing
      keyword:
        decisions from experience
        expected value maximization
        exploration-exploitation
        recency
        risky choice
        decisions from experience
        expected value maximization
        exploration-exploitation
        recency
        risky choice
      ab: People can learn about the probabilistic consequences of their actions in two ways: One is by consulting descriptions of an action's consequences and probabilities (e.g., reading up on a medication's side effects). The other is by personally experiencing the probabilistic consequences of an action (e.g., beta testing software). In principle, people taking each route can reach analogous states of knowledge and consequently make analogous decisions. In the last dozen years, however, research has demonstrated systematic discrepancies between description- and experienced-based choices. This descriptionexperience gap has been attributed to factors including reliance on a small set of experience, the impact of recency, and different weighting of probability information in the two decision types. In this meta-analysis focusing on studies using the sampling paradigm of decisions from experience, we evaluated these and other determinants of the decision-experience gap by reference to more than 70,000 choices made by more than 6,000 participants. We found, first, a robust description-experience gap but also a key moderator, namely, problem structure. Second, the largest determinant of the gap was reliance on small samples and the associated sampling error: free to terminate search, individuals explored too little to experience all possible outcomes. Third, the gap persisted when sampling error was basically eliminated, suggesting other determinants. Fourth, the occurrence of recency was contingent on decision makers' autonomy to terminate search, consistent with the notion of optional stopping. Finally, we found indications of different probability weighting in decisions from experience versus decisions from description when the problem structure involved a risky and a safe option.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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