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Related Experiment Videos

Reconciling processing dynamics and personality dispositions

W Mischel1, Y Shoda

  • 1Department of Psychology, Columbia University, New York, New York 10027, USA. wm@psych.columbia.edu

Annual Review of Psychology
|March 13, 1998
PubMed
Summary

New research integrates personality psychology, social cognition, and neuroscience to understand personality stability. This approach links situational context to stable dispositions, reconciling trait and processing perspectives.

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Area of Science:

  • Personality Psychology
  • Social Cognition
  • Cognitive Neuroscience

Background:

  • Recent decades show advancements in personality-social psychology, social cognition, and cognitive neuroscience.
  • These fields have contributed to a developing understanding of personality dynamics and dispositions.

Purpose of the Study:

  • To reconceptualize personality stability by integrating diverse psychological and neuroscientific findings.
  • To link contextually sensitive processing dynamics with stable personality dispositions.
  • To reconcile dispositional (trait) and processing (social cognitive-affective-dynamic) approaches within a unified framework.

Main Methods:

  • Review and synthesis of recent findings from personality-social psychology.
  • Integration of social cognition and cognitive neuroscience perspectives.

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  • Reconceptualization of the nature and role of situations in personality.

    • Main Results:

    • Identification of a fundamental, previously overlooked type of personality stability.
    • Demonstration of how situational factors interact with processing dynamics.
    • Establishment of a link between contextually sensitive processing and stable dispositions.

    Conclusions:

    • A new conception of personality dynamics emerges, integrating trait and processing approaches.
    • The findings suggest a potential reconciliation of historically separate perspectives in personality psychology.
    • Further research is needed to fully realize the promise of this integrated framework.