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Related Experiment Videos

Alignable and nonalignable differences in causal explanations.

Ann L McGill1

  • 1Graduate School of Business, University of Chicago, Illinois 60637, USA. ann.mcgill@gsb.uchicago.edu

Memory & Cognition
|June 14, 2002
PubMed
Summary
This summary is machine-generated.

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People’s causal explanations depend on how event features align. Distinctive features, whether alignable or nonalignable, influence how we understand cause and effect, depending on the event type.

Area of Science:

  • Cognitive Psychology
  • Causal Reasoning
  • Decision Making

Background:

  • Causal explanations often rely on distinctive features between an event and a non-occurrence.
  • Distinctive features can be alignable (shared characteristics) or nonalignable (unique characteristics).

Purpose of the Study:

  • To investigate how feature alignment influences the evaluation of causal explanations.
  • To determine if the type of event affects the impact of alignable versus nonalignable differences.

Main Methods:

  • Three experiments were conducted to test the hypothesis.
  • Participants' evaluations of causal explanations were analyzed based on feature alignment.

Main Results:

  • Evaluations of causal explanations differ based on whether features are alignable or nonalignable.

Related Experiment Videos

  • The impact of feature alignment is dependent on the specific type of event being explained.
  • Alignability itself is influenced by the relational structure of the event's features.

    • Conclusions:

    • Feature alignment is a critical factor in causal explanation evaluation.
    • Understanding the interplay between feature types and event characteristics is key to cognitive models of causality.