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Related Experiment Videos

Judging relationships between events: how do we do it?

Lorraine G Allan1, Jason M Tangen

  • 1Department of Psychology, McMaster University, Hamilton, Ontario. allan@mcmaster.ca

Canadian Journal of Experimental Psychology = Revue Canadienne De Psychologie Experimentale
|April 19, 2005
PubMed
Summary
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Associative models best explain human judgment of event relationships. However, recent findings suggest higher-order processes may challenge this view, prompting a review of the evidence.

Area of Science:

  • Cognitive psychology
  • Human observational learning
  • Event perception

Background:

  • Associative models were previously considered the optimal explanation for human judgment of binary event relationships.
  • Recent research has introduced data supporting the role of higher-order cognitive processes.
  • These newer findings have raised questions about the continued validity of purely associative accounts.

Purpose of the Study:

  • To review empirical evidence that has emerged since 1993 regarding human judgment of event relationships.
  • To evaluate the extent to which new data challenge established associative models.
  • To assess the overall viability of associative accounts in light of recent findings.

Main Methods:

  • Literature review of studies published in the intervening years.

Related Experiment Videos

  • Analysis of data presented in recent research on event relationship judgments.
  • Theoretical evaluation of competing explanations for observed human behavior.
  • Main Results:

    • Evidence for higher-order processes in human judgment has accumulated.
    • The impact of these findings on associative models varies depending on the specific task and data.
    • Some aspects of associative models remain robust, while others require modification.

    Conclusions:

    • The threat to associative models is significant but not necessarily fatal.
    • A comprehensive understanding may require integrating associative and higher-order processes.
    • Further research is needed to fully reconcile existing and new evidence.