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Process-dissociation procedure: a testable model for considering assumptions about the stochastic relation between

Bianca Vaterrodt-Plünnecke1, Thomas Krüger, Jürgen Bredenkamp

  • 1Psychological Institute, University of Bonn, Römerstr. 164, D-53117 Bonn, Germany. vaterrodt@uni-bonn.de

Experimental Psychology
|April 27, 2002
PubMed
Summary

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This study introduces a new method to measure the relationship between controlled and automatic memory processes. It reveals two distinct types of conscious memory: voluntary and involuntary, each occurring with different probabilities.

Area of Science:

  • Cognitive Psychology
  • Neuroscience
  • Memory Research

Background:

  • The process-dissociation procedure is a key method for separating conscious and automatic memory processes.
  • Understanding the stochastic relationship between these processes is crucial for a comprehensive memory model.

Purpose of the Study:

  • To extend the process-dissociation procedure using wordstem completion to quantify the interplay between conscious and automatic memory.
  • To differentiate between voluntary and involuntary conscious memory processes.

Main Methods:

  • An indirect wordstem completion test was employed to measure conditional probabilities of conscious remembering.
  • A novel multinomial model was developed to analyze data from the extended process-dissociation procedure.
  • The model was applied to two experimental studies.

Related Experiment Videos

Main Results:

  • The extended procedure successfully determined conditional probabilities of conscious remembering.
  • The assumption of stochastic independence between conscious and automatic processes was frequently violated.
  • Violations were less pronounced than predicted by redundancy or exclusivity models.

Conclusions:

  • The study successfully distinguished between voluntary and involuntary conscious memory processes.
  • Each identified conscious memory process exhibits a unique probability of occurrence.
  • The findings challenge strict independence assumptions in memory models.