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Related Experiment Video

Updated: Jun 1, 2026

Using Eye Movements to Evaluate the Cognitive Processes Involved in Text Comprehension
06:49

Using Eye Movements to Evaluate the Cognitive Processes Involved in Text Comprehension

Published on: January 10, 2014

Content-embedded tasks beat complex span for predicting comprehension.

Christopher A Was1, Katherine A Rawson, Heather Bailey

  • 1Kent State University, Kent, OH 44242, USA. cwas@kent.edu

Behavior Research Methods
|June 4, 2011
PubMed
Summary
This summary is machine-generated.

Working memory (WM) tasks that embed processing and maintenance demands are better predictors of discourse comprehension than complex span tasks. These findings highlight the importance of task design in understanding the WM-comprehension relationship.

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Related Experiment Videos

Last Updated: Jun 1, 2026

Using Eye Movements to Evaluate the Cognitive Processes Involved in Text Comprehension
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Examining Online Syntactic Processing of Spoken Complex Sentences in Chinese Using Dual-Modal Interference Tasks
08:32

Examining Online Syntactic Processing of Spoken Complex Sentences in Chinese Using Dual-Modal Interference Tasks

Published on: September 5, 2019

Area of Science:

  • Cognitive Psychology
  • Neuroscience
  • Educational Psychology

Background:

  • Discourse comprehension relies on actively maintaining information in working memory (WM).
  • Individual differences in WM capacity are thought to influence comprehension abilities.
  • Existing WM tasks may not fully capture the demands of real-time comprehension.

Purpose of the Study:

  • To compare the predictive power of content-embedded WM tasks versus complex span WM tasks on discourse comprehension.
  • To investigate which type of WM task better reflects the cognitive processes involved in understanding text.
  • To refine our understanding of the relationship between working memory and reading comprehension.

Main Methods:

  • 261 undergraduates completed three distinct content-embedded WM tasks.
  • Participants also completed three distinct complex span WM tasks.
  • Three measures of discourse comprehension were administered to all participants.

Main Results:

  • Structural equation modeling revealed that content-embedded tasks explained significantly more variance in comprehension scores than complex span tasks.
  • Content-embedded tasks demonstrated a stronger association with individual differences in discourse comprehension.
  • Complex span tasks, which involve maintaining extraneous information, were less effective predictors.

Conclusions:

  • WM tasks requiring the simultaneous processing and maintenance of task-specific information are superior for assessing the WM-comprehension link.
  • The findings suggest that content-embedded tasks offer a more ecologically valid measure of WM relevant to comprehension.
  • Future research should utilize content-embedded tasks to better understand cognitive individual differences in reading comprehension.