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Dual-task studies of working memory and arithmetic performance: A meta-analysis.

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Working memory load significantly slows arithmetic task speed by 7% to 19%. Central executive tasks had the largest impact, highlighting cognitive complexity

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Area of Science:

  • Cognitive Psychology
  • Neuroscience
  • Educational Psychology

Background:

  • Working memory is crucial for cognitive tasks, including arithmetic.
  • Previous research suggests a link between working memory capacity and arithmetic skills.
  • Dual-task paradigms are used to investigate cognitive load and performance trade-offs.

Purpose of the Study:

  • To meta-analytically assess the impact of working memory secondary tasks on arithmetic performance.
  • To identify moderators influencing the relationship between working memory load and arithmetic speed.
  • To reconcile findings from dual-task studies with correlational research on working memory and arithmetic.

Main Methods:

  • Meta-analysis of 21 studies including 1,049 participants and 400 effect sizes.
  • Analysis of dual-task experiments manipulating working memory load.
  • Statistical examination of moderators: working memory load type, arithmetic task type, and predicted significance.

Main Results:

  • Increased working memory load significantly reduced arithmetic problem-solving speed by 7% to 19%.
  • Working memory load type, arithmetic task type, and predicted significance were significant moderators.
  • Central executive tasks demonstrated the most substantial performance slowing.

Conclusions:

  • Cognitive complexity of working memory tasks, particularly central executive load, significantly impairs arithmetic speed.
  • Findings suggest task complexity, not just domain overlap, drives performance decrements.
  • The study highlights differences between dual-task and correlational findings on working memory and arithmetic.