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A framework for executive function in the late elementary years.

Paul T Cirino1, Yusra Ahmed1, Jeremy Miciak1

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This study examined executive function (EF) components in children, finding a bifactor model best represents their commonality and separability. This improves understanding of EF structure and its relation to cognitive development.

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Area of Science:

  • Neuroscience
  • Developmental Psychology
  • Cognitive Psychology

Background:

  • Executive function (EF) is a complex construct, challenging to operationalize.
  • Existing research often examines EF components in isolation.
  • A comprehensive examination of EF components across multiple psychological domains and age ranges is lacking.

Purpose of the Study:

  • To comprehensively examine executive function (EF) components simultaneously in a large, diverse sample of late elementary school-age children.
  • To test various structural models of EF, including unitary, methodological, and bifactor models.
  • To determine the best model representing the relationships between EF components.

Main Methods:

  • Assessed EF using 27 measures in a demographically diverse sample of 846 children, many with reading difficulties.
  • Employed model-comparison factor analytic techniques to test structural models of EF.
  • Utilized both common factor and bifactor structures for analysis.

Main Results:

  • Initial analyses revealed significant overlap among latent EF variables.
  • The final bifactor model demonstrated a common EF factor alongside five specific EF factors: working memory (span/manipulation and updating), generative fluency, self-regulated learning, and metacognition.

Conclusions:

  • Executive function (EF) exhibits both commonalities and distinct components, supporting a bifactor structure.
  • Findings inform prevailing EF models and suggest applications for structure, prediction, and mechanism identification.
  • This research provides a more nuanced understanding of EF in school-aged children.