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The Psychometric Structure of Executive Functions: A Satisfactory Measurement Model? An Examination Using Meta-Analysis and Network Modeling.

Kevin P RosalesEugene H WongLisa Looney
Published in: Behavioral sciences (Basel, Switzerland) (2023)
A long-standing debate among cognitive scientists has focused on describing the underlying nature of executive functions, which has important implications for both theoretical and applied research. Miyake et al.'s three-factor model has often been considered the gold-standard representation of executive functions and has driven much research in the field. More recently, however, there have been increasing concerns that the three-factor model does not adequately describe a highly complex construct such as executive functions. The current project presents two studies that examine the veracity of Miyake et al.'s model and propose a new approach (i.e., network modeling) for detecting the underlying nature of executive functions. The current results raise questions about the psychometric strength and adequacy of the three-factor model. Further, the studies presented here provide evidence that network modeling provides a better understanding of executive functions as it better captures (relative to latent variable modeling) the complexity of cognitive processes. Theoretical and applied implications are discussed.
Keyphrases
  • working memory
  • systematic review
  • randomized controlled trial
  • case control
  • meta analyses
  • silver nanoparticles