The Lexical Stroop Sort (LSS) picture-word task: a computerized task for assessing the relationship between language and executive functioning in school-aged children.

Published

Journal Article

The relationship between language development and executive function (EF) in children is not well understood. The Lexical Stroop Sort (LSS) task is a computerized EF task created for the purpose of examining the relationship between school-aged children's oral language development and EF. To validate this new measure, a diverse sample of school-aged children completed standardized oral language assessments, the LSS task, and the widely used Dimensional Change Card Sort (DCCS; Zelazo, 2006) task. Both EF tasks require children to sort stimuli into categories based on predetermined rules. While the DCCS largely relies on visual stimuli, the LSS employs children's phonological loop to access their semantic knowledge base. Accuracy and reaction times were recorded for both tasks. Children's scores on the LSS task were correlated with their scores on the DCCS task, and a similar pattern of relationships emerged between children's vocabulary and the two EF tasks, thus providing convergent validity for the LSS. However, children's phonological awareness was associated with their scores on the LSS, but not with those on the DCCS. In addition, a mediation model was used to elucidate the predictive relationship between phonological awareness and children's performance on the LSS task, with children's vocabulary fully mediating this relationship. The use of this newly created and validated LSS task with different populations, such as preschoolers and bilinguals, is also discussed.

Full Text

Duke Authors

Cited Authors

  • Wilbourn, MP; Kurtz, LE; Kalia, V

Published Date

  • March 2012

Published In

Volume / Issue

  • 44 / 1

Start / End Page

  • 270 - 286

PubMed ID

  • 21853409

Pubmed Central ID

  • 21853409

Electronic International Standard Serial Number (EISSN)

  • 1554-3528

International Standard Serial Number (ISSN)

  • 1554-351X

Digital Object Identifier (DOI)

  • 10.3758/s13428-011-0142-4

Language

  • eng