Publication

Contrasting speed and accuracy approaches to measure executive functions in three low-and middle-income countries

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Last modified
  • 06/25/2025
Type of Material
Authors
    Charlotte Wray, University of OxfordAlysse J. Kowalski, Emory UniversityFeziwe Mpondo, University of the WitwatersrandLaura Ochaeta, Institute of Nutrition of Central America and PanamaDelia Belleza, University of San CarlosAnn DiGirolamo, Georgia State UniversityRachel Waford Hall, Emory UniversityLinda Richter, University of the WitwatersrandNanette Lee, University of San CarlosGaia Scerif, University of OxfordAlan Stein, University of OxfordAryeh D Stein, Emory University
Language
  • English
Date
  • 2023-08-31
Publisher
  • PLoS
Publication Version
Copyright Statement
  • © 2023 Wray et al
License
Final Published Version (URL)
Title of Journal or Parent Work
Volume
  • 18
Issue
  • 8
Start Page
  • e0290238
Grant/Funding Information
  • This study was funded by the Bill and Melinda Gates Foundation (OPP1164115). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
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Abstract
  • Executive functions (EF) can be measured by tests assessing accuracy, reaction times and by computing scores which combine these two components. Interpretation issues can arise from the use of different scoring methods across studies. Given that EF measures and their scoring methods are predominantly developed and validated in high income countries, little is known about the generalisability of such methods cross- culturally. The current paper compares two different established scoring approaches for measures of inhibition and cognitive flexibility: difference scores (which utilise reaction time only) and computed scores (combining accuracy and reaction time). We utilised data collected in adulthood from three low- and middle-income birth cohorts (Guatemala, Philippines, South Africa). Non-normal distributions were observed for both scoring methods in all three samples; however, this was more pronounced for the difference score method. Differing distribution patterns were observed across the three cohorts, which was especially evident in the Guatemala cohort, highlighting potential issues with using these methods across diverse populations. The data suggest that the computed scores may be a reliable measure of EF. However, the different ways of scoring and interpreting EF instruments need to be considered carefully for each population before use.
Author Notes
Keywords
Research Categories
  • Psychology, Cognitive
  • Health Sciences, Health Care Management

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