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Dataset Information

Better together: novel methods for measuring and modeling development of executive function diversity while accounting for unity.


ABSTRACT:

Introduction

Executive functions (EFs) are linked to positive outcomes across the lifespan. Yet, methodological challenges have prevented precise understanding of the developmental trajectory of their organization.

Methods

We introduce novel methods to address challenges for both measuring and modeling EFs using an accelerated longitudinal design with a large, diverse sample of students in middle childhood (N = 1,286; ages 8 to 14). We used eight adaptive assessments hypothesized to measure three EFs, working memory, context monitoring, and interference resolution. We deployed adaptive assessments to equate EF challenge across ages and a data-driven, network analytic approach to reveal the evolving diversity of EFs while simultaneously accounting for their unity.

R

SUBMITTER: Younger JW 

PROVIDER: S-EPMC10405287 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature