Evidence map›Paper›PMID 39666504›Full record

ArticlePsychological assessment2024

A comparison of scoring algorithms for the NIH Toolbox executive function tasks in a U.S. norming sample.

Yusuke Shono, Berivan Ece, Emily H Ho, Aaron J Kaat, Erica M LaForte, Ezgi Ayturk, Richard Gershon

Abstract readComparative Study
In one paragraph

Article in Psychological assessment, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Yusuke ShonoSchool of Community and Global Health, Claremont Graduate University.ORCID 0000-0002-7006-1816
Berivan EceDepartment of Medical Social Sciences, Northwestern University Feinberg School of Medicine.ORCID 0000-0003-1756-9685
Emily H HoDepartment of Medical Social Sciences, Northwestern University Feinberg School of Medicine.ORCID 0000-0002-3522-3779
Aaron J KaatDepartment of Medical Social Sciences, Northwestern University Feinberg School of Medicine.ORCID 0000-0001-8147-1899
Erica M LaForteDepartment of Medical Social Sciences, Northwestern University Feinberg School of Medicine.
Ezgi AyturkDepartment of Psychology, College of Social Sciences and Humanities, Koç University.ORCID 0000-0001-6509-4288
Richard GershonDepartment of Medical Social Sciences, Northwestern University Feinberg School of Medicine.

Funding

The ECHO Measurement Core: A Framework and Resource for Assessing Environmental Exposure and Child HealthU24OD023319 · OD · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Courtney K Blackwell, RICHARD GERSHON · 2016 to 2026
$43.7M
The MobileToolbox for Monitoring Cognitive Function - Technical CoreU2CAG060426 · NIA · NORTHWESTERN UNIVERSITY AT CHICAGO · PI RICHARD GERSHON · 2018 to 2026
$35.0M
ARMADA: Advancing Reliable Measurement in Alzheimer's Disease and cognitive Aging - Tech CoreU2CAG057441 · NIA · NORTHWESTERN UNIVERSITY AT CHICAGO · PI GERSHON, RICHARD · 2017 to 2019
$10.8M
MyCog - Rapid detection of cognitive impairment in everyday clinical settingsUG3NS105562 · NINDS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI GERSHON, RICHARD, WOLF, MICHAEL S · 2017 to 2017
$552k
National Institutes of Health Office of the DirectorNIA NIH HHS U2C AG057441NIA NIH HHS U2C AG060426NIH HHS U24 OD023319NINDS NIH HHS UG3 NS105562
6 · The paper itself

Abstract

Executive function (EF) has been extensively linked to various behavioral, clinical, and educational outcomes. There have been, however, few systematic investigations into how best to score EF tasks using speed and accuracy performance, particularly how to generate a summary and norm-referenced score. Using data from an updated norming study for the NIH Toolbox Version 3 (NIHTB V3) with the general U.S. population aged between 3 and 85 (N = 3,794; 52.3% female; Mage = 25.06, SDage = 22.92), we empirically evaluated and compared several scoring algorithms for two EF tests: The Dimensional Change Card Sort (a test of cognitive flexibility) and Flanker (a test of inhibitory control) Tests. Results showed that joint scoring algorithms integrating speed and accuracy into single scores (namely, rate-correct score, linear integrated speed-accuracy score, and speed-accuracy additive score) provided more robust psychometric evidence for the EF tests than single-index scores of accuracy and speed. These integrated speed-accuracy scores were consistent and stable within and across tasks and time; similar to that of another well-validated EF measure, but as predicted, not related to a crystallized intelligence measure score; and increased rapidly from early childhood through late adolescence/early adulthood and then declined toward late adulthood. The rate-correct score was particularly free from ceiling effects and sensitive to age-related changes and variability in EF performance. Among various scoring algorithms, we recommend rate-correct score, which served as the basis for generating new NIHTB V3 norm-referenced scores, with good test-retest reliability (Dimensional Change Card Sort = .77, Flanker = .81) and acceptable convergent and discriminant validity. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Indexed as

AlgorithmsExecutive FunctionNeuropsychological TestsPsychometricsAdolescentAdultAgedAged, 80 and overChildChild, PreschoolFemaleHumansMaleMiddle AgedNational Institutes of Health (U.S.)Reference Values

Identifiers

PMID39666504
PMCPMC11841212

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.