Evidence map›Paper›PMID 42347768›Full record

ArticleNeuropsychology2026

Obtaining comparable measurement of midlife cognitive functioning from disparate cognitive tasks.

Michael J Culbertson, Eric Grodsky, Chandra Muller, John Robert Warren, Jennifer J Manly, Adam M Brickman

Abstract read
In one paragraph

Article in Neuropsychology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Michael J CulbertsonCenter for Demography of Health and Aging, University of Wisconsin-Madison.ORCID 0000-0001-6883-9767
Eric GrodskyDepartment of Sociology, University of Wisconsin-Madison.ORCID 0000-0003-2178-0803
Chandra MullerDepartment of Sociology, University of Texas at Austin.ORCID 0000-0002-2216-7034
John Robert WarrenInstitute for Social Research and Data Innovation, University of Minnesota, Minneapolis.ORCID 0000-0001-6079-5122
Jennifer J ManlyTaub Institute for Research on Alzheimer's Disease and the Aging Brain, Department of Neurology, Vagelos College of Physicians and Surgeons, Columbia University.ORCID 0000-0002-9481-7497
Adam M BrickmanTaub Institute for Research on Alzheimer's Disease and the Aging Brain, Department of Neurology, Vagelos College of Physicians and Surgeons, Columbia University.ORCID 0000-0002-5125-8226

Funding

Statistical Data Enclave CoreP30AG017266 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI Michal Engelman · 1999 to 2026
$17.0M
Educational and Early Life Predictors of Mild Cognitive Impairment: New Evidence about Mediators and Moderators from High School & BeyondU01AG058719 · NIA · UNIVERSITY OF MINNESOTA · PI GRODSKY, ERIC, MULLER, CHANDRA L · 2023 to 2024
$8.6M
Program Development and Pilot CoreP30AG066614 · NIA · UNIVERSITY OF TEXAS AT AUSTIN · PI DEBRA J. UMBERSON · 2020 to 2026
$5.2M
Scientific & Technical CoreP2CHD042849 · NICHD · UNIVERSITY OF TEXAS AT AUSTIN · PI MARK D. HAYWARD · 2017 to 2026
$5.2M
Scientific and Technical CoreP2CHD047873 · NICHD · UNIVERSITY OF WISCONSIN-MADISON · PI Katherine J. Curtis · 2014 to 2026
$5.1M
Life Course Center Program Development CoreP30AG066613 · NIA · UNIVERSITY OF MINNESOTA · PI Sarah M Flood · 2020 to 2026
$5.0M
Minnesota Population Center Science and Technical CoreP2CHD041023 · NICHD · UNIVERSITY OF MINNESOTA · PI THERESA LOUISE OSYPUK · 2016 to 2026
$4.3M
Alzheimer's AssociationNational Institute of Child Health and Human DevelopmentNIA NIH HHS P30 AG017266NIA NIH HHS P30 AG066613NIA NIH HHS P30 AG066614NIA NIH HHS U01 AG058719NICHD NIH HHS P2C HD041023NICHD NIH HHS P2C HD042849NICHD NIH HHS P2C HD047873
6 · The paper itself

Abstract

objectiveNational surveys of health and aging increasingly collect data via multiple modes, including via face-to-face, phone, and the web. However, mode effects-differences in measurement due to how the data are collected, rather than to underlying differences in cognition-undermine comparability in performance for different segments of samples, impeding analysis of cognitive function in the full sample. This article reports on the construction and evaluation of a measure of general cognitive functioning comparable across diverse phone and web cognitive tasks for the 2021 follow-up of the High School and Beyond Study of 1980, a nationally representative survey of individuals who were U.S. high school sophomores and seniors in 1980.

methodWe used a hierarchical explanatory item response theory model to equate general cognition scores across phone and web samples based on the relationship between midlife cognition and covariates from midlife and high school.

resultsThe full model replicated task scores from unidimensional models, and the explanatory component of the model did not bias general cognition scores, indicating that the model was a faithful representation of patterns of cognitive task performance. We found no evidence of a violation of our assumption of the independence of regression coefficients and survey mode.

conclusionsThis article provides an empirical example of how to construct a psychometrically sound cross-mode cognitive score from data collected through multiple modes. Given the increasing demand for cost-effective large-scale survey design, our method may find greater application in other nationally representative aging studies. (PsycInfo Database Record (c) 2026 APA, all rights reserved).

Indexed as

AgingCognitionNeuropsychological TestsAdultAgedFemaleHumansInternetMaleMiddle Aged

Identifiers

PMID42347768
PMCPMC13625612

What OpenQuestion holds

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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.