Evidence map›Paper›PMID 35737535›Full record

ArticleNeuropsychology2023

Construct identification in the neuropsychological battery: What are we measuring?

Robert M Bilder, Keith F Widaman, Russell M Bauer, Daniel Drane, David W Loring, Laura Glass Umfleet, Steven P Reise, Louis Charles Vannier, Dustin Wahlstrom, Jessica L Fossum and 4 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Neuropsychology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Review
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

14 authors.

Robert M BilderJane & Terry Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles.ORCID 0000-0001-5085-7852
Keith F WidamanGraduate School of Education, University of California, Riverside.
Russell M BauerDepartment of Clinical and Health Psychology, University of Florida.
Daniel DraneDepartment of Neurology, Emory University.
David W LoringDepartment of Neurology, Emory University.
Laura Glass UmfleetDepartment of Neurology, Medical College of Wisconsin.
Steven P ReiseDepartment of Psychology, College of Letters & Science, University of California, Los Angeles.
Louis Charles VannierPearson Clinical Assessment.
Dustin WahlstromPearson Clinical Assessment.
Jessica L FossumDepartment of Psychology, College of Letters & Science, University of California, Los Angeles.
Emily WongDepartment of Psychology, College of Letters & Science, University of California, Los Angeles.
Kristen EnriquezJane & Terry Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles.
Fiona WhelanJane & Terry Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles.
Stone ShihJane & Terry Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles.

Funding

National Neuropsychological Network (NNN)R01MH118514 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DANIEL L DRANE, David W. Loring · 2019 to 2026
$9.4M
Dissecting the Cognitive Roles of Hippocampus, Other Temporal Lobe StructuresR01NS088748 · NINDS · EMORY UNIVERSITY · PI DRANE, DANIEL L · 2014 to 2024
$6.4M
Genetic, Imaging, and Cognition study of Positive Valence Systems in Psychotic SyndromesR01MH114152 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BILDER, ROBERT M, OPHOFF, ROEL A · 2018 to 2023
$3.2M
NIMH NIH HHSNIMH NIH HHS R01 MH114152NIMH NIH HHS R01 MH118514NINDS NIH HHS R01 NS088748
6 · The paper itself

Abstract

objectiveMajor obstacles to data harmonization in neuropsychology include lack of consensus about what constructs and tests are most important and invariant across healthy and clinical populations. This study addressed these challenges using data from the National Neuropsychology Network (NNN).

methodData were obtained from 5,000 NNN participants and Pearson standardization samples. Analyses included variables from four instruments: Wechsler Adult Intelligence Scale, 4th Edition (WAIS-IV); Wechsler Memory Scale, 4th Edition (WMS-IV); California Verbal Learning Test, 3rd Edition (CVLT3); and Delis-Kaplan Executive Function System (D-KEFS). We used confirmatory factor analysis to evaluate models suggested by prior work and examined fit statistics and measurement invariance across samples. We examined relations of factor scores to demographic and clinical characteristics.

resultsFor each instrument, we identified four first-order and one second-order factor. Optimal models in patients generally paralleled the best-fitting models in the standardization samples, including task-specific factors. Analysis of the NNN data prompted specification of a Recognition-Familiarity factor on the WMS-IV and an Inhibition-Switching factor on the D-KEFS. Analyses showed strong to strict factorial invariance across samples with expected differences in factor means and variances. The Recognition-Familiarity factor correlated with age more strongly in NNN than in the standardization sample.

conclusionsFactor models derived from healthy groups generally fit well in patients. NNN data helped identify novel Recognition-Familiarity and Inhibition-Switching factors that were also invariant across samples and may be clinically useful. The findings support efforts to identify evidence-based and optimally efficient measurements of neuropsychological constructs that are valid across groups. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Indexed as

Recognition, PsychologyAdultFactor Analysis, StatisticalHumansNeuropsychological TestsReference StandardsWechsler Scales

Identifiers

PMID35737535
PMCPMC9945479

What OpenQuestion holds

Textmetadata
LicenceTDM
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.