Evidence map›Paper›PMID 35446051›Full record

ArticleNeuropsychology2023

Impact of word properties on list learning: An explanatory item analysis.

William F Goette, Jeff Schaffert, Anne Carlew, Heidi Rossetti, Laura H Lacritz, Paul De Boeck, C Munro Cullum

Abstract read
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 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.

William F GoetteDepartment of Psychiatry.ORCID 0000-0003-2909-1068
Jeff SchaffertDepartment of Psychiatry.ORCID 0000-0002-8842-980X
Anne CarlewDepartment of Psychiatry.ORCID 0000-0001-7980-3954
Heidi RossettiDepartment of Psychiatry.ORCID 0000-0002-8991-900X
Laura H LacritzDepartment of Psychiatry.ORCID 0000-0002-0853-3704
Paul De BoeckDeparment of Psychology.ORCID 0000-0002-0884-2582
C Munro CullumDepartment of Psychiatry.ORCID 0000-0001-9706-5465

Funding

HRS Yrs29-34: Y33 SSA CoFundingU01AG009740 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Jessica Faul, KENNETH M LANGA · 1990 to 2026
$555.8M
Health and Retirement Study: Harmonized Cognitive Assessment Protocol (HCAP)U01AG058499 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LANGA, KENNETH M · 2018 to 2023
$8.3M
Enhancing Retrospective Life History Data in the Health and Retirement Study- RenewalR01AG051142 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SMITH, JACQUI · 2015 to 2023
$8.1M
Explaining racial and ethnic Alzheimer’s disease disparities with joint estimation of life course social inequities and measurement bias in verbal memory assessmentF31AG076284 · NIA · UT SOUTHWESTERN MEDICAL CENTER · PI GOETTE, WILLIAM · 2022 to 2023
$53k
NIA NIH HHS F31 AG076284NIA NIH HHS R01 AG051142NIA NIH HHS U01 AG009740NIA NIH HHS U01 AG058499
6 · The paper itself

Abstract

objectiveA variety of factors affect list learning performance and relatively few studies have examined the impact of word selection on these tests. This study examines the effect of both language and memory processing of individual words on list learning.

methodItem-response data from 1,219 participants,

resultsA two parameter logistic (2PL) model with trial-specific learning effects produced the best measurement fit. Evidence of the serial position effect on word learning was observed. Robust positive effects on word learning were observed for body-object integration while robust negative effects were observed for word frequency, concreteness, and semantic diversity. A weak negative effect of average age of acquisition and a weak positive effect for the number of phonemes in the word were also observed.

conclusionsResults demonstrate that list learning performance depends on factors beyond the repetition of words. Identification of item factors that predict learning could extend to a range of test development problems including translation, form equating, item revision, and item bias. In data harmonization efforts, these methods can also be used to help link tests via shared item features and testing of whether these features are equally explanatory across samples. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Indexed as

LearningMemoryAgedBayes TheoremHumansLanguageVerbal Learning

Identifiers

PMID35446051
PMCPMC9911044

What OpenQuestion holds

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Registered trials

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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.