Evidence map›Paper›PMID 25642930›Full record

ArticlePsychological assessment2015

Item response theory analyses of the Cambridge Face Memory Test (CFMT).

Sun-Joo Cho, Jeremy Wilmer, Grit Herzmann, Rankin Williams McGugin, Daniel Fiset, Ana E Van Gulick, Kaitlin F Ryan, Isabel Gauthier

Abstract read
In one paragraph

Article in Psychological assessment, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

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  6. Review
  7. Cross-cultural Diagnostic Validity of the Multilingual Naming Test (MINT) in a Sample of Older Adults.Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists · 2024
    Article
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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

8 authors.

Sun-Joo ChoDepartment of Psychology and Human Development, Peabody College, Vanderbilt University.
Jeremy WilmerDepartment of Psychology, Wellesley College.
Grit HerzmannDepartment of Psychology, College of Wooster.
Rankin Williams McGuginDepartment of Psychology.
Daniel FisetDépartement de Psychoéducation et de Psychologie, Université de Québec.
Ana E Van GulickDepartment of Psychology.
Kaitlin F RyanDepartment of Psychology.
Isabel GauthierDepartment of Psychology.

Funding

Shop Module CoreP30EY008126 · NEI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Kevin L Schey · 1989 to 2026
$19.6M
Research Project: Sensory and Multisensory Contributions to AutismU54HD083211 · NICHD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI DYKENS, ELISABETH MAY · 2015 to 2019
$7.1M
ERP Studies of Dual Processes in Recognition MemoryR01MH064812 · NIMH · UNIVERSITY OF COLORADO AT BOULDER · PI CURRAN, TIMOTHY E · 2002 to 2011
$3.0M
THE ROLE OF VISUAL EXPERTISE IN LETTER PERCEPTIONR01EY013441 · NEI · VANDERBILT UNIVERSITY · PI GAUTHIER, ISABEL · 2001 to 2012
$2.8M
Expert Memory: Superior Encoding, Enhanced Retrieval, and Refined PerceptionR01MH096698 · NIMH · UNIVERSITY OF COLORADO · PI CURRAN, TIMOTHY E · 2012 to 2014
$1.1M
NEI NIH HHS P30 EY008126NEI NIH HHS P30-EY008126NEI NIH HHS R01 EY013441NICHD NIH HHS U54 HD083211NIMH NIH HHS MH096698NIMH NIH HHS MH64812NIMH NIH HHS R01 MH064812NIMH NIH HHS R01 MH096698
6 · The paper itself

Abstract

We evaluated the psychometric properties of the Cambridge Face Memory Test (CFMT; Duchaine & Nakayama, 2006). First, we assessed the dimensionality of the test with a bifactor exploratory factor analysis (EFA). This EFA analysis revealed a general factor and 3 specific factors clustered by targets of CFMT. However, the 3 specific factors appeared to be minor factors that can be ignored. Second, we fit a unidimensional item response model. This item response model showed that the CFMT items could discriminate individuals at different ability levels and covered a wide range of the ability continuum. We found the CFMT to be particularly precise for a wide range of ability levels. Third, we implemented item response theory (IRT) differential item functioning (DIF) analyses for each gender group and 2 age groups (age ≤ 20 vs. age > 21). This DIF analysis suggested little evidence of consequential differential functioning on the CFMT for these groups, supporting the use of the test to compare older to younger, or male to female, individuals. Fourth, we tested for a gender difference on the latent facial recognition ability with an explanatory item response model. We found a significant but small gender difference on the latent ability for face recognition, which was higher for women than men by 0.184, at age mean 23.2, controlling for linear and quadratic age effects. Finally, we discuss the practical considerations of the use of total scores versus IRT scale scores in applications of the CFMT.

Indexed as

Facial RecognitionNeuropsychological TestsAdolescentAdultFactor Analysis, StatisticalFemaleHumansMalePsychological TheoryPsychometricsYoung Adult

Identifiers

PMID25642930
PMCPMC4461534

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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.