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Record W4361271509 · doi:10.1037/neu0000902

Measurement and structural invariance of a neuropsychological battery among Middle Eastern/North African, Black, and White older adults.

2023· article· en· W4361271509 on OpenAlexaboutno aff
Laura B. Zahodne, Simon Brauer, Wassim Tarraf, Emily P. Morris, Toni C. Antonucci, Kristine J. Ajrouch

Bibliographic record

VenueNeuropsychology · 2023
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsnot available
FundersNational Institute on Aging
KeywordsMeasurement invariancePsychologyMemory spanCognitionVerbal fluency testNeuropsychologyFluencyConfirmatory factor analysisCognitive testMontreal Cognitive AssessmentPopulationDevelopmental psychologyGerontologyClinical psychologyWorking memoryStructural equation modelingPsychiatryMedicine

Abstract

fetched live from OpenAlex

OBJECTIVE: There is a lack of guidance on common neuropsychological measures among Arabic speakers and individuals who identify as Middle Eastern/North African (MENA) in the United States. This study evaluated measurement and structural invariance of a neuropsychological battery across race/ethnicity (MENA, Black, White) and language (Arabic, English). METHOD: Six hundred six older adults (128 MENA-English, 74 MENA-Arabic, 207 Black, 197 White) from the Detroit Area Wellness Network were assessed via telephone. Multiple-group confirmatory factor analyses examined four indicators corresponding to distinct cognitive domains: episodic memory (Consortium to Establish a Registry for Alzheimer's Disease [CERAD] Word List), language (Animal Fluency), attention (Montreal Cognitive Assessment [MoCA] forward digit span), and working memory (MoCA backward digit span). RESULTS: Measurement invariance analyses revealed full scalar invariance across language groups and partial scalar invariance across racial/ethnic groups suggesting a White testing advantage on Animal Fluency; yet this noninvariance did not meet a priori criteria for salient impact. Accounting for measurement noninvariance, structural invariance analyses revealed that MENA participants tested in English demonstrated lower cognitive health than Whites and Blacks, and MENA participants tested in Arabic demonstrated lower cognitive health than all other groups. CONCLUSIONS: Measurement invariance results support the use of a rigorously translated neuropsychological battery to assess global cognitive health across MENA/Black/White and Arabic/English groups. Structural invariance results reveal underrecognized cognitive disparities. Disaggregating MENA older adults from other non-Latinx Whites will advance research on cognitive health equity. Future research should attend to heterogeneity within the MENA population, as the choice to be tested in Arabic versus English may reflect immigrant, educational, and socioeconomic experiences relevant to cognitive aging. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.038
GPT teacher head0.291
Teacher spread0.253 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations7
Published2023
Admission routes1
Has abstractyes

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