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Record W3084708458 · doi:10.1080/13854046.2020.1817564

Susceptibility of functional impairment ratings to noncredible reporting in postsecondary students undergoing screening for ADHD

2020· article· en· W3084708458 on OpenAlexaff
Julie A. Suhr, Grace J. Lee, Allyson G. Harrison

Bibliographic record

VenueThe Clinical Neuropsychologist · 2020
Typearticle
Languageen
FieldMedicine
TopicAttention Deficit Hyperactivity Disorder
Canadian institutionsQueen's University
Fundersnot available
KeywordsPsychologyFunctional impairmentMalingeringClinical psychologyMemory impairmentRating scaleAttention deficit hyperactivity disorderPsychiatryAudiologyDevelopmental psychologyCognitionMedicine

Abstract

fetched live from OpenAlex

Objective: Clinical evaluation for attention-deficit/hyperactivity disorder (ADHD) not only requires assessment of symptoms, but also consideration of the degree to which symptoms lead to impairment within various functional domains. However, ADHD evaluations in adulthood often rely on self-reported functional impairment, which might be vulnerable to malingering/noncredible responding. The present study utilized a clinical sample/known groups design to examine the relationship of noncredible presentation to functional impairment ratings by analyzing differential associations with both symptom and performance validity tests (SVTs and PVTs). Method: Participants were 168 postsecondary students who completed psychoeducational assessments for ADHD to determine their eligibility for academic accommodations and/or medications. Impairment ratings on the Weiss Functional Impairment Rating Scale (WFIRS) of 71 students who presented in a noncredible fashion were compared to 72 students who appeared to present credibly (controls) and 25 students diagnosed with ADHD who appeared to present credibly (clinical controls). Results: Relative to both control groups, individuals who presented noncredibly reported higher levels of disability on most functional domains and a higher percentage provided responses that fell in the impaired range on all functional domains of the WFIRS. Conclusions: Findings provide additional evidence that ADHD-related functional impairment ratings are susceptible to noncredible presentation and highlight the need for assessors to include both SVTs and PVTs in ADHD evaluations.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.018
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.018
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.361
GPT teacher head0.501
Teacher spread0.140 · 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 teacher head, not a consensus.

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

Citations18
Published2020
Admission routes1
Has abstractyes

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