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Record W2969781238 · doi:10.1177/1087054719869834

Executive Functioning Rating Scale as a Screening Tool for ADHD: Independent Validation of the BDEFS-CA

2019· article· en· W2969781238 on OpenAlexaff
Amanda O’Brien, Lynette Renee Kivisto, Shanna Deasley, Joseph E. Casey

Bibliographic record

VenueJournal of Attention Disorders · 2019
Typearticle
Languageen
FieldMedicine
TopicAttention Deficit Hyperactivity Disorder
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsPsychologyRating scaleDiscriminant validityConfirmatory factor analysisConcurrent validityClinical psychologyReceiver operating characteristicConstruct validityTest validityPredictive validityExecutive functionsScale (ratio)Criterion validityAttention deficit hyperactivity disorderDevelopmental psychologyPsychometricsPsychiatryCognitionStructural equation modelingMedicineInternal medicineStatistics

Abstract

fetched live from OpenAlex

Objective: This study provides independent examination of the validity of the Barkley Deficits of Executive Functioning Scale–Children and Adolescents (BDEFS-CA) in a sample of children diagnosed with ADHD ( n = 50) and typically developing controls ( n = 50). Method: Parents of participants completed the BDEFS-CA and the Conners 3 rating scales. Validity of BDEFS-CA was examined using a confirmatory factor analysis, correlational analyses with Conners 3 ratings, and receiver operating characteristic (ROC) curve analysis of diagnostic accuracy. Results: Findings support the construct, concurrent, and discriminant validity of the BDEFS-CA in a mixed sample. Conclusion: Findings provide independent examination of the validity of the BDEFS-CA as a measure of executive dysfunction and a screening tool for ADHD.

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 score0.006
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.026
GPT teacher head0.305
Teacher spread0.280 · 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

Citations13
Published2019
Admission routes1
Has abstractyes

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Same venueJournal of Attention DisordersSame topicAttention Deficit Hyperactivity DisorderFrench-language works237,207