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Record W1994910179 · doi:10.1037/0022-006x.74.1.179

Should sex-specific norms be used to assess attention-deficit/hyperactivity disorder or oppositional defiant disorder?

2006· article· en· W1994910179 on OpenAlexaff
Daniel A. Waschbusch

Bibliographic record

VenueJournal of Consulting and Clinical Psychology · 2006
Typearticle
Languageen
FieldMedicine
TopicAttention Deficit Hyperactivity Disorder
Canadian institutionsDalhousie University
Fundersnot available
KeywordsPsychologyConduct disorderAttention deficit hyperactivity disorderClinical psychologyAssociation (psychology)Developmental psychologyPsychiatryAttention deficitPsychotherapist

Abstract

fetched live from OpenAlex

The authors investigated whether sex-specific norms should be used to assess symptoms of attention-deficit/hyperactivity disorder (ADHD) and oppositional defiant disorder (ODD) in girls. It was hypothesized that (a) there would be a group of girls who exhibit ADHD or ODD symptoms using sex-specific norms but not using Diagnostic and Statistical Manual of Mental Disorders (4th ed.; DSM-IV; American Psychiatric Association, 1994) criteria; (b) these girls would be significantly impaired relative to typically developing girls. These hypotheses were examined using behavior ratings completed by mothers and teachers of 1,491 elementary school students. Results showed that there was a small group of girls who did not meet DSM-IV criteria for ADHD or ODD but who had elevated ADHD and ODD scores when sex-specific norms were used. The same was not true for boys. The girls identified with sex-specific norms were more impaired than other girls. These results suggest that there may be a small number of girls who have behaviors and impairment that are consistent with ADHD and ODD, but they are not currently being identified by DSM-IV criteria.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.025
Threshold uncertainty score0.914

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
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 head0.237
GPT teacher head0.477
Teacher spread0.239 · 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.

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

Citations78
Published2006
Admission routes1
Has abstractyes

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