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Record W2088741401 · doi:10.1080/09297041003705479

Concurrent Validity of the Pediatric Attention Disorders Diagnostic Screener for Children with ADHD

2010· article· en· W2088741401 on OpenAlexaboutno aff
Linda A. Reddy, Erik Newman, Thomas K. Pedigo, Vann B. Scott

Bibliographic record

VenueChild Neuropsychology · 2010
Typearticle
Languageen
FieldMedicine
TopicAttention Deficit Hyperactivity Disorder
Canadian institutionsnot available
Fundersnot available
KeywordsConcurrent validityPsychologyTest (biology)Clinical psychologyAttention deficit hyperactivity disorderRating scalePsychiatryDevelopmental psychologyPsychometrics

Abstract

fetched live from OpenAlex

The present study examined the concurrent validity of a new computer-assisted ADHD screening system, the Pediatric Attention Disorders Diagnostic Screener (PADDS; Pedigo, Pedigo, & Scott, 2006 Pedigo, T., Pedigo, K. and Scott, V. B. Jr. 2006. PADDS Pediatric ADHD Screener: An evidence-based assessment system for screening attention and executive disorders, clinical and users guide, Okeechobee, FL: Targeted Testing, Inc. [Google Scholar]) in relation to the Test of Variables of Attention (TOVA; Greenberg, 1999 Greenberg, L. M. 1999. Test of Variables of Attention, Los Alamitos, CA: The Tova Company. [Google Scholar]), the Conner's Continuous Performance Test- II (CPT-II; Conners & MHS Staff, 2000 Conners, C. K. and MHS Staff. 2000. Conner's continuous performance test II, Toronto: Multi-Health Systems. [Google Scholar]), and the Behavior Rating Inventory of Executive Function (BRIEF; Gioia, Isquith, Guy, & Kenworthy, 2000 Gioia, G. A., Isquith, P. K., Guy, S. C. and Kenworthy, L. 2000. Behavior Rating Inventory of Executive Function: Professional Manual, Lutz, FL: Psychological Assessment Resources, Inc. [Google Scholar]) in three clinically referred samples of children 6 to 12 years of age. The PADDS is a recently published multidimensional screening measure that incrementally merges computer-administered executive tasks with parent and teacher behavior ratings to aid in the diagnostic decision-making process for youth with attention disorders. To date, no published study has examined the concurrent validity of the PADDS. In a clinic-referred sample of 217 subjects diagnosed with ADHD concurrent validity was assessed through correlation coefficients, paired t-tests (p < .001), and Cohen's d effect sizes. In comparison to the TOVA, the CPT-II, and the BRIEF scales, the PADDS demonstrated strong concurrent validity between conceptually similar scales, providing initial evidence for the concurrent validity of the PADDS. Relative to other measures, the PADDS appears to have some unique scales designed to assess attention and various aspects of executive functioning.

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)0.000
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 score0.007
Threshold uncertainty score0.501

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.029
GPT teacher head0.315
Teacher spread0.285 · 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

Citations9
Published2010
Admission routes1
Has abstractyes

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