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Record W1827625165 · doi:10.1093/jpepsy/jsv043

Measurement Invariance Across Parent and Self-Ratings of Extremely Low Birth Weight Survivors and Normal Birth Weight Controls in Childhood and Adolescence on the Child Behavior Checklist and Youth Self-Report: Table I.

2015· article· en· W1827625165 on OpenAlexafffund
Ryan J. Van Lieshout, Michael H. Boyle, Louis A. Schmidt, Saroj Saigal, Mark A. Ferro

Bibliographic record

VenueJournal of Pediatric Psychology · 2015
Typearticle
Languageen
FieldMedicine
TopicInfant Development and Preterm Care
Canadian institutionsMcMaster University
FundersMcMaster UniversityHospital for Sick ChildrenHamilton Health Sciences
KeywordsCBCLChild Behavior ChecklistPsychologyMeasurement invarianceLow birth weightDevelopmental psychologyAnxietyClinical psychologyStructural equation modelingPsychiatryPregnancyConfirmatory factor analysis

Abstract

fetched live from OpenAlex

OBJECTIVE: This study examined the measurement invariance of the Child Behavior Checklist (CBCL) and Youth Self-Report (YSR) DSM-oriented scales between extremely low birth weight (ELBW) and normal birth weight (NBW) youth. METHODS: The sample included 158 ELBW survivors and 145 matched, NBW controls at 8 and 12-16 years of age. RESULTS: Strict invariance was established at 8 years for parent-reported CBCL attention-deficit hyperactivity, conduct, and oppositional defiant scales, though invariance could not be established for affective problems at 8 or 12-16 years. Strict invariance was observed between 12-16-year-old ELBW and NBW groups on attention-deficit hyperactivity, anxiety, and oppositional defiant CBCL and YSR scales. Invariance could not be established for youth-reported conduct problems. CONCLUSIONS: While the majority of CBCL/YSR DSM-oriented subscales assess the same concepts in both ELBW and NBW children and adolescents across parent and youth reports, this may not be the case for affective and conduct problems.

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)0.000
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 score0.009
Threshold uncertainty score0.702

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 head0.022
GPT teacher head0.268
Teacher spread0.245 · 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

Citations6
Published2015
Admission routes2
Has abstractyes

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