PC.73 Cross-cultural testing – Use of the ABAS-II to measure the adaptive behaviour of Irish VLBW preschoolers
Bibliographic record
Abstract
Background Although much literature has focused on the cognitive, motor and behavioural sequelae of preterm birth, little attention in the medical literature has addressed its impact on everyday life skills. Few standardised assessments that measure adaptive behaviour are normed on a UK/Irish population of children. The Adaptive behaviour Assessment Scale-II (ABAS- II) is a well standardised standalone assessment that has also been adopted as part of the Bayley III assessment to measure the adaptive behaviour of young children, including preterm infants. The ABAS-II is normed, however on a North American population. Aim To ascertain whether the North American normed ABAS-II is a valid measure of adaptive behaviour for Irish VLBW preschoolers. Methodology Parents of 51 full term infants (6 months–5 years 6 months of age) born in GUH were assessed using the Parent Questionnaire of the ABAS-II. Results were compared to North American normative data. Results No difference was found between the ABAS-II General Adaptive Composite of the Irish controls and North American normative data. Of the three domain scores, there was a significant difference in scores in the Social domain, in favour of the Irish controls (p = 0.01), and the practical domain in favour of the North American sample (p = 0.49). No difference was found between the groups in the Conceptual Domain. Conclusion Caution is required in interpreting the results of Irish VLBW infants when using adaptive measures standardised on a North American population. The results suggest a measurable difference in cultural influences on Adaptive Behaviour that warrant further investigation.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 0.006 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".