Using the ABLA Test to predict compliance of children with and without developmental delay
Bibliographic record
Abstract
Noncompliance is one of the most frequent challenging behaviors exhibited by children with developmental delay (DD) (Walker, 1993).In this research, two studies were conducted to examine if a child's discriminative ability influences hislher rate of compliance.In Study I archived videotaped data was examined that showed caregiver-child interactions when caregivers were asked to teach their 4-year-old children with DD as they normally would.Rates of child compliance were assessed to instmctions, requests, modeling, gestures, and various combinations of these stimuli.Results indicated that a) the most effective prompts for producing compliance were instructions with modeling and gestures (IMG); b) that caregivers tended to provide low levels of IMG; and c) that overall levels of compliance were low (8%- 5I%), even though rates of positive attention contingent on compliance were high (56%-78%).Study 2 involved 21 children without disabilities and 16 children with DD.Of these 37 children, 13 passed Levels 3 and 4 of the Assessment of Basic Learning Abilities (ABLA) test, which assesses visual discriminations, and failed ABLA Level 6, which assesses an auditory- visual discrimination.The remaining 24 chlldren passed ABLA Levels 3,4, and 6.All children were presented with 5 age-appropriate educational tasks by their caregivers in a structured teaching session that included Instructions Alone (IA) and IMG.The results indicated that: a) children at ABLA Level 6 performed better on lA than those at ABLA Level 3 and 4; b) children at ABLA Level 3 and 4 performed better when given IMG than IA; and c) children at ABLA Level 6 performed equally well on both IA and IMG.These results were consistent across all children, and for the two subgroups of children without disabilities and children with DD.The results are important for providing information to caregivers on how best to instruct their children in an effort to increase compliance.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".