<scp>B</scp>eery‐<scp>B</scp>uktenica <scp>D</scp>evelopmental <scp>T</scp>est of <scp>V</scp>isual‐<scp>M</scp>otor <scp>I</scp>ntegration (<scp>B</scp>eery‐<scp>VMI</scp>): lessons from exploration of cultural variations in visual‐motor integration performance of preschoolers
Bibliographic record
Abstract
BACKGROUND: Visual-motor integration (VMI) is important in children's development because it is associated with the performance of many functional skills. Deficits in VMI have been linked to difficulties in academic performance and functional tasks. Clinical assessment experience of occupational therapists in Singapore suggested that there is a potential difference between the VMI performance of Singaporean and American children. Cross-cultural studies also implied that culture has an influence on a child's VMI performance, as it shapes the activities that a child participates in. The purpose of this study was to (1) explore if there was a difference between the VMI performance of Singaporean and American preschoolers, and (2) determine if there were ethnic differences in the VMI performance of Singaporean preschoolers. METHODS: The Beery-VMI, which was standardized in America, is commonly used by occupational therapists in Singapore to assess the VMI ability of children. We administered the Beery-VMI (fifth edition) full form test (excluding the supplemental tests) to 385 preschoolers (mean age = 63.3 months) from randomly selected schools in Singapore. We compared the scores of Singaporean preschoolers with those of the American standardization norms using the one-sample t-test. Scores of different ethnic groups among the Singapore population were also compared using a one-way anova, followed by the Bonferroni post-hoc test. RESULTS: Singaporean preschoolers and the standardization sample of American children performed significantly differently in all age groups (P < 0.05). Among the Singapore population, the scores were also significantly different (P < 0.05) between the (i) Chinese and Malay and (ii) Chinese and Indians ethnic groups. CONCLUSION: Preschoolers from different cultural and ethnic groups had different VMI performance. Certain cultural beliefs and practices may affect VMI performance. Clinicians should exercise caution when using an assessment in communities and cultures outside the ones on which it was standardized.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".