Cross‐cultural validity of standardized motor development screening and assessment tools: a systematic review
Bibliographic record
Abstract
AIM: To investigate whether standardized motor development screening and assessment tools that are used to evaluate motor abilities of children aged 0 to 2 years are valid in cultures other than those in which the normative sample was established. METHOD: This was a systematic review in which six databases were searched. Studies were selected based on inclusion/exclusion criteria and appraised for evidence level and quality. Study variables were extracted. RESULTS: Twenty-three studies representing six motor development screening and assessment tools in 16 cultural contexts met the inclusion criteria: Alberta Infant Motor Scale (n=7), Ages and Stages Questionnaire, 3rd edition (n=2), Bayley Scales of Infant and Toddler Development, 3rd edition (n=8), Denver Developmental Screening Test, 2nd edition (n=4), Harris Infant Neuromotor Test (n=1), and Peabody Developmental Motor Scales, 2nd edition (n=1). Thirteen studies found significant differences between the cultural context and normative sample. Two studies established reliability and/or validity of standardized motor development assessments in high-risk infants from different cultural contexts. Five studies established new population norms. Eight studies described the cross-cultural adaptation of a standardized motor development assessment. INTERPRETATION: Standardized motor development assessments have limited validity in cultures other than that in which the normative sample was established. Their use can result in under- or over-referral for services.
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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 | 0.017 | 0.087 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.008 | 0.007 |
| Bibliometrics | 0.014 | 0.013 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".