Comparability of the Test of Gross Motor Development–Second Edition and the Test of Gross Motor Development–Third Edition
Bibliographic record
Abstract
When a test is revised, it is important that test users are made aware of the comparability of scores of the new and the original test. We examined how scores on the Test of Gross Motor Development–Second Edition (TGMD-2) and Test of Gross Motor Development–Third Edition (TGMD-3) compared among children in middle childhood. Participants were 270 children recruited in grade 3 (54% female; M age = 8 years 6 months) and followed through grade 5. Participants completed the skills of both tests. Subtest scores were converted into percent of maximum possible (POMP) scores to facilitate comparison. Although similar, uniformly the TGMD-3 POMP scores were slightly lower. Repeated measures analyses of variance revealed that locomotor subtest scores derived from both tests improved from grade 3 to grade 5, as did TGMD-3 assessed ball skills. However, there was no difference in TGMD-2 assessed object control skills over time. It appears that under-contribution by the underhand roll suppressed the trajectory of improvement of TGMD-2 assessed object control skills. This finding supports the exclusion of the roll from the TGMD-3. The consistent pattern of sex-based differences in TGMD-2 object control skill and TGMD-3 ball skills reinforces the need for male and female norm-reference data for ball skills.
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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 | 0.013 | 0.046 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".