Interrater Reliability of the Bruininks-Oseretsky Test of Motor Proficiency–Long Form
Bibliographic record
Abstract
To examine the reliability of the Bruininks-Oseretsky Test of Motor Proficiency-Long Form (BOTMP-LF), approximately 40 therapists completed a questionnaire on the administration and scoring of this test (72% response rate). A large degree of inconsistency between therapists was found. This prompted a study of interrater reliability of six therapists who received rigorous training on the BOTMP-LF. Results indicated that consistency of scoring between testers was statistically high for the battery, composite, and subtest scores. However, item-by-item agreement was low for many items, and agreement between raters on their diagnosis of the children as having motor problems was only fair to good. There was no difference in interrater reliability of the test for children with and without learning, attentional, or motor coordination problems. Some limitations of the BOTMP-LF are apparent from these studies.
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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 | 0.044 | 0.097 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 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".