Psychometric properties of the Infant Motor Profile (IMP): A scoping review protocol
Bibliographic record
Abstract
INTRODUCTION: The IMP is a novel video-based instrument to assess motor behavior of infants. It evaluates gross and fine motor behavior in five domains: variation, adaptability, symmetry, fluency, and performance. The latter assesses motor milestones, the other four domains assess qualitative aspects of movements. Literature suggests that it is a promising tool for pediatric health care, as its assists early detection of neurodevelopmental disorders and facilitates the design and monitoring of early intervention. This, this scoping review (ScR) aims to evaluate the psychometric properties of the Infant Motor Profile (IMP). MATERIAL AND METHODS: A systematic search will be conducted to identify relevant studies up to October 15, 2022. All papers published in English that evaluated or used the IMP in children under two years of age will be included. The search will be performed in Pubmed, Lilacs, PEDro, Scielo, CINAHL, Embase, Web of Science, Ovid PsycINFO, Cochrane Database of Systematic Reviews, as well as in gray literature sources following the University of Toronto library guidelines. Standardized data extraction forms (Excel Tables) will be used to collect information. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for the Scoping Reviews (PRISMA-ScR) Checklist and JBI guidelines will be taken into consideration for results analysis and reporting. DISCUSSION: This Scoping Review will summarize available knowledge on the psychometric properties of the IMP. By proving that IMP is a reliable tool, a valid predictor of neurodevelopmental outcomes and a responsive instrument to measure change induced by early intervention, this will facilitate the implementation of the IMP in pediatric health care. It will assist the detection of infants at high risk of neurodevelopmental disorders, and it will facilitate the design of the tailor-made early intervention. SCOPING REVIEW PROTOCOL REGISTRATION: This scoping review protocol has been registered at Open Science Framework (OSF) (https://doi.org/10.17605/OSF.IO/4HYKZ).
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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 | 0.109 | 0.101 |
| Meta-epidemiology (narrow) | 0.006 | 0.006 |
| Meta-epidemiology (broad) | 0.014 | 0.015 |
| Bibliometrics | 0.021 | 0.014 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.007 | 0.009 |
| Open science | 0.006 | 0.006 |
| Research integrity | 0.009 | 0.006 |
| Insufficient payload (model declined to judge) | 0.077 | 0.014 |
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".