Reliability and validity of instruments containing reported sleep measures among children from birth to <5 years of age: A systematic review
Bibliographic record
Abstract
Valid and reliable sleep measures during the early years are crucial for practitioners and researchers seeking accurate evaluation methods. The authors in this review systematically examined the psychometric properties of instruments containing reported sleep measures in children from birth to <5 years of age. The search was conducted using several electronic databases, including MEDLINE, EMBASE, PsycINFO, Web of Science, CINAHL, SPORTDiscus, Scopus and HaPI, with the most recent update on August 30, 2022. The quality of the included studies was assessed using the COSMIN methodology. A total of 79 studies were analyzed. However, none of these measures had undergone a comprehensive evaluation of all psychometric properties. Unfortunately, suitable reported sleep measures for children aged 0-4.99 years could not be identified through this review. Further research is needed to develop and validate psychometrically robust sleep assessment tools for this specific age group.
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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 | 0.072 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.007 |
| Bibliometrics | 0.011 | 0.011 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".