Validation of motor, cognitive, language, and socio-emotional subscales using the Caregiver Reported Early Development Instruments: An application of multidimensional item factor analysis
Bibliographic record
Abstract
The Caregiver Reported Early Development Instruments (CREDI) are assessments tools for measuring the development of children under age three in global contexts. The present study describes the construction and psychometric properties of the motor, cognitive, language, and socio-emotional subscales from the CREDI’s long form. Multidimensional item factor analysis was employed, allowing indicators of child development to simultaneously load onto multiple factors representing distinct developmental domains. A total of 14,113 caregiver reports representing 17 low-, middle-, and high-income countries were analyzed. Criterion-related validity of the constructed subscales was tested in a subset of participants using data from previously established instruments, anthropometric data, and a measure of child stimulation. We also report internal-consistency reliability and test–retest reliability statistics. Results from our analysis suggest that the CREDI subscales display adequate reliability for population-level measurement, as well as evidence of validity.
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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 | 0.019 | 0.029 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".