Peer-reviewed article
The D-score: a metric for interpreting the early development of infants and toddlers across global settings
Ann M. Weber, Marta Rubio‐Codina, Susan P. Walker, Stef van Buuren, Iris E. Eekhout et al. ·
Summary
Written by AI, not yet AICS's view · claude-haiku-4-5-20251001This study created and tested the D-score, a new measurement tool for comparing early childhood development across different countries and cultures for children aged 0-48 months. Researchers combined data from 16 longitudinal studies covering over 36,000 children to link 12 different developmental assessment instruments onto a single comparable scale. The D-score successfully predicted later outcomes like IQ and vocabulary and discriminated between children with low birth weight and stunting, offering a simpler way to make meaningful global comparisons of young children's development.
Key points
- The D-score enables direct comparison of early development across different assessment instruments and cultural contexts
- In about 70% of data rounds, the D-score discriminated between children above and below cutpoints for low birth weight and stunting
- Predictive correlations with later outcomes (2-16 years) ranged from 0.20 to 0.40
- The D-score achieved equal or better predictive validity than original instruments while using 55% fewer items on average
- D-score increased significantly with maternal education in 55% of data rounds
Limitations
The study validates the D-score metric itself but does not implement or test specific instruments based on it in real-world settings. The document does not report on the feasibility, cost, or practical utility of using D-score-based tools in low-resource settings.
Abstract
INTRODUCTION: Early childhood development can be described by an underlying latent construct. Global comparisons of children's development are hindered by the lack of a validated metric that is comparable across cultures and contexts, especially for children under age 3 years. We constructed and validated a new metric, the Developmental Score (D-score), using existing data from 16 longitudinal studies. METHODS: Studies had item-level developmental assessment data for children 0-48 months and longitudinal outcomes at ages >4-18 years, including measures of IQ and receptive vocabulary. Existing data from 11 low-income, middle-income and high-income countries were merged for >36 000 children. Item mapping produced 95 'equate groups' of same-skill items across 12 different assessment instruments. A statistical model was built using the Rasch model with item difficulties constrained to be equal in a subset of equate groups, linking instruments to a common scale, the D-score, a continuous metric with interval-scale properties. D-score-for-age z-scores (DAZ) were evaluated for discriminant, concurrent and predictive validity to outcomes in middle childhood to adolescence. RESULTS: =0.71), with few exceptions. In approximately 70% of data rounds collected across studies, DAZ discriminated between children above/below cut-points for low birth weight (<2500 g) and stunting (-2 SD below median height-for-age). DAZ increased significantly with maternal education in 55% of data rounds. Predictive correlations of DAZ with outcomes obtained 2-16 years later were generally between 0.20 and 0.40. Correlations equalled or exceeded those obtained with original instruments despite using an average of 55% fewer items to estimate the D-score. CONCLUSION: The D-score metric enables quantitative comparisons of early childhood development across ages and sets the stage for creating simple, low-cost, global-use instruments to facilitate valid cross-national comparisons of early childhood development.