Quality of anthropometric data in India's National Family Health Survey: Disentangling interviewer and area effect using a cross-classified multilevel model.

ABSTRACT: India has adopted a target-based approach to reduce the scourge of child malnourishment. Because the monitoring and evaluation required by this approach relies primarily on large-scale data, a data quality assessment is essential. As field teams are the primary mode of data collection in large-scale surveys, this study attempts to understand their contribution to variations in child anthropometric measures. This research can help disentangle the confounding effects of regions/districts and field teams on the quality of child anthropometric data. The anthropometric z-scores of 2,25,002 children below five years were obtained from the fourth round of India's National Family and Health Survey (NFHS-4), 2015-16. Unadjusted and adjusted standard deviations (SD) of the anthropometric measures we

SUBMITTER: Dwivedi LK 

PROVIDER: S-EPMC9576578 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature