Ontology highlight
ABSTRACT: Background
The proliferation of instruments that define instrument-specific metrics impedes progress in comparative assessment across populations. This paper explores a method to extract a common metric from related but different instruments and transform the original measurements into scores with a standard unit of measurement.Methods
Existing data from four assessment instruments of child development, collected from three different samples of children, were used to create "equate clusters" of items that measure the same behaviour in (slightly) different ways. A probability model was formulated to identify best items and groups to serve as anchors linking the instruments, assuming that items in an anchoring or "active" equate cluster are psychometrically equivalent. Quanti
SUBMITTER: Eekhout I
PROVIDER: S-EPMC11546590 | biostudies-literature | 2024 Nov
REPOSITORIES: biostudies-literature