A Bayesian-Inspired Item Response Theory-Based Framework to Produce Very Short Versions of MacArthur-Bates Communicative Development Inventories.

Purpose: This study introduces a framework to produce very short versions of the MacArthur-Bates Communicative Development Inventories (CDIs) by combining the Bayesianinspired approach introduced by Mayor and Mani (2019) with an item response theory-based computerized adaptive testing that adapts to...

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Publicado en:	Journal of Speech, Language & Hearing Research Vol. 63; no. 10; pp. 3488 - 3501
Autores principales:	Jun Ho Chai, Chang Huan Lo, Mayor, Julien
Formato:	Artículo
Publicado:	American Speech-Language-Hearing Association Oct2020
Materias:	Computers Language acquisition Vocabulary Theory-practice relationship Comparative studies Computer adaptive testing English language Research funding Professional practice Data analysis Descriptive statistics
Acceso en línea:	Ver este registro en EBSCOhost