The Classification Accuracy of a Dynamic Assessment of Inferential Word Learning for Bilingual English/Spanish-Speaking School-Age Children

Abstract

Purpose Educators often use results from static norm-referenced vocabulary assessments to aid in the diagnosis of school-age children with a language disorder. However, research has indicated that many of these vocabulary assessments yield inaccurate, biased results, especially with culturally and linguistically diverse children. This study examined whether the use of a dynamic assessment of inferential word learning was more accurate at identifying bilingual (English/Spanish-speaking) children with a language disorder when compared to static measures of vocabulary. Method Thirty-one bilingual Spanish/English school-age children—21 children with typical language and 10 children with a language disorder—ages 5;9–9;7 (years;months) were administered traditional static vocabulary assessments and a dynamic assessment of inferential word learning that used a test–teach–test design. Results Discriminant analysis and logistic regression indicated that the combined posttest scores and modifiability ratings from the dynamic assessment generated 90%–100% sensitivity and 90.5%–95.2% specificity, which were superior to the static vocabulary tests. Conclusion These preliminary findings suggest that dynamic assessment of inferential word learning may be an effective method for accurately identifying diverse children with a language disorder.