A Comparative Study of Developmental Sentence Scoring (DSS) and Black English Sentence Scoring (BESS) in AAE Language...

Children who speak African American English (AAE) may have an elevated likelihood of being diagnosed with language disorders. Traditional language sample analysis (LSA) metrics, such as Developmental Sentence Scoring (DSS), are based on the morphosyntax of General American English (GAE) and may not accurately reflect the language abilities of AAE-speaking children. We examined the effectiveness of computerized Black English Sentence Scoring (BESS) in distinguishing between typically developing (TD) and developmental language disorder (DLD) in AAE- and GAE-speaking children compared with DSS.Language samples from 88 children (22 DLD, 66 TD) ages 5;0 to 7;02, comprising 44 AAE-speaking children and 44 GAE-speaking children, were analyzed using Computerized Language ANalysis (CLAN) DSS and BESS options.Results of a two-level ANOVA did not show evidence of any effect by dialect and scoring method. Logistic regression analyses revealed that both DSS and BESS exhibited poor classification accuracy, suggesting that they are statistically unreliable methods of DLD identification in children who speak either AAE or GAE.Although BESS is intended to minimize linguistic bias compared with DSS, neither approach yielded adequate diagnostic accuracy in this study. However, both can provide valuable information on grammatical features in a child's expressive language to guide intervention.