Related Experiment Video
Updated: Mar 13, 2026

Decomposing the Variance in Reading Comprehension to Reveal the Unique and Common Effects of Language and Decoding
Published on: October 11, 2018
Difference Versus Deficit in Child African American English
Harry N Seymour1, Linda Bland-Stewart2, Lisa J Green3
1University of Massachusetts, Amherst.
Abstract:
We propose that shared features (noncontrastive) between African American English (AAE) and Standard American English (SAE) may be more diagnostically salient than features not shared (contrastive) when identifying children of AAE language backgrounds with language disorders. The syntax of child speakers of AAE with language disorders (LD) and child speakers of AAE without language disorders (NLD) were compared. Syntactic features were transcribed from conversational language samples of seven LD and seven NLD children, and these features were classified according to their overlapping relationship with SAE. Shared features between AAE and SAE were designated as "noncontrastive" and features not shared as "contrastive". The production of several noncontrastive linguistic features were significantly different between groups, whereas group differences were nonsignificant for all contrastive features, with the exception of the past tense /ed/ morpheme.
More Related Videos
07:18Author Spotlight: Deciphering the Cognitive and Neural Mechanisms of Gesture in Communication
Published on: January 26, 2024
09:00Author Spotlight: Validation of SICOLE-R for Assessing Cognitive and Reading Skills in Spanish-Speaking Children and Its Role in Personalized Education
Published on: August 16, 2024
Related Concept Videos
Learning Disabilities
Dyslexia
Dyslexia is a...
Language Development
The critical period for language acquisition suggests that the ability to acquire language is at its peak early in life. As people age, this proficiency decreases. Language development begins very...
Self-Discrepancy Theory
Oppositional Defiant Disorder
Diagnostic Criteria and...
Self-Discrepancy and Its Effects
Mean Absolute Deviation
Let us consider a dataset containing the number of unsold cupcakes in five shops: 10, 15, 8, 7, and 10. Initially, calculate the sample mean. Then calculate the deviation, or the difference, between each data value and the mean. Next, the absolute values of these deviations are added and divided by the sample size to...