The Growth of Complex Syntax in School-Age African American Children Who Speak African American English

PURPOSE

Syntax provides critical support for both academic success and linguistic growth, yet it has not been a focus of language research in school-age African American children. This study examines complex syntax performance of African American children in second through fifth grades.

METHOD

The current study explores the syntactic performances of African American children (N = 513) in Grades 2-5 on the Test of Language Development-Intermediate who speak African American English. Multilevel modeling was used to evaluate the growth and associated changes between dialect density and syntax. Analyzed data were compared both to the normative sample and within the recruited sample.

RESULTS

The results suggest that dialect density exerted its impact early but did not continue to influence syntactic growth over time. Additionally, it was not until dialect density was accounted for in growth models that African American children's syntactic growth resembled normative expectations of a standardized language instrument.

CONCLUSION

The current study suggests that failure to consider cultural language differences obscures our understanding of African American students' linguistic competence on standardized language assessments.

The Acquisition of Black Language by Spanish-Speaking Preschoolers: A Community-Based Sociolinguistic Approach to Language Assessment

PURPOSE

The purpose of this case series was to demonstrate a community-based sociolinguistic approach to language sample analysis (LSA) for the evaluation of Spanish-English bilingual preschoolers acquiring Black language (BL). As part of a comprehensive bilingual speech-language evaluation, we examined sociolinguistic variables in the context of the children's English language samples. Specific emphasis is placed on sociolinguistic information to account for all language(s) and dialect(s) in each child's environment, BL feature patterns, and appropriate scoring procedures for characterizing language use.

METHOD

This case series includes four monolingual English-speaking and four bilingual Spanish-English-speaking 4-year-olds in a linguistically diverse preschool program. Play samples were collected from each child and coded for morphosyntactic features across three categories: BL, Spanish-Influenced English, and shared. Measures derived from the language samples include percent grammatical utterances, mean length of utterance in words, and number of different words. The children's language is characterized within a community-based sociolinguistic approach that combines three culturally responsive methods for assessment found in the speech-language pathology literature in addition to a novel sociolinguistic questionnaire.

RESULTS

We explain how conducting LSA using a community-based sociolinguistic approach yields diagnostically relevant information that is pertinent to conducting a comprehensive and accurate evaluation of preschoolers in linguistically diverse settings without the use of standardized assessments.

CONCLUSION

A community-based sociolinguistic approach to LSA is a useful procedure for mitigating misdiagnosis in preschoolers reared in linguistically diverse environments.

Evaluating Different Scoring Systems for a Picture Description Task Among Preschool Children Who Speak African American English

PURPOSE

Measures of grammatical accuracy are effective measures of children's language skills. However, many measures, such as percent grammatical utterances, were developed for children who speak General American English (GAE) and, therefore, may not be appropriate for students who speak other dialects. This study examines different scoring systems for a picture description task to explore the impact of different systems for children who speak African American English (AAE).

METHOD

Eighteen preschool-age children who speak AAE completed a play-based language sample and a picture description task. The Index of Productive Syntax (IPSyn) was calculated for the play-based language samples and used as the reference measure. The picture description task was scored using four scoring systems: an expansive AAE scoring system, a GAE scoring system, and two strategic scoring systems. Scores were compared for each scoring system, and correlations between IPSyn scores and picture description scores were conducted.

RESULTS

Scores on the picture description task were highest in the expansive AAE scoring system, followed by scores in the strategic scoring systems, all of which were higher than scores in the GAE scoring system. There was a significant correlation between IPSyn scores and picture description scores when using the GAE scoring system and the strategic scoring systems, but not when using the expansive AAE scoring system.

CONCLUSIONS

Different scoring systems affect AAE-speaking preschoolers' scores on measures of grammatical accuracy, and the use of an expansive AAE scoring system, based on lists of nonmainstream features, may diminish the ability to differentiate between children with different ability levels. Future research is needed to refine scoring systems and to explore the validity of different scoring systems for detecting differences between preschoolers who speak AAE, with and without developmental language disorder.

SUPPLEMENTAL MATERIAL

https://doi.org/10.23641/asha.21498618.

Marking of Tense and Agreement in Language Samples by Children With and Without Specific Language Impairment in African American English and Southern White English: Evaluation of Scoring Approaches and Cut Scores Across Structures

Purpose As follow-up to a previous study of probes, we evaluated the marking of tense and agreement (T/A) in language samples by children with specific language impairment (SLI) and typically developing controls in African American English (AAE) and Southern White English (SWE) while also examining the clinical utility of different scoring approaches and cut scores across structures. Method The samples came from 70 AAE- and 36 SWE-speaking kindergartners, evenly divided between the SLI and typically developing groups. The structures were past tense, verbal -s, auxiliary BE present, and auxiliary BE past. The scoring approaches were unmodified, modified, and strategic; these approaches varied in the scoring of forms classified as nonmainstream and other. The cut scores were dialect-universal and dialect-specific. Results Although low numbers of some forms limited the analyses, the results generally supported those previously found for the probes. The children produced a large and diverse inventory of mainstream and nonmainstream T/A forms within the samples; strategic scoring led to the greatest differences between the clinical groups while reducing effects of the children's dialects; and dialect-specific cut scores resulted in better clinical classification accuracies, with measures of past tense leading to the highest levels of classification accuracy. Conclusions For children with SLI, the findings contribute to studies that call for a paradigm shift in how children's T/A deficits are assessed and treated across dialects. A comparison of findings from the samples and probes indicates that probes may be the better task for identifying T/A deficits in children with SLI in AAE and SWE. Supplemental Material https://doi.org/10.23641/asha.13564709.

Using Free Computer-Assisted Language Sample Analysis to Evaluate and Set Treatment Goals for Children Who Speak African American English

Purpose Spoken language sample analysis (LSA) is widely considered to be a critical component of assessment for child language disorders. It is our best window into a preschool child's everyday expressive communicative skills. However, historically, the process can be cumbersome, and reference values against which LSA findings can be "benchmarked" are based on surprisingly little data. Moreover, current LSA protocols potentially disadvantage speakers of nonmainstream English varieties, such as African American English (AAE), blurring the line between language difference and disorder. Method We provide a tutorial on the use of free software (Computerized Language Analysis [CLAN]) enabled by the ongoing National Institute on Deafness and Other Communication Disorders-funded "Child Language Assessment Project." CLAN harnesses the advanced computational power of the Child Language Data Exchange System archive (www.childes.talkbank.org), with an aim to develop and test fine-grained and potentially language variety-sensitive benchmarks for a range of LSA measures. Using retrospective analysis of data from AAE-speaking children, we demonstrate how CLAN LSA can facilitate dialect-fair assessment and therapy goal setting. Results Using data originally collected to norm the Diagnostic Evaluation of Language Variation, we suggest that Developmental Sentence Scoring does not appear to bias against children who speak AAE but does identify children who have language impairment (LI). Other LSA measure scores were depressed in the group of AAE-speaking children with LI but did not consistently differentiate individual children as LI. Furthermore, CLAN software permits rapid, in-depth analysis using Developmental Sentence Scoring and the Index of Productive Syntax that can identify potential intervention targets for children with developmental language disorder.