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.

Seeking a valid gold standard for an innovative, dialect-neutral language test.

PURPOSE In this study, the authors explored alternative gold standards to validate an innovative, dialect-neutral language assessment. METHOD Participants were 78 African American children, ages 5;0 (years;months) to 6;11. Twenty participants had previously been identified as having language impairment. The Diagnostic Evaluation of Language Variation-Norm Referenced (DELV-NR; Seymour, Roeper, & J. de Villiers, 2005) was administered, and concurrent language samples (LSs) were collected. Using LS profiles as the gold standard, sensitivity, specificity, and other measures of diagnostic accuracy were compared for diagnoses made from the DELV-NR and participants' clinical status prior to recruitment. In a second analysis, the authors used results from the first analysis to make evidence-based adjustments in the estimates of DELV-NR diagnostic accuracy. RESULTS Accuracy of the DELV-NR relative to LS profiles was greater than that of prior diagnoses, indicating that the DELV-NR was an improvement over preexisting diagnoses for this group. Specificity met conventional standards, but sensitivity was somewhat low. Reanalysis using the positive and negative predictive power of the preexisting diagnosis in a discrepant-resolution procedure revealed that estimates for sensitivity and specificity for the DELV-NR were .85 and .93, respectively. CONCLUSION The authors found that, even after making allowances for the imperfection of available gold standards, clinical decisions made with the DELV-NR achieved high values on conventional measures of diagnostic accuracy.

Removing obstacles for African American English-speaking children through greater understanding of language difference.

Language difference among speakers of African American English (AAE) has often been considered language deficit, based on a lack of understanding about the AAE variety. Following Labov (1972), Wolfram (1969), Green (2002, 2011), and others, we define AAE as a complex rule-governed linguistic system and briefly discuss language structures that it shares with general American English (GAE) and others that are unique to AAE. We suggest ways in which mistaken ideas about the language variety add to children's difficulties in learning the mainstream dialect and, in effect, deny them the benefits of their educational programs. We propose that a linguistically informed approach that highlights correspondences between AAE and the mainstream dialect and trains students and teachers to understand language varieties at a metalinguistic level creates environments that support the academic achievement of AAE-speaking students. Finally, we present 3 program types that are recommended for helping students achieve the skills they need to be successful in multiple linguistic environments.

Theoretical and empirical bases for dialect-neutral language assessment: contributions from theoretical and applied linguistics to communication disorders.

Three avenues of theoretical research provide insights for discovering abstract properties of language that are subject to disorder and amenable to assessment: (1) the study of universal grammar and its acquisition; (2) descriptions of African American English (AAE) Syntax, Semantics, and Phonology within theoretical linguistics; and (3) the study of specific language impairment (SLI) cross-linguistically. Abstract linguistic concepts were translated into a set of assessment protocols that were used to establish normative data on language acquisition (developmental milestones) in typically developing AAE children ages 4 to 9 years. Testing AAE-speaking language impaired (LI) children and both typically developing (TD) and LI Mainstream American English (MAE)-learning children on these same measures provided the data to select assessments for which (1) TD MAE and AAE children performed the same, and (2) TD performance was reliably different from LI performance in both dialect groups.

Steps in designing and implementing an innovative assessment instrument.

Preliminary research for innovative assessments valid for both African American English- and Mainstream American English-speaking children suggested a process consisting of two separate tests: (1) a screening test, and (2) a comprehensive test of Syntax, Pragmatics, Semantics, and Phonology. Language probes were designed to accomplish the functions of dialect identification, using highly contrastive features between the dialects, and diagnosis of disorder, which uses noncontrastive elements. The resulting assessment/proposal, which has undergone extensive experimental field testing, differs from existing tests at the level of its individual items and in the process of test construction as a whole.

Distinguishing dialect and development from disorder: case studies.

Seven case studies are presented to illustrate how the tasks in the proposed test battery provide the tools to distinguish language differences due to development or dialect from true signs of delay or disorder. The case studies exemplify different combinations of language strengths and weakness found among participants of extensive field research in the age range from 4 to 9 years. Special attention is paid to certain aspects of language development, such as time clauses or double wh-questions, in which dialect features play no role. All levels of performance, from the highest to the lowest, are found in children who are speakers of Mainstream American English (MAE) and the same is true for those whose language patterns indicate a strong variation from MAE.