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.

Embracing Theory as Liberatory Practice: Journeying Toward a Critical Praxis of Speech, Language, and Hearing

PURPOSE

The purpose of this tutorial is to guide practitioners to a critical praxis of speech, language, and hearing. This tutorial provides a foundational knowledge of critical theory as an approach to framing, conceptualizing, and interpreting phenomena and demonstrates its application to the speech, language, and hearing profession.

METHOD

This tutorial reviews critical theory as a category of frameworks that challenge existing power structures and provides a critical analysis of the profession's approach to language using a raciolinguistic framework. Questions are included for the reader to guide self-reflection and preparation for enacting a critical praxis oriented toward justice. Recommended readings are provided for the reader to continue the journey beyond these pages.

RESULTS

The author presents a critical praxis of speech, language, and hearing, drawing directly from two additional critical frameworks: Black fugitivity and culturally sustaining pedagogy. This critical praxis is discussed within the context of three major areas-activism, assessment, and intervention-with a reconsideration of how to leverage skills, resources, and strategies in a way that centers (racial) identity formation and multimodal communication.

CONCLUSION

Next steps are suggested, and readers are invited to become theorists who continue to develop a critical praxis for their context.

SUPPLEMENTAL MATERIAL

https://doi.org/10.23641/asha.22312213.

Sharpening Our Tools: A Systematic Review to Identify Diagnostically Accurate Language Sample Measures

PURPOSE

This systematic review provides a comprehensive summary of the diagnostic accuracy of English language sample analysis (LSA) measures for the identification of developmental language disorder.

METHOD

An electronic database search was conducted to identify English publications reporting empirical data on the diagnostic accuracy of English LSA measures for children aged 3 years or older.

RESULTS

Twenty-eight studies were reviewed. Studies included between 18 and 676 participants ranging in age from 3;0 to 13;6 (years;months). Analyzed measures targeted multiple linguistic domains, and diagnostic accuracy ranged from less than 25% to greater than 90%. Morphosyntax measures achieved the highest accuracy, especially in combination with length measures, and at least one acceptable measure was identified for each 1-year age band up to 10 years old.

CONCLUSION

Several LSA measures or combinations of measures are clinically useful for the identification of developmental language disorder, although more research is needed to replicate findings using rigorous methods and to explore measures that are informative for adolescents and across diverse varieties of English.

SUPPLEMENTAL MATERIAL

https://doi.org/10.23641/asha.21183247.

The Reliability of Short Conversational Language Sample Measures in Children With and Without Developmental Language Disorder

PURPOSE

Language sample analysis (LSA) represents an ecologically valid method for diagnosing, identifying goals, and measuring progress in children with developmental language disorder (DLD). LSA is, however, time consuming. The purpose of this study was to determine the length of sample needed to obtain reliable LSA measures for children in kindergarten and first grade with typical language (TL) and DLD using automated analyses from the Systematic Analysis of Language Transcripts software.

METHOD

Play-based conversational language samples collected on kindergarten to first-grade children with TL (n = 21) and DLD (n = 21) from a community-based sample were analyzed. Eight LSA measures were calculated from 1-, 3-, 5-, 7-, and 10-min sample cuts and compared to 20-min samples for reliability.

RESULTS

Reliability estimates were similar for the TL and DLD groups except for errors and omissions, which showed overall higher levels of reliability in the DLD group and reached acceptable levels at 3 min. Percent grammatical utterances were reliable at 7 min in the DLD group and not reliable in shorter samples in the TL group. The subordination index was reliable at 10 min for both groups. Number of different words reached acceptable reliability at the 3-min length for the DLD group and at the 10-min length for the TL group. Utterances and words per minute were reliable at 3 min and mean length of utterance at 7 min in both groups.

CONCLUSIONS

Speech-language pathologists can obtain reliable LSA measures from shorter, 7-min conversational language samples from kindergarten to first-grade children with DLD. Shorter language samples may encourage increased use of LSA.

SUPPLEMENTAL MATERIAL

https://doi.org/10.23641/asha.19529287.

Preschool Minority Children's Persian Vocabulary Development: A Language Sample Analysis

This study linked background TV and socioeconomic status (SES) to minority children’s Persian vocabulary development. To this end, 80 Iranian preschool children (aged 5–6 years old) from two minority groups of Arabs and Turks were selected using stratified random sampling. They were simultaneous bilinguals, i.e., their mother tongue was either Arabic or Azari and their first language was Persian. Language sample analysis (LSA) was used to measure vocabulary development through a 15-min interview by language experts (PhD in applied linguistics). The LSA measures included total number of utterances (TNU), total number of words (TNW), total number of new words (NDW), and mean length of utterance (MLU). A series of independent-samples t test, paired-samples t test, and repeated measures MANOVA tests were ran to examine data. Results showed significant improvements in children’s vocabulary scores from pretest to posttest for all children. In addition, high-SES children scored higher on the vocabulary measures in pretest and posttest. Moreover, background TV was associated with higher means in the TNW and the NDW in groups. The researchers concluded that background TV may be related to higher vocabulary scores in low-SES families as it may compensate for some linguistics gaps in these families including lower amount of child-parent interaction, play, and parents’ level of literacy.

Language Variation in the Writing of African American Students: Factors Predicting Reading Achievement

Purpose This study aims to examine the predictive relation between measures obtained from African American students' written narrative language samples and reading achievement, as measured by standardized academic assessments. Method Written language samples were elicited from 207 African American students in Grades 1-8. The samples were examined for morphosyntactic variations from standardized written Generalized American English (GAE). These variations were categorized as either (a) specific to African American English (AAE) or (b) neutral across AAE and standardized written GAE (i.e., considered ungrammatical both in AAE and in standardized written GAE). Structural equation modeling was employed to then examine the predictive relation between the density of AAE-specific forms in students' writing and their performance on standardized assessments of literacy and reading vocabulary. This relation was examined while accounting for the density of dialect-neutral morphosyntactic forms, reported family income, age, and written sample length. Results The written samples were highly variable in terms of morphosyntax. Younger students and those from lower income homes tended to use AAE-specific forms at higher rates. However, the density of AAE-specific forms did not significantly predict standardized literacy scores or reading vocabulary after accounting for dialect-neutral variations, income, and sample length. Conclusions These results support the ongoing need to better understand the language, literacy, and overall academic development of students from all backgrounds. It may be essential to focus on dialect-neutral language forms (i.e., morphosyntactic forms that are consistent across both AAE and standardized written GAE) in written samples to maximize assessment validity across students who speak varying dialects of English. Supplemental Material https://doi.org/10.23641/asha.16879558.

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.

Lexical Diversity in Cypriot-Greek-Speaking Toddlers: A Preliminary Longitudinal Study

BACKGROUND/AIMS

The number of different words (NDW), an essential measure of lexical diversity, is extremely valuable towards providing data regarding children's language development. However, in Cyprus, practitioners are deprived of the opportunity to utilize NDW, as no normative data exist for toddlers who speak Cypriot Greek (CYG).

METHODS

The language samples of 36 monolingual CYG-speaking toddlers (aged 36, 40, 44, and 48 months) with a typical course of language development were collected and quantitatively analyzed. Based on the language sample analysis, we ascertained typical NDW values at the aforementioned ages and tested through a linear mixed-effects model whether gender and age affected NDW.

RESULTS

The results showed that age significantly predicted NDW increase; gender did not emerge as a significant predictor of NDW, but this may be due to the small statistical power.

CONCLUSION

This study intends to provide the first step towards longitudinal investigation of the level of NDW for CYG-speaking children with a typical course of language development. The provided data, which could serve as preliminary norms, may be used - under some restrictions for the time being - during language assessment. Moreover, these acquired data could contribute to the development of an NDW database for diverse CYG-speaking populations of different age ranges in the future.

Sampling Utterances and Grammatical Analysis Revised (SUGAR): Quantitative Values for Language Sample Analysis Measures in 7- to 11-Year-Old Children

Purpose The purpose of this study was to document whether mean length of utterance_SUGAR (MLU_S), total number of words (TNW), clauses per sentence (CPS), and/or words per sentence (WPS) demonstrated age-related changes in children with typically developing language, aged 7;0-10;11 (years;months). Method Participants were 132 typically developing children (aged 7;0-10;11), with a final sample size of 112 participants (57 boys and 55 girls). Fifty utterance conversational language samples were collected using a language sampling protocol. Four language sample analysis metrics (i.e., MLU_S, TNW, CPS, and WPS) were calculated from the samples. Results Results indicated statistically significant age-related increases in three (MLU_S, TNW, and WPS) of the four metrics. Conclusions MLU_S, TNW, CPS, and WPS may be used with other assessment data to document age-related language changes in children aged 7;0-10;11. When combined with previous data from younger (aged 3;0-7;11) children (Pavelko & Owens, 2017), the data suggest that these metrics offer a set of measures that can be used to assess children's conversational language skills from preschool through late elementary school.

Diagnostic Accuracy of the Sampling Utterances and Grammatical Analysis Revised (SUGAR) Measures for Identifying Children With Language Impairment

Purpose

The purpose of this study was twofold: (a) to determine the diagnostic accuracy of the four Sampling Utterances and Grammatical Analysis Revised (SUGAR) metrics, including total number of words, mean length of utterance SUGAR , words per sentence, and clauses per sentence in differentiating children with language impairment (LI) from those with typical language development, and (b) to compare the average time to collect, transcribe, and analyze 50-utterance language samples for children with LI to those with typical language development.

Method

Participants were 306 children (LI, 36; typical language development, 270) who ranged in age from 3;0 (years;months) to 7;11. Fifty-utterance conversational language samples were obtained using a conversational protocol. The four SUGAR metrics were calculated from the samples.

Results

Cut scores of −1 SD for mean length of utterance SUGAR and −1.25 cut score for clauses per sentence resulted in sensitivity of 97.22%, specificity of 82.96%, a positive likelihood ratio of 5.71, and a negative likelihood ratio of 0.03. On average, it took a total time of 20:20 min ( SD = 4:37, range: 13:11–30:25) to collect, transcribe, and analyze language samples for children with LI. Children with LI took significantly less time to produce 50 utterances, when compared to their typically developing peers. There were no significant differences in the time to transcribe and analyze language samples of children with LI compared to their typically developing peers.

Conclusions

The SUGAR metrics, in combination with other data sources (e.g., standardized testing, dynamic assessment, observation), can be used to identify preschool- and early elementary–aged children with LI. Furthermore, for children with LI, language sampling and analysis using the SUGAR method can be completed in approximately 20 min. The results of this study indicated the SUGAR measures can effectively and efficiently help in identifying LI.

Supplemental Material

https://doi.org/10.23641/asha.7728638

Sampling Utterances and Grammatical Analysis Revised (SUGAR): New Normative Values for Language Sample Analysis Measures

Purpose

The purpose of this study was to document whether mean length of utterance (MLU S ), total number of words (TNW), clauses per sentence (CPS), and/or words per sentence (WPS) demonstrated age-related changes in children with typical language and to document the average time to collect, transcribe, and analyze conversational language samples.

Method

Participants were 385 typically developing children (ages 3;0–7;11 [years;months]), with a final sample size of 270 participants (133 males and 137 females). Fifty-utterance conversational language samples were collected using a language sampling protocol. Four language sample analysis (LSA) metrics (i.e., MLU S , TNW, CPS, WPS) were calculated from the samples.

Results

Results indicated statistically significant age-related increases in the four metrics. The average time to collect, transcribe, and analyze each sample was 20.91 min ( SD = 3.97; range = 10.55–33.37).

Conclusion

MLU S , TNW, CPS, and WPS may be used with other assessment data to document age-related changes in children's language. When used as part of an assessment, the results from all of the metrics should be considered. Considering results from only 1 individual metric is not encouraged. These results suggest LSA may be completed in approximately 20 min, which is less than the average time to administer a standardized, norm-referenced language assessment.

Evaluation and Eligibility for Speech-Language Services in Schools

It is critically important that speech-language pathologists understand the difference between educational identification of a speech-language impairment under the Individuals with Disabilities Education Act (IDEA) and the procedures used for a clinical determination of speech or language impairment. The authors review variations in terminology, federal and state regulations, and state, local, and professional guidance. Federal evaluation requirements and examples of differing state requirements are provided along with evidence-based recommendations for comprehensive assessment of students.

Comparison of African American Children's Performances on a Minimal Competence Core for Morphosyntax and the Index of Productive Syntax

PURPOSE

This study is a response to the need for evidence-based measures of spontaneous oral language to assess African American children under the age of 4 years. We determined if pass/fail status on a minimal competence core for morphosyntax (MCC-MS) was more highly related to scores on the Index of Productive Syntax (IPSyn)-the measure of convergent criterion validity-than to scores on 3 measures of divergent validity: number of different words (Watkins, Kelly, Harbers, & Hollis, 1995), Percentage of Consonants Correct-Revised (Shriberg, Austin, Lewis, McSweeney, & Wilson, 1997), and the Leiter International Performance Scale-Revised (Roid & Miller, 1997).

METHOD

Archival language samples for 68 African American 3-year-olds were analyzed to determine MCC-MS pass/fail status and the scores on measures of convergent and divergent validity.

RESULTS

Higher IPSyn scores were observed for 60 children who passed the MCC-MS than for 8 children who did not. A significant positive correlation, rpb = .73, between MCC-MS pass/fail status and IPSyn scores was observed. This coefficient was higher than MCC-MS correlations with measures of divergent validity: rpb = .13 (Leiter International Performance Scale-Revised), rpb = .42 (number of different words in 100 utterances), and rpb = .46 (Percentage of Consonants Correct-Revised).

CONCLUSION

The MCC-MS has convergent criterion validity with the IPSyn. Although more research is warranted, both measures can be potentially used in oral language assessments of African American 3-year-olds.

Sample length affects the reliability of language sample measures in 3-year-olds: evidence from parent-elicited conversational samples

PURPOSE

The goal of this study was to investigate the extent to which sample length affected the reliability of total number of words (TNW), number of different words (NDW), and mean length of C-units in morphemes (MLCUm) in parent-elicited conversational samples for 3-year-olds.

METHOD

Participants were sixty 3-year-olds. A 22-min language sample was collected from each child during free play with the parent in the laboratory. Samples of 1, 3, 7, and 10 min were extracted from the 22-min samples. TNW, NDW, and MLCUm were computed from each shorter sample and the 22-min sample. TNW and NDW were adjusted by number of minutes for comparisons. The differences and correlations between each shorter sample cut and the 22-min sample on MLCUm and adjusted TNW and NDW were computed.

RESULTS

The shorter samples and the 22-min samples significantly differed in adjusted TNW and NDW, but not in MLCUm. TNW reached an acceptable reliability level (i.e., r = .90) in 7-min samples. NDW and MLCUm approached the acceptable reliability level (rs = .88) in 7-min samples and reached it in 10-min samples.

CONCLUSION

For conversational language samples with similar collection procedures, samples of 7 to 10 min are desirable for calculating TNW, NDW, and MLCUm in 3-year-olds.

Using Technology to Facilitate Authentic Assessment of Bilingual Preschool Children

An increasing number of children in preschools and schools around the country are from culturally and linguistically diverse backgrounds and speak multiple languages. However, clinicians are often challenged in conducting least-biased assessments of bilingual children, which often results in over-referral or under- referral of these children to special education and related services. Utilizing naturalistic and authentic assessment of child language such as language sampling is a recommended approach to augment traditional assessments in clinical settings. The Language ENvironment Analysis (LENA) technology offers clinicians a time-and cost effective means to gathering representative language samples across home and school environments to help determine the presence of speech-language impairment in young bilingual children. We describe an exploratory study using the LENA with five Spanish-English bilingual children to identify the accuracy of traditionally transcribed child word counts as compared to the automated child vocalization analyses obtained through the LENA. Results indicate the need for more research to fully explore the clinical utility of this technology for assessment of bilingual children.

Examining the use of spoken dialect indices with African American children in the southern United States

PURPOSE

To examine the utility of different dialect indices that have been used to characterize the Non-Mainstream American English (NMAE) dialect of African American children. The relationships among 4 popular dialect indices were examined and compared with the results of a standardized tool used to classify the language variation of child speakers at 3 different grade levels.

METHOD

The authors used listener judgment ratings, 2 dialect density measures obtained from a narrative sample, a standardized tool (Part 1 of the Diagnostic Evaluation of Language Variation-Screener Test [DELV-ST; Seymour, Roper, & deVilliers, 2003]), and dialect variation scores (DVAR) obtained from the DELV-ST to characterize 113 African American children's spoken production of NMAE.

RESULTS

Grade-level effects on NMAE varied depending on the index used to measure dialect production. All of the dialect indices under investigation were related to one another. DELV-ST classification group effects were present on all but 1 of the indices used to capture NMAE.

CONCLUSIONS

Newer measures of NMAE, such as the DELV-ST and DVAR scores, are comparable to older measures such as dialect density measures and listener judgment ratings. Like listener judgment ratings, the DELV-ST and DVAR scores offer clinicians and researchers alike a quicker alternative to dialect density measures for confirming and quantifying the spoken production of NMAE dialect. The present findings confirm that, depending on the type of data collected and questions posed, researchers and clinicians alike are able to choose from multiple, valid, and reliable measures of non-mainstream dialect use.

Lexical diversity and omission errors as predictors of language ability in the narratives of sequential Spanish-English bilinguals: a cross-language comparison

PURPOSE

This study explored the utility of language sample analysis for evaluating language ability in school-age Spanish-English sequential bilingual children. Specifically, the relative potential of lexical diversity and word/morpheme omission as predictors of typical or atypical language status was evaluated.

METHOD

Narrative samples were obtained from 48 bilingual children in both of their languages using the suggested narrative retell protocol and coding conventions as per Systematic Analysis of Language Transcripts (SALT; Miller & Iglesias, 2008) software. An additional lexical diversity measure, VocD, was also calculated. A series of logistical hierarchical regressions explored the utility of the number of different words, VocD statistic, and word and morpheme omissions in each language for predicting language status.

RESULTS

Omission errors turned out to be the best predictors of bilingual language impairment at all ages, and this held true across languages. Although lexical diversity measures did not predict typical or atypical language status, the measures were significantly related to oral language proficiency in English and Spanish.

CONCLUSION

The results underscore the significance of omission errors in bilingual language impairment while simultaneously revealing the limitations of lexical diversity measures as indicators of impairment. The relationship between lexical diversity and oral language proficiency highlights the importance of considering relative language proficiency in bilingual assessment.

Toward validation of a minimal competence core of morphosyntax for African American children

PURPOSE

The authors set out to determine (a) whether African American children's spontaneous spoken language met use criteria for a revised minimal competence core with original and added morphosyntactic patterns at different geographical locations, and (b) whether pass/fail status on this core was differentiated on other criterion measures of language maturity.

METHOD

The authors used a common set of activities and stimuli to elicit spontaneous speech samples from Head Start students, age 3;0 (years; months). The 119 participants were distributed at a northern (Lansing, MI) and a southern (Baton Rouge, LA) location.

RESULTS

More than 80% of the children at each location met criteria for 10 core competencies. They included sentence length, type, complexity, and morphosyntactic elaborations of sentences at the lexical, phrasal, and clausal levels. The 2 most significant predictors of pass/fail outcomes in a regression analysis were (a) clinical referral status and (b) the number of different words (NDW(100)) spoken in a speech sample.

CONCLUSION

A minimal competence core analyses of spontaneous oral language samples may help to identify delayed spoken grammars in African American children.