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Working memory performance in children with and without specific language impairment in two nonmainstream dialects of English

Published online by Cambridge University Press:  02 November 2017

JANET L. MCDONALD ,
CHRISTY M. SEIDEL ,
REBECCA HAMMARLUND  and
JANNA B. OETTING
JANET L. MCDONALD*
Affiliation:
Louisiana State University
CHRISTY M. SEIDEL
Affiliation:
Louisiana State University
REBECCA HAMMARLUND
Affiliation:
Louisiana State University
JANNA B. OETTING
Affiliation:
Louisiana State University
*
ADDRESS FOR CORRESPONDENCE Janet L. McDonald, Department of Psychology, Louisiana State University, Baton Rouge, LA 70803. E-mail: psmcdo@lsu.edu
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Abstract

Using speakers of either African American English or Southern White English, we asked whether a working memory measure was linguistically unbiased, that is, equally able to distinguish between children with and without specific language impairment (SLI) across dialects, with similar error profiles and similar correlations to standardized test scores. We also examined whether the measure was affected by a child's nonmainstream dialect density. Fifty-three kindergarteners with SLI and 53 typically developing controls (70 African American English, 36 Southern White English) were given a size judgment working memory task, which involved reordering items by physical size before recall, as well as tests of syntax, vocabulary, intelligence, and nonmainstream density. Across dialects, children with SLI earned significantly poorer span scores than controls, and made more nonlist errors. Span and standardized language test performance were correlated; however, they were also both correlated with nonmainstream density. After partialing out density, span continued to differentiate the groups and correlate with syntax measures in both dialects. Thus, working memory performance can distinguish between children with and without SLI and is equally related to syntactic abilities across dialects. However, the correlation between span and nonmainstream dialect density indicates that processing-based verbal working memory tasks may not be as free from linguistic bias as often thought. Additional studies are needed to further explore this relationship.

Keywords

dialectsnonmainstream dialect densityspecific language impairmentworking memory
Type
Articles
Information
Applied Psycholinguistics , Volume 39 , Issue 1 , January 2018 , pp. 145 - 167
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Copyright
Copyright © Cambridge University Press 2017 

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References

REFERENCES

Adams, A., Bourke, L., & Willis, C. (1999). Working memory and spoken language comprehension in young children. International Journal of Psychology, 34, 364–373.Google Scholar
Alloway, T. P., Gathercole, S. E., Willis, C., & Adams, A. (2004). A structural analysis of working memory and related cognitive skills in young children. Journal of Experimental Child Psychology, 87, 85–106.Google Scholar
Barbu, S., Martin, N., & Chevrot, J. (2014). Maintenance of regional dialects: A matter of gender? Boys, but not girls, use local varieties in relation to their friend's nativeness and local identity. Frontiers in Psychology, 5, 1–11.Google Scholar
Briscoe, J., & Rankin, P. M. (2009). Exploration of a “double-jeopardy” hypothesis within working memory profiles for children with specific language impairment. International Journal of Language & Communication Disorders, 44, 236–250.Google Scholar
Brown, M. C. (2011). Dialect and lexical access: An investigation into dialect density, dialect environment and word knowledge (Unpublished doctoral dissertation, University of Wisconsin, Madison).Google Scholar
Campbell, T., Dollaghan, C., Needleman, H., & Janosky, J. (1997). Reducing bias in language assessment: Processing-dependent measures. Journal of Speech and Hearing Research, 40, 519–525.Google Scholar
Charity, A. H., Scarborough, H. S., & Griffin, D. (2004). Familiarity with “school English” in African-American children and its relation to early reading achievement. Child Development, 75, 1340–1356.CrossRefGoogle ScholarPubMed
Cherry, K. E., Elliott, E. M., & Reese, C. M. (2007). Age and individual differences in working memory: The size judgment span task. Journal of General Psychology, 134, 43–65.Google Scholar
Cherry, K. E., & Park, D. C. (1993). Individual difference and contextual variables influence spatial memory in younger and older adults. Psychology and Aging, 8, 517–526.Google Scholar
Cleveland, L. H., & Oetting, J. B. (2013). Children's marking of verbal –s by nonmainstream English dialect and clinical status. American Journal of Speech-Language Pathology, 22, 604–614.Google Scholar
Connor, C. M., & Craig, H. K. (2006). African American preschoolers’ language, emergent literacy skills, and use of African American English: A complex relation. Journal of Speech, Language, and Hearing Research, 49, 771–792.Google Scholar
Conway, A. R. A., Kane, M. J., Bunting, M. F., Hambrick, D. Z., Wilhelm, O., & Engle, R. W. (2005). Working memory span tasks: A review and a user's guide. Psychonomic Bulletin and Review, 12, 769–786.Google Scholar
Craig, H. K., Kolenic, G. E., & Hensel, S. L. (2014). African American English-speaking students: A longitudinal examination of style shifting from kindergarten through second grade. Journal of Speech, Language, and Hearing Research, 57, 143–157.Google Scholar
Craig, H. K., Thompson, C. A., Washington, J. A., & Porter, S. L. (2004). Performance of elementary-grade African American students on the Gray Oral Reading Tests. Language, Speech, Hearing Services in Schools, 34, 141–154.Google Scholar
Craig, H. K., & Washington, J. A. (2000). An assessment battery for identifying language impairments in African American children. Journal of Speech, Language, and Hearing Research, 43, 366–379.CrossRefGoogle ScholarPubMed
Craig, H. K., & Washington, J. A. (2004). Grade-related changes in the production of African American English. Journal of Speech, Language, and Hearing Research, 47, 450–463.CrossRefGoogle ScholarPubMed
Craig, H. K., Zhang, L., Hensel, S. L., & Quinn, E. J. (2009). African American English-speaking students: An examination of the relationship between dialect shifting and reading outcomes. Journal of Speech, Language, And Hearing Research, 52, 839–855.Google Scholar
Dollaghan, C., & Campbell, T. F. (1998). Nonword repetition and child language impairment. Journal of Speech, Language, and Hearing Research, 41, 1136–1146.Google Scholar
Dunn, L. M., & Dunn, D. M. (2007). Peabody Picture Vocabulary Test (4th ed.). Toronto: Pearson Education.Google Scholar
Edwards, J., Beckman, M. E., & Munson, B. (2004). The interaction between vocabulary size and phonotactic probability effects on children's production accuracy and fluency in nonword repetition. Journal of Speech, Language, and Hearing Research, 47, 421–436.Google Scholar
Edwards, J., Gross, M., Chen, J., MacDonald, M. C., Kaplan, D., Brown, M., & Seidenberg, M. S. (2014). Dialect awareness and lexical comprehension of mainstream American English in African American English-speaking children. Journal of Speech, Language, and Hearing Research, 57, 1883–1895.CrossRefGoogle ScholarPubMed
Ehrler, D. J., &; McGhee, R. L. (2008). Primary Test of Nonverbal Intelligence. Austin, TX: PRO-ED.Google Scholar
Ellis Weismer, S., Evans, J., & Hesketh, L. J. (1999). An examination of verbal working memory capacity in children with specific language impairment. Journal of Speech, Language, and Hearing Research, 42, 1249–1260.Google Scholar
Ellis Weismer, S., Plante, E., Jones, M., & Tomblin, J. B. (2005). A functional magnetic resonance imaging investigation of verbal working memory in adolescents with specific language impairment. Journal of Speech, Language, and Hearing Research, 48, 405–425.Google Scholar
Engel, P. J., Santos, F. H., & Gathercole, S. E. (2008). Are working memory measures free of socioeconomic influence? Journal of Speech, Language, and Hearing Research, 51, 1580–1587.Google Scholar
Engel de Abreu, P., Conway, A. A., & Gathercole, S. E. (2010). Working memory and fluid intelligence in young children. Intelligence, 38, 552–561.Google Scholar
Engel de Abreu, P., Gathercole, S. E., & Martin, R. (2011). Disentangling the relationship between working memory and language: The roles of short-term storage and cognitive control. Learning and Individual Differences, 21, 569–574.Google Scholar
Engel de Abreu, P. M. J., Puglisi, M. L., Cruz-Santos, A., Befi-Lopes, D. M., & Martin, R. (2014). Effects of impoverished environmental conditions on working memory performance. Memory, 22, 323–331.Google Scholar
Friedman, N. P., & Miyake, A. (2005). Comparison of four scoring methods for the reading span test. Behavior Research Methods, 37, 581–590.Google Scholar
Frizelle, P., & Fletcher, P. (2015). The role of memory in processing relative clauses in children with specific language impairment. American Journal of Speech-Language Pathology, 24, 47–59.Google Scholar
Garrity, A. W., & Oetting, J. B. (2010). Auxiliary BE production by AAE-speaking children with and without specific language impairment. Journal of Speech, Language, and Hearing Research, 53, 1307–1320.Google Scholar
Giofrè, D., & Mammarella, I. C. (2014). The relationship between working memory and intelligence in children: Is the scoring procedure important? Intelligence, 46, 300–310.Google Scholar
Goldman, R., & Fristoe, M. (2000) Goldman-Fristoe Test of Articulation (2nd ed.). Circle Pines, MN: American Guidance Services.Google Scholar
Haake, M., Hansson, K., Gulz, A., Schötz, S., & Sahlén, B. (2014). The slower the better? Does the speaker's speech rate influence children's performance on a language comprehension test? International Journal of Speech-Language Pathology, 16, 181–190.Google Scholar
Hansen, L. B., Macizo, P., Duñabeitia, J. A., Saldaña, D., Carreiras, M., Fuentes, L. J., & Bajo, M. T. (2016). Emergent bilingualism and working memory development in school aged children. Language Learning, 64(Suppl. 2), 51–75.Google Scholar
Henry, L. A., Messer, D. J., & Nash, G. (2012). Executive functioning in children with specific language impairment. Journal of Child Psychology and Psychiatry, 53, 37–45.Google Scholar
Horton, R., & Apel, K. (2014). Examining the use of spoken dialect indices with African American children in the Southern United States. American Journal of Speech-Language Pathology, 23, 448–460.Google Scholar
Ivy, L. J., & Masterson, J. J. (2011). A comparison of oral and written English styles in African American students at different stages of writing development. Language, Speech, Hearing Services in Schools, 42, 31–40.Google Scholar
Just, M. A., & Carpenter, P. A. (1992). A capacity theory of comprehension: Individual differences in working memory. Psychological Review, 99, 122–149.Google Scholar
Laing, S. P., & Kamhi, A. (2003). Alternative assessment of language and literacy in culturally and linguistically diverse populations. Language, Speech, and Hearing Services in Schools, 34, 44–55.Google Scholar
Leonard, L. (2014). Children with specific language impairment. Cambridge, MA: MIT Press.Google Scholar
Lum, J. G., Conti-Ramsden, G., Page, D., & Ullman, M. T. (2012). Working, declarative and procedural memory in specific language impairment. Cortex, 48, 1138–1154.Google Scholar
Magimairaj, B. M., & Montgomery, J. W. (2012). Children's verbal working memory: Role of processing complexity in predicting spoken sentence comprehension. Journal of Speech, Language, and Hearing Research, 55, 669–682.Google Scholar
Mainela-Arnold, E., & Evans, J. L. (2005). Beyond capacity limitations: Determinants of word recall performance on verbal working memory span tasks in children with SLI. Journal of Speech, Language, and Hearing Research, 48, 897–909.Google Scholar
Mainela-Arnold, E., Evans, J. L., & Coady, J. (2010). Beyond capacity limitations: II. Effects of lexical processes on word recall in verbal working memory tasks in children with and without specific language impairment. Journal of Speech, Language, and Hearing Research, 53, 1656–1672.Google Scholar
Marton, K. (2008). Visuo-spatial processing and executive functions in children with specific language impairment. International Journal of Language & Communication Disorders, 43, 181–200.Google Scholar
Marton, K., & Eichorn, N. (2014). Interaction between working memory and long-term memory: A study in children with and without language impairment. Zeitschrift für Psychologie, 222, 90–99.CrossRefGoogle Scholar
Marton, K., Kelmenson, L., & Pinkhasova, M. (2007). Inhibition control and working memory capacity in children with SLI. Psychologia, 50, 110–121.Google Scholar
Marton, K., & Schwartz, R. G. (2003). Working memory capacity and language processes in children with specific language impairment. Journal of Speech, Language, and Hearing Research, 46, 1138–1153.Google Scholar
Marton, K., Schwartz, R. G., Farkas, L., & Katsnelson, V. (2006). Effect of sentence length and complexity on working memory performance in Hungarian children with specific language impairment (SLI): A cross-linguistic comparison. International Journal of Language & Communication Disorders, 41, 653–673.Google Scholar
McDonald, J. L. (2008). Grammaticality judgments in children: The role of age, working memory and phonological ability. Journal of Child Language, 35, 247–268.Google Scholar
McDonald, J. L., Seidel, C. M., Porter, K. L., Oetting, J. B., & Hegarty, M. (2011). Size judgment: Working memory and standardized test performance. Poster presented at the 2011 meeting of the American Speech-Language Hearing Association, San Diego, CA.Google Scholar
Mills, M. T. (2015). The effects of visual stimuli on the spoken narrative performance of school-age African American children. Language, Speech, and Hearing Services in Schools, 46, 337–351.Google Scholar
Montgomery, J. W. (2000a). Relation of working memory to off-line and real-time sentence processing in children with specific language impairment. Applied Psycholinguistics, 21, 117–148.Google Scholar
Montgomery, J. W. (2000b). Verbal working memory and sentence comprehension in children with specific language impairment. Journal of Speech, Language, and Hearing Research, 43, 293–308.Google Scholar
Montgomery, J. W., & Evans, J. L. (2009). Complex sentence comprehension and working memory in children with specific language impairment. Journal of Speech, Language, and Hearing Research, 52, 269–288.Google Scholar
Montgomery, J. W., Evans, J. L., & Gillam, R. B. (2009). Relation of auditory attention and complex sentence comprehension in children with specific language impairment: A preliminary study. Applied Psycholinguistics, 30, 123–151.Google Scholar
Moyle, M. J., Heilmann, J. J., & Finneran, D. A. (2014). The role of dialect density in nonword repetition performance: An examination with at-risk African American preschool children. Clinical Linguistics and Phonetics, 28, 682–696.Google Scholar
Newcomer, P. L. & Hammill, D. D. (2008). Test of Language Development—Primary (4th ed.). Austin, TX: PRO-ED.Google Scholar
Newkirk-Turner, B. R., Oetting, J. B., & Stockman, I. J. (2016). Development of auxiliaries by young children learning African American English. Language, Speech, Hearing Services in Schools, 47, 209–224.Google Scholar
Oetting, J. B. (2015). Dialect differences between African American English and Southern White English in children. In Lanehart, S.. (Ed.), Oxford handbook of African American language (pp. 512–518). New York: Oxford University Press.Google Scholar
Oetting, J. B., & Cleveland, L. H. (2006). The clinical utility of nonword repetition for children living in the rural of the US. Clinical Linguistics & Phonetics, 20, 553–561.Google Scholar
Oetting, J. B., Lee, R., & Porter, K. (2013). Evaluating the grammars of children who speak nonmainstream dialects of English. Topics in Language Disorders, 33, 140–151.CrossRefGoogle ScholarPubMed
Oetting, J. B., & McDonald, J. L. (2001). Nonmainstream dialect use and specific language impairment. Journal of Speech, Language, and Hearing Research, 44, 207–223.Google Scholar
Oetting, J. B., & McDonald, J. L. (2002). Methods for characterizing participants’ nonmainstream dialect use in child language research. Journal of Speech, Language, and Hearing Research, 45, 508–518.Google Scholar
Oetting, J. B., McDonald, J. L., Seidel, C. M., & Hegarty, M. (2016). Sentence recall by children with SLI across two nonmainstream dialects of English. Journal of Speech, Language, and Hearing Research, 59, 183–194.Google Scholar
Oetting, J. B., & Newkirk, B, L. (2008). Subject relatives by children with and without SLI across different dialects of English. Clinical Linguistics & Phonetics, 22, 111–125.Google Scholar
Petruccelli, N., Bavin, E. L., & Bretherton, L. (2012). Children with specific language impairment and resolved late talkers: Working memory profiles at 5 years. Journal of Speech, Language, and Hearing Research, 55, 1690–1703.CrossRefGoogle ScholarPubMed
Qi, C. H., Kaiser, A. P., Milan, S., & Hancock, T. (2006). Language performance of low-income African American and European American preschool children on the PPVT-III. Language, Speech, Hearing Services, in Schools, 37, 5–16.Google Scholar
Quail, M., Williams, C., & Leitão, S. (2009). Verbal working memory in specific language impairment: The effect of providing visual support. International Journal of Speech-Language Pathology, 11, 220–233.Google Scholar
Restrepo, M. A., Schwanenflugel, P. J., Blake, J., Neuharth-Pritchett, S., Cramer, S. E., & Ruston, H. P. (2006). Performance on the PPVT-III and the EVT: Applicability of the measures with African American and European American preschool children. Language, Speech, and Hearing Services in Schools, 37, 17–27.Google Scholar
Rivière, A. M., & Oetting, J. B. (2017). Marking of infinitival TO is influenced by a child's dialect and clinical status. Unpublished manuscript.Google Scholar
Rodekohr, R. K., & Haynes, W. O. (2001). Differentiating dialect from disorder: A comparison of two processing tasks and a standardized language test. Journal of Communication Disorders, 34, 255–272.Google Scholar
Schwartz, R. G. (Ed.). (in press). Handbook of child language disorders (2nd ed.). New York: Psychology Press.Google Scholar
Seymour, H. N., Bland-Stewart, L., & Green, L. J. (1998). Difference versus deficit in child African American English. Language, Speech, and Hearing Services in Schools, 29, 96–108.Google Scholar
Seymour, H. N., Roeper, T., & de Villiers, J. G. (2003). Diagnostic Evaluation of Language Variation Screening Test. San Antonio, TX: Psychological Corporation.Google Scholar
Seymour, H. N., Roeper, T., & de Villiers, J. G. (2005). Diagnostic Evaluation of Language Variation: Norm-Referenced Test. San Antonio, TX: Psychological Corporation.Google Scholar
St. Clair-Thompson, H., & Sykes, S. (2010). Scoring methods and the predictive ability of working memory tasks. Behavior Research Methods, 42, 969–975.Google Scholar
Stockman, I. J., Guillory, B., Seibert, M., & Boult, J. (2013). Toward validation of a minimal competence core of morphosyntax for African American children. American Journal of Speech-Language Pathology, 22, 40–56.Google Scholar
Stockman, I. J., Newkirk-Turner, B. L., Swartzlander, E., & Morris, L. R. (2016). Comparison of African American children's performances on a minimal competence core for morphosyntax and the Index of Productive Syntax. American Journal of Speech-Language Pathology, 25, 80–96.Google Scholar
Terry, N. P., Connor, C. M., Thomas-Tate, S., & Love, M. (2010). Examining relationships among dialect variation, literacy skills, and school context in first grade. Journal of Speech, Language, and Hearing Research, 53, 126–145.Google Scholar
Van Hofwegen, J., & Wolfram, W. (2010). Coming of age in African American English: A longitudinal study. Journal of Sociolinguistics, 14, 427–455.Google Scholar
Vugs, B., Hendriks, M., Cuperus, J., & Verhoeven, L. (2014). Working memory performance and executive function behaviors in young children with SLI. Research in Developmental Disabilities, 35, 62–74.Google Scholar
Washington, J. A., & Craig, H. K. (1994). Dialectal forms during discourse of poor, urban, African American preschoolers. Journal of Speech and Hearing Research, 37, 816–823.Google Scholar
Washington, J. A., & Craig, H. K. (1998). Socioeconomic status and gender influences on children's dialectal variations. Journal of Speech, Language, and Hearing Research, 41, 618–626.Google Scholar
Washington, J. A., & Craig, H. K. (2004). A language screening protocol for use with young African American children in urban settings. American Journal of Speech-Language Pathology, 13, 329–340.Google Scholar
Wyatt, T. A. (2015). Assessing the language skills of African American English child speakers. In Lanehart, S. (Ed.), The Oxford handbook of African American language (pp. 526–546). New York: Oxford University Press.Google Scholar