Hostname: page-component-55f67697df-zpzq9 Total loading time: 0 Render date: 2025-05-10T16:54:50.182Z Has data issue: false hasContentIssue false
  • English
  • Français

Validation of the Language ENvironment Analysis (LENA) system for Dutch

Published online by Cambridge University Press:  27 October 2020

Eva BRUYNEEL ,
Ellen DEMURIE ,
Sofie BOTERBERG ,
Petra WARREYN  and
Herbert ROEYERS
Eva BRUYNEEL*
Affiliation:
Ghent University, Department of Experimental-Clinical and Health Psychology, Belgium
Ellen DEMURIE
Affiliation:
Ghent University, Department of Experimental-Clinical and Health Psychology, Belgium
Sofie BOTERBERG
Affiliation:
Ghent University, Department of Experimental-Clinical and Health Psychology, Belgium
Petra WARREYN
Affiliation:
Ghent University, Department of Experimental-Clinical and Health Psychology, Belgium
Herbert ROEYERS
Affiliation:
Ghent University, Department of Experimental-Clinical and Health Psychology, Belgium
*
*Corresponding author: Eva Bruyneel, Henri Dunantlaan 2, 9000 Gent, Belgium. E-mail: [email protected]
Get access Rights & Permissions [Opens in a new window]

Abstract

The validity of the Language ENvironment Analysis (LENA) System was evaluated for Dutch. 216 5-min samples (six samples per age per child) were selected from daylong recordings at 5, 10 and 14 months of age of native Dutch-speaking younger siblings of children with autism spectrum disorder (N = 6) and of typically developing children (N = 6). Two native Dutch-speaking coders counted the amount of adult words (AWC), child vocalisations (CVC) and conversational turns (CT). Consequently, correlations between LENA and human estimates were explored. Correlations were high for AWC at all ages (r = .73 to .81). Regarding CVC, estimates were moderately correlated at 5 months (r = .57) but the correlation decreased at 10 (r = .37) and 14 months (r = .14). Correlations for CT were low at all ages (r = .19 to .28). Lastly, correlations were not influenced by the risk status of the children.

Keywords

Language ENvironment AnalysisDutchautism spectrum disorder
Type
Article
Information
Journal of Child Language , Volume 48 , Issue 4 , July 2021 , pp. 765 - 791
Check for updates
Copyright
Copyright © The Author(s), 2020. Published by Cambridge University Press

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Article purchase

Temporarily unavailable

References

Aragon, M., & Yoshinaga-itano, C. (2012). Using Language ENvironment Analysis to Improve Outcomes for Children Who Are Deaf or Hard of Hearing. Seminars in Speech and Language, 33(4), 340–353.CrossRefGoogle ScholarPubMed
Bosco, F. A., Aguinis, H., Singh, K., Field, J. G., & Pierce, C. A. (2015). Correlational Effect Size Benchmarks. Journal of Applied Psychology, 100(2), 431–449. http://dx.doi.org/10.1037/a0038047CrossRefGoogle ScholarPubMed
Brian, A. J., Roncadin, C., Duku, E., Bryson, S. E., Smith, I. M., Roberts, W., Szatmari, P., Drmic, I., & Zwaigenbaum, L. (2014). Emerging cognitive profiles in high-risk infants with and without autism spectrum disorder. Research in Autism Spectrum Disorders, 8(11), 1557–1566. https://doi.org/10.1016/j.rasd.2014.07.021CrossRefGoogle Scholar
Burgess, S., Audet, L., & Harjusola-Webb, S. (2013). Quantitative and qualitative characteristics of the school and home language environments of preschool-aged children with ASD. Journal of Communication Disorders, 46(5–6), 428–439. https://doi.org/10.1016/j.jcomdis.2013.09.003CrossRefGoogle ScholarPubMed
Busch, T., Sangen, A., Vanpoucke, F., & van Wieringen, A. (2018). Correlation and agreement between Language ENvironment Analysis (LENATM) and manual transcription for Dutch natural language recordings. Behavior Research Methods, 50(5), 1921–1932. https://doi.org/10.3758/s13428-017-0960-0CrossRefGoogle Scholar
Canault, M., Le Normand, M. T., Foudil, S., Loundon, N., & Thai-Van, H. (2016). Reliability of the Language ENvironment Analysis system (LENATM) in European French. Behavior Research Methods, 48(3), 1109–1124. https://doi.org/10.3758/s13428-015-0634-8CrossRefGoogle Scholar
Caskey, M., & Vohr, B. (2013). Assessing language and language environment of high-risk infants and children: A new approach. Acta Paediatrica, International Journal of Paediatrics, 102(5), 451–461. https://doi.org/10.1111/apa.12195CrossRefGoogle ScholarPubMed
Cristia, A., Bulgarelli, F., & Bergelson, E. (2020a). Accuracy of the Language Environment Analysis (LENA) System Segmentation and Metrics: A Systematic Review. Journal of Speech Language and Hearing Research. https://doi.org/10.1044/2020_JSLHR-19-00017CrossRefGoogle ScholarPubMed
Cristia, A., Lavechin, M., Scaff, C., Soderstrom, M., Rowland, C., Räsänen, O., Bunce, J., & Bergelson, E. (2020b). A thorough evaluation of the Language Environment Analysis ( LENA ) system. Behavior Research Methods. https://doi.org/10.3758/s13428-020-01393-5CrossRefGoogle Scholar
Dykstra, J. R., Sabatos-devito, M. G., Irvin, D. W., Boyd, B. A., Hume, K. A., & Odom, S. L. (2012). Using the Language Environment Analysis (LENA) system in preschool classrooms with children with autism spectrum disorders. Autism, 17(5), 582–594. https://doi.org/10.1177/1362361312446206CrossRefGoogle ScholarPubMed
Ganek, H. V., & Eriks-Brophy, A. (2018a). Language ENvironment Ananlysis (LENA) system investigation of day long recordings in children: A literature review. Journal of Communication Disorders, 72, 77–85. https://doi.org/10.1016/j.jcomdis.2017.12.005CrossRefGoogle Scholar
Ganek, H. V., & Eriks-Brophy, A. (2018b). A Concise Protocol for the Validation of Language ENvironment Analysis (LENA) Conversational Turn Counts in Vietnamese. Communication Disorders Quarterly, 39(2), 371–380. https://doi.org/10.1177/1525740117705094CrossRefGoogle Scholar
Gilkerson, J., & Richards, J. A. (2008). The LENA Natural Language Study. Boulder: CO: LENA Research Foundation.Google Scholar
Gilkerson, J., Richards, J. A., Warren, S. F., Montgomery, J. K., Greenwood, C. R., Oller, D. K., Hansen, J. H. L., & Paul, T. D. (2017). Mapping the Early Language Environment Using All-Day Recordings and Automated Analysis. American Journal of Speech-Language Pathology, 26(May), 248–265. https://doi.org/10.1044/2016_AJSLP-15-0169CrossRefGoogle ScholarPubMed
Gilkerson, J., Zhang, Y., Xu, D., Richards, J. A., Xu, X., Jiang, F., Harnsberger, J., & Topping, K. (2015). Evaluating Language Environment Analysis System Performance for Chinese: A Pilot Study in Shanghai. Journal of Speech, Language, and Hearing Research, 58, 445–452. https://doi.org/10.1044/2015CrossRefGoogle ScholarPubMed
Greenwood, C. R., Schnitz, A. G., Irvin, D., Tsai, S. F., & Carta, J. J. (2018). Automated language environment analysis: A research synthesis. American Journal of Speech-Language Pathology, 27(2), 853–867. https://doi.org/10.1044/2017_AJSLP-17-0033CrossRefGoogle ScholarPubMed
Greenwood, C. R., Thiemann-Bourque, K., Walker, D., Buzhardt, J., & Gilkerson, J. (2011). Assessing children's home language environments using automatic speech recognition technology. Communication Disorders Quarterly, 32(2), 83–92. https://doi.org/10.1177/1525740110367826CrossRefGoogle Scholar
Hollingshead, A. A. (1975). Four-factor index of social status. Unpublished Manuscript, Yale University. New Haven, CT.Google Scholar
Huttenlocher, J., Haight, W., Bryk, A., Seltzer, M., & Lyons, T. (1991). Early Vocabulary Growth: Relation to Language Input and Gender. Developmental Psychology, 27(2), 236–248. https://doi.org/10.1037/0012-1649.27.2.236CrossRefGoogle Scholar
Jackson, C. W., & Callender, M. F. (2014). Environmental Considerations: Home and School Comparison of Spanish–English Speakers’ Vocalizations. Topics in Early Childhood Special Education, 34(3), 165–174. https://doi.org/10.1177/0271121414536623CrossRefGoogle Scholar
Jones, R. M., Skwerer, D. P., Pawar, R., Hamo, A., Carberry, C., Ajodan, E. L., Caulley, D., Silverman, M. R., McAdoo, S., Meyer, S., Yoder, A., Clements, M., Lord, C., & Tager-flusberg, H. (2019). How Effective is LENA in Detecting Speech Vocalizations and Language Produced by Children and Adolescents with ASD in Different Contexts? Autism Research, Advance on. https://doi.org/10.1002/aur.2071CrossRefGoogle ScholarPubMed
Losh, M., Childress, D., Lam, K., & Piven, J. (2008). Defining key features of the broad autism phenotype: a comparison across parents of multiple- and single-incidence autism families. American Journal of Medical Genetics. Part B, Neuropsychiatric Genetics: The Official Publication of the International Society of Psychiatric Genetics, 147 B(4), 424–433. https://doi.org/10.1002/ajmg.b.30612CrossRefGoogle Scholar
Marrus, N., Hall, L. P., Paterson, S. J., Elison, J. T., Wolff, J. J., Swanson, M. R., Parish-Morris, J., Eggebrecht, A. T., Pruett, J. R., Hazlett, H. C., Zwaigenbaum, L., Dager, S., Estes, A. M., Schultz, R. T., Botteron, K. N., Piven, J., Constantino, J. N. & for the IBIS Network (2018). Language delay aggregates in toddler siblings of children with autism spectrum disorder. Journal of Neurodevelopmental Disorders, 10(29), 1–16. https://doi.org/10.1186/s11689-018-9247-8CrossRefGoogle ScholarPubMed
Northrup, J. B., & Iverson, J. M. (2015). Vocal Coordination During Early Parent – Infant Interactions Predicts Language Outcome in Infant Siblings of Children with Autism Spectrum Disorder. Infancy, 20(July), 1–25. https://doi.org/10.1111/infa.12090CrossRefGoogle ScholarPubMed
Oller, D. K., Niyogi, P., Gray, S., Richards, J. A., Gilkerson, J., Xu, D., Yapanel, U., & Warren, S. F. (2010). Automated vocal analysis of naturalistic recordings from children with autism, language delay, and typical development. Proceedings of the National Academy of Sciences, 107(30), 13354–13359. https://doi.org/10.1073/pnas.1003882107CrossRefGoogle ScholarPubMed
Ozonoff, S., Young, G. S., Belding, A., Hill, M., Hill, A., Hutman, T., Johnson, S., Miller, M., Rogers, S. J., Schwichtenberg, A. J., Steinfeld, M., & Iosif, A. M. (2014). The Broader Autism Phenotype in Infancy: When Does It Emerge? Journal of the American Academy of Child & Adolescent Psychiatry, 53(4), 398–407. https://doi.org/10.1016/j.jaac.2013.12.020CrossRefGoogle ScholarPubMed
Pae, S., Yoon, H., Seol, A., Gilkerson, J., Richards, J. A., Ma, L., & Topping, K. (2016). Effects of feedback on parent-child language with infants and toddlers in Korea. First Language, 36(6), 549–569. https://doi.org/10.1177/0142723716649273CrossRefGoogle Scholar
Ratner, N. B. (2013). Why talk with children matters: Clinical implications of infant- and child-directed speech research. Seminars in Speech and Language, 34(4), 203–214. https://doi.org/10.1055/s-0033-1353449Google ScholarPubMed
Rowe, M. L. (2012). A longitudinal investigation of the role of quantity and quality of child-directed speech vocabulary development. Child Development, 83(5), 1762–1774. https://doi.org/10.1111/j.1467-8624.2012.01805.xCrossRefGoogle ScholarPubMed
Sacks, C., Shay, S., Repplinger, L., Leffel, K. R., Sapolich, S. G., Suskind, E., Tannenbaum, S., & Suskind, D. (2014). Pilot testing of a parent-directed intervention (Project ASPIRE) for underserved children who are deaf or hard of hearing. Child Language Teaching and Therapy, 30(1), 91–102. https://doi.org/10.1177/0265659013494873CrossRefGoogle Scholar
Schwarz, I., Botros, N., Lord, A., Marcusson, A., Tidelius, H., & Marklund, E. (2017). The LENA system applied to Swedish: Reliability of the Adult Word Count estimate. Interspeech, 2088–2092.CrossRefGoogle Scholar
Szatmari, P., Chawarska, K., Dawson, G., Georgiades, S., Landa, R., Lord, C., Messinger, D. S., Thurm, A., & Halladay, A. (2016). Prospective Longitudinal Studies of Infant Siblings of Children With Autism: Lessons Learned and Future Directions. Journal of the American Academy of Child & Adolescent Psychiatry, 55(3), 179–187. https://doi.org/10.1016/j.jaac.2015.12.014CrossRefGoogle ScholarPubMed
Taylor, R. (1990). Interpretation of the Correlation Coefficient: A Basic Review. Journal of Diagnostic Medical Sonography, 6, 35–39.CrossRefGoogle Scholar
VanDam, M., & Silbert, N. H. (2016). Fidelity of automatic speech processing for adult and child talker classifications. PLoS ONE, 11(8), 1–13. https://doi.org/10.1371/journal.pone.0160588CrossRefGoogle ScholarPubMed
Wang, Y., Williams, R., Dilley, L., & Houston, D. M. (2020). A meta-analysis of the predictability of LENA™ automated measures for child language development. Developmental Review, 57(May), 100921. https://doi.org/10.1016/j.dr.2020.100921CrossRefGoogle ScholarPubMed
Wang, Y., Hartman, M., Aziz, N. A. A., Arora, S., Shi, L., & Tunison, E. (2017). A Systematic Review of the Use of LENA Technology. American Annals of the Deaf, 162(3), 295–311. https://doi.org/10.1353/aad.2017.0028CrossRefGoogle ScholarPubMed
Warlaumont, A. S., Richards, J. A., Gilkerson, J., & Oller, D. K. (2014). A Social Feedback Loop for Speech Development and Its Reduction in Autism. Psychological Science, 25(7), 1314–1324. https://doi.org/10.1177/0956797614531023CrossRefGoogle ScholarPubMed
Warren, S. F., Gilkerson, J., Richards, J. A., Oller, D. K., Xu, D., Yapanel, U., & Gray, S. (2010). What automated vocal analysis reveals about the vocal production and language learning environment of young children with autism. Journal of Autism and Developmental Disorders, 40(5), 555–569. https://doi.org/10.1007/s10803-009-0902-5CrossRefGoogle ScholarPubMed
Weisleder, A., & Fernald, A. (2013). Talking to Children Matters: Early Language Experience Strengthens Processing and Builds Vocabulary. Psychological Science, 24(11), 2143–2152. https://doi.org/10.1177/0956797613488145CrossRefGoogle ScholarPubMed
Xu, D., Yapanel, U., & Gray, S. (2009). Reliability of the LENA Language Environment Analysis System in Young Children's Natural Home Environment. Boulder: CO: LENA Research Foundation.Google Scholar
Xu, D., Yapanel, U., Gray, S., & Baer, C. T. (2008). The LENA Language Environment Analysis System: The interpreted Time Segments (ITS) File. (LENA technical report LTR-04-2). Boulder, CO.Google Scholar
Yoder, P. J., Oller, D. K., Richards, J. A., Gray, S., & Gilkerson, J. (2013). Stability and validity of an automated measure of vocal development from day-long samples in children with and without autism spectrum disorder. Autism Research, 6(2), 103–107. https://doi.org/10.1002/aur.1271CrossRefGoogle ScholarPubMed
Zimmerman, F. J., Gilkerson, J., Richards, J. A., Christakis, D. A., Xu, D., Gray, S., & Yapanel, U. (2009). Teaching by Listening: The Importance of Adult-Child Conversations to Language Development. Pediatrics, 124(1), 342–349. https://doi.org/10.1542/peds.2008-2267CrossRefGoogle ScholarPubMed