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A meta-analysis of the predictability of LENA™ automated measures for child language development.

ABSTRACT: Early language environment plays a critical role in child language development. The Language ENvironment Analysis (LENA™) system allows researchers and clinicians to collect daylong recordings and obtain automated measures to characterize a child's language environment. This meta-analysis evaluates the predictability of LENA's automated measures for language skills in young children. We systematically searched reports for associations between LENA's automated measures, specifically, adult word count (AWC), conversational turn count (CTC), and child vocalization count (CVC), and language skills in children younger than 48 months. Using robust variance estimation, we calculated weighted mean effect sizes and conducted moderator analyses exploring the factors that might affect this relationship. The results revealed an overall medium effect size for the correlation between LENA's automated measures and language skills. This relationship was largely consistent regardless of child developmental status, publication status, language assessment modality and method, or the age at which the LENA recording was taken; however, the effect was weakly moderated by the gap between LENA recordings and language measures taken. Among the three measures, there were medium associations between CTC and CVC and language, whereas there was a small-to-medium association between AWC and language. These findings extend beyond validation work conducted by the LENA Research Foundation and suggest certain predictive strength of LENA's automated measures for child language. We discussed possible mechanisms underlying the observed associations, as well as the theoretical, methodological, and clinical implications of these findings.

SUBMITTER: Wang Y

PROVIDER: S-EPMC7337141 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature

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A meta-analysis of the predictability of LENA™ automated measures for child language development.

Wang Yuanyuan Y Williams Rondeline R Dilley Laura L Houston Derek M DM

Developmental review : DR 20200611

Early language environment plays a critical role in child language development. The Language ENvironment Analysis (LENA™) system allows researchers and clinicians to collect daylong recordings and obtain automated measures to characterize a child's language environment. This meta-analysis evaluates the predictability of LENA's automated measures for language skills in young children. We systematically searched reports for associations between LENA's automated measures, specifically, adult word c ...[more]

PMID: 32632339

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Project description:ImportanceTraining parents to implement strategies to support child language development is crucial to support long-term outcomes, given that as many as 2 of 5 children younger than 5 years have difficulty learning language.ObjectiveTo examine the association between parent training and language and communication outcomes in young children.Data sourcesSearches of ERIC, Academic Search Complete, PsycINFO, and PsycARTICLES were conducted on August 11, 2014; August 18, 2016; January 23, 2018; and October 30, 2018.Study selectionStudies included in this review and meta-analysis were randomized or nonrandomized clinical trials that evaluated a language intervention that included parent training with children with a mean age of less than 6 years. Studies were excluded if the parent was not the primary implementer of the intervention, the study included fewer than 10 participants, or the study did not report outcomes related to language or communication.Data extraction and synthesisPreferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines were applied to a total of 31 778 articles identified for screening, with the full text of 723 articles reviewed and 76 total studies ultimately included.Main outcomes and measuresMain outcomes included language and communication skills in children with primary or secondary language impairment and children at risk for language impairment.ResultsThis meta-analysis included 59 randomized clinical trials and 17 nonrandomized clinical trials including 5848 total participants (36.4 female [20.8%]; mean [SD] age, 3.5 [3.9] years). The intervention approach in 63 studies was a naturalistic teaching approach, and 16 studies used a primarily dialogic reading approach. There was a significant moderate association between parent training and child communication, engagement, and language outcomes (mean [SE] Hedges g, -0.33 [0.06]; P < .001). The association between parent training and parent use of language support strategies was large (mean [SE] Hedges g, 0.55 [0.11], P < .001). Children with developmental language disorder had the largest social communication outcomes (mean [SE] Hedges g, 0.37 [0.17]); large and significant associations were observed for receptive (mean [SE] Hedges g, 0.92 [0.30]) and expressive language (mean [SE] Hedges g, 0.83 [0.20]). Children at risk for language impairments had moderate effect sizes across receptive language (mean [SE] Hedges g, 0.28 [0.15]) and engagement outcomes (mean [SE] Hedges g, 0.36 [0.17]).Conclusions and relevanceThe findings suggest that training parents to implement language and communication intervention techniques is associated with improved outcomes for children and increased parent use of support strategies. These findings may have direct implications on intervention and prevention.

Dataset Information

A meta-analysis of the predictability of LENA™ automated measures for child language development.

Publications

A meta-analysis of the predictability of LENA™ automated measures for child language development.

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