SynthesisAmerican journal of speech-language pathology2018
Automated Language Environment Analysis: A Research Synthesis.
Synthesis in American journal of speech-language pathology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The use of Language ENvironment Analysis in autism research: A systematic review.Autism : the international journal of research and practice · 2025Pooled it
- Patterns of Mother, Father, and Child Code-Switching and Links With Child Language Development.Journal of speech, language, and hearing research : JSLHR · 2026Article
- Language environments of infants in the NICU improve after a brief parent education intervention.Journal of perinatology : official journal of the California Perinatal Association · 2026Article
- Automated Analysis of Naturalistic Recordings in Early Childhood: Applications, Challenges, and Opportunities.IEEE signal processing magazine · 2025Article
- Fostering Infant/Toddler Mental Health and Language in Underserved Family Child Care Settings.Children (Basel, Switzerland) · 2025Article
- Evaluating the accuracy of automated processing of child and adult language production in preschool classrooms.Frontiers in psychology · 2024Article
- Profiling the Longitudinal Development of Babbling in Infants with Cerebral Palsy: Validation of the Infant Monitor of Vocal Production (IMP) Using the Stark Assessment of Early Vocal Development-Revised (SAEVD-R).Diagnostics (Basel, Switzerland) · 2023Article
- Accuracy of the Language Environment Analyses (LENAJournal of child language · 2021Article
- Progress Toward a Multisectoral Community Intervention Approach to Prevention of the Word Gap.Behavior and social issues · 2021Article
- A meta-analysis of the predictability of LENA™ automated measures for child language development.Developmental review : DR · 2020Article
- Shaping linguistic input in parent-infant interactions: The influence of the Infant's temperament.Infancy : the official journal of the International Society on Infant StudiesArticle
- Measuring Social Communication in the Community: Novel Tools for Advancing Family Participation.The American journal of occupational therapy : official publication of the American Occupational Therapy AssociationArticle
- Investigating Children's Interactions in Preschool Classrooms: An Overview of Research Using Automated Sensing Technologies.Early childhood research quarterlyArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Purpose: The Language Environment Analysis (LENA®) represents a breakthrough in automatic speech detection because it makes one's language environment, what adults and children actually hear and say, efficiently measurable. The purpose of this article was to examine (a) current dimensions of LENA research, (b) LENA's sensitivity to differences in populations and language environments, and (c) what has been achieved in closing the Word Gap. Method: From electronic and human searches, 83 peer-reviewed articles using LENA were identified, and 53 met inclusionary criteria and were included in a systematic literature review. Each article reported results of 1 study. Results: Originally developed to make natural language research more efficient and feasible, systematic review identified a broad landscape of relevant LENA findings focused primarily on the environments and communications of young children but also older adults and teachers. LENA's automated speech indicators (adult input, adult-child interaction, and child production) and the audio environment were shown to meet high validity standards, including accuracy, sensitivity to individual differences, and differences in populations, settings, contexts within settings, speakers, and languages. Researchers' own analyses of LENA audio recordings have extended our knowledge of microlevel processes in adult-child interaction. To date, intervention research using LENA has consisted of small pilot experiments, primarily on the effects of brief parent education plus quantitative linguistic feedback to parents. Conclusion: Evidence showed that automated analysis has made a place in the repertoire of language research and practice. Implications, limitations, and future research are discussed.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.