The Language ENvironment Analysis (LENA) System in Toddlers With Early Indicators of Autism: Test-Retest Reliability and Convergent Validity With Clinical Language Assessments.
LENA gives steady, modestly valid language data for autistic toddlers but loses accuracy after preschool.
01Research in Context
What this study did
The team asked parents of autistic toddlers to use the LENA recorder twice, two weeks apart.
They compared LENA’s automatic word and turn counts to standard language tests given by clinicians.
The goal was to see if the gadget gives steady numbers and if those numbers line up with real test scores.
What they found
LENA scores stayed almost the same between the two weeks, showing good test-retest reliability.
The automatic counts had small-to-moderate correlations with clinical language scores, enough to be useful as a quick screen.
How this fits with other research
Ferguson et al. (2025) got similar results in preschoolers: one full-day LENA recording tracked expressive language well, giving a conceptual replication.
Dudley et al. (2019) looks like a contradiction—school-age kids and teens with autism had under 50 % detection accuracy with LENA.
The gap is age, not error. Toddlers speak in short, clear bursts that the software catches; older kids mumble, overlap, or use slang, so the same tool loses accuracy.
Kim et al. (2014) built the OSEL, another naturalistic language measure for the same toddler age, showing the field wants quick, real-world metrics like LENA.
Why it matters
You can add a single LENA recording to your assessment kit for two- to four-year-olds when clinic time is tight.
If scores seem off in older clients, switch to manual counts or clinician tests instead of trusting the automatic numbers.
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02At a glance
03Original abstract
Clinical language assessments often influence the types of services that autistic children are eligible to receive. However, these assessments often take place outside of the child's natural language environment. In this study, we assess the potential of using naturalistic language processing technology, the Language ENvironment Analysis (LENA) system, in clinical research. Within a sample of caregivers and autistic toddlers aged 16-33 months (N = 100), the current study examined associations between all LENA-generated variables and two clinical assessments of language: the Vineland Adaptive Behavior Scales, Third Edition: Communication Domain and the MacArthur Bates Communicative Development Inventories: Vocabulary Checklist. We also evaluated LENA test-retest reliability in a subsample of participants (n = 81). Some LENA-generated variables-specifically, the Conversational Turn Count, Vocal Productivity, and Automated Vocalization Assessment-exhibited small-to-moderate significant positive correlations with clinical language assessment variables. Additionally, all LENA-generated variables demonstrated moderate-to-good test-retest reliability within a 2-week period. To our knowledge, this is the first study that examines the psychometric properties of all LENA-generated variables in a single large sample. Findings show promising evidence of LENA's utility as a source of naturalistic language data for research with autistic toddlers. Trial Registration: ClinicalTrials.gov identifier: NCT05114538 ("Improving the Part C Early Intervention Service Delivery System for Children with ASD").
Autism research : official journal of the International Society for Autism Research, 2025 · doi:10.1177/105381519902200205