Assessment & Research

Using Language Environment Analysis System (LENA) in Natural Settings to Characterize Outcomes of Pivotal Response Treatment.

Ferguson et al. (2025) · Journal of autism and developmental disorders 2025
★ The Verdict

One full-day LENA recording gives a reliable vocal score that tracks expressive language in preschoolers with autism.

✓ Read this if BCBAs assessing or tracking language in preschoolers with autism
✗ Skip if Clinicians working mainly with school-age or teen clients

01Research in Context

01

What this study did

The team used one full-day LENA recording to check if it gives a stable vocal score for preschoolers.

Kids were both autistic and neurotypical. The study looked at how well the LENA score matched their real expressive language.

02

What they found

One day of LENA data gave a reliable vocal score that lined up with expressive language for both groups.

The link was strong enough to trust for quick, natural-setting checks.

03

How this fits with other research

Nadwodny et al. (2025) also found LENA reliable in younger autistic toddlers, so the tool looks solid across the preschool span.

Fossum et al. (2018) showed which preschoolers gain the most from PRT; the new LENA metric could track those gains cheaply.

Dudley et al. (2019) seems to clash—they say LENA counts are under 50% accurate in older autistic youth. The gap is age: the new study tested 3- to 5-year-olds, while the 2019 group tested 5- to 18-year-olds. LENA works better with little voices.

04

Why it matters

You can now run a single LENA day instead of long clinic tests to get a solid snapshot of a preschooler's expressive language. Use it to decide who needs PRT, to watch progress, or to show parents clear data without extra appointments.

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→ Action — try this Monday

Record a full-day LENA session this week and compare the automated vocal count to your last expressive-language probe.

02At a glance

Intervention
not applicable
Design
other
Population
autism spectrum disorder, neurotypical
Finding
positive

03Original abstract

Individual difference measures of vocal development may eventually aid our understanding of the variability in spoken language acquisition in children with autism spectrum disorder (ASD). Large samples of child vocalizations may be needed to maximize the stability of vocal development estimates. Day-long vocal samples can now be automatically analyzed based on acoustic characteristics of speech likeness identified in theoretically driven and empirically cross-validated quantitative models of typical vocal development. This report indicates that a single day-long recording can produce a stable estimate for a measure of vocal development that is highly related to expressive spoken language in a group of young children with ASD and in a group that is typically developing. Autism Res 2013, 6: 103-107. © 2013 International Society for Autism Research, Wiley Periodicals, Inc.

Journal of autism and developmental disorders, 2025 · doi:10.1002/aur.1271