SRCLD Presentation Details
  Title  
       
    Listening in: Comparing Parent Language in LENA Recordings to Parent-Child Play-Based Interactions Across Populations  
Author(s)
Bailey Sone Charvat - Northwestern University
Alexandra Abowd - Northwestern University
Steven Schott - Northwestern University
Paula Ignaciuk - Northwestern University
Jeffrey Grauzer - Northwestern University
Lauren Hampton - Northwestern University
Megan Roberts - Northwestern University

SRCLD Info
SRCLD Year: 2018
Presentation Type: Special Session
Presentation Time: (na)
Abstract
Language ENvironment Analysis (LENA) technology is used to record young children’s language environments. Studies have shown that LENA has mixed reliability in measuring the parent language children are exposed to, particularly in children with developmental delays. The present study aims to investigate the relationship between LENA variables and transcribed and coded 10-minute parent-child play-based interaction samples. Matched dyads included children with autism spectrum disorder, hearing loss, developmental language disorder, and typical development. Correlation matrices revealed no significant relationship between LENA measures of adult language input and similar variables in the parent-child interaction samples. Exploratory analysis revealed a relationship between the LENA measure, child vocalization count, and the microcoded parent-child interaction measure, matched turns. Further analysis is warranted to determine the relationship between LENA variables and the measurement techniques commonly used to assess parent-child interactions. A comparison between the densest 10-minutes of LENA recording and the parent-child interaction sample may strengthen the understanding of this relationship.

This research was made possible through funding by the NIH (1R01DC014709, R03DC012639) and Institute for Educational Sciences (R324A150094, R324A090181).
Author Biosketch(es)