A Meta-Analysis of the Predictability of LENA™ Automated Measures for Child Language Development
Developmental Review
Wang, Y., Williams, R., et al. (2020).
Developmental Review, 57, 100921.
This meta-analysis investigates the ability of the Language Environment Analysis (LENA) to predict language development in toddlers, two years of age or younger, with and without disabilities (e.g., typically developing, preterm, autism spectrum disorder, hearing loss).
National Institute on Deafness and Other Communication Disorders
2008 to 2020
Quantitative design studies
17
Results indicated a medium significant association (r = 0.27) between the LENA's automated measures (i.e., adult word count, conversational turn count, child vocalization count) and child language. These findings supported that the LENA can predict the language development and skills across child development status, such as typically developing, preterm, autism spectrum disorder, hearing loss; however, findings suggested that the LENA's automated measures may have less predictive strength on long-term language outcomes.
