Time to Talk: Variability in Caregiver‐Child Verbal Engagement During Everyday Activities Sampled From Daylong Recordings
Year: 2025
Type: article
Study design: Observational Study
Abstract: ABSTRACT Children learn language through interactions with others. To document variation in how caregivers engage verbally with their 2‐year‐old children, we sampled six 10‐min segments of dense child‐directed speech from naturalistic daylong audio recordings in an economically‐ and linguistically‐diverse sample of English‐ ( n = 45) and Spanish‐speaking ( n = 45) families. Segments of child‐directed speech occurred during child‐centered (e.g., booksharing, play) and adult‐centered (e.g., cooking) activities, with substantial variation among families. During all activity types, child‐directed speech was associated with one or more linguistic or interactive features that have been shown to facilitate language development, such as lexical diversity, mean length of utterance (MLU), or responsiveness to children. Moderate to strong stability within families was found, suggesting that caregivers in some families engaged with children more than in others, regardless of the activities in which they participated. Patterns were generally similar across language groups. This study extends previous research by using naturalistic daylong recordings to explore how activity type and caregivers' individual tendencies relate to children's early language experiences.
Source: Infancy
DOI: 10.1111/infa.70051
Institutions: San Jose State University, Stanford University
Language: English
Subfield: Developmental and Educational Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: green
Funders: David and Lucile Packard Foundation, Foundation for the National Institutes of Health, National Institutes of Health, National Institute on Deafness and Other Communication Disorders, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Stanford Maternal and Child Health Research Institute, Bezos Family Foundation
Awards: Predicting language processing efficiency in preterm children: Social-environmental and neuro-biological factors, G1539445000, Infant Speech Processing as Predictor of Language Disorder in English and Spanish, G4353296515, G6804570098, G7020958892, Early language processing skill and school-relevant outcomes in emerging bilingual students, Learning to Listen Ahead in English and Spanish
OpenAlex ID: W4416137593
