Abstract
Using a meta-analytic approach, we evaluate the association between socioeconomic status (SES) and children's experiences measured with the Language Environment Analysis (LENA) system. Our final analysis included 22 independent samples, representing data from 1583 children. A model controlling for LENATM measures, age and publication type revealed an effect size of rz=.186, indicating a small effect of SES on children's language experiences. The type of LENA metric measured emerged as a significant moderator, indicating stronger effects for adult word counts than child vocalization counts. These results provide important evidence for the strength of association between SES and children's everyday language experiences as measured with an unobtrusive recording analyzed automatically in a standardized fashion.
| Original language | English |
|---|---|
| Pages (from-to) | 1037-1051 |
| Number of pages | 15 |
| Journal | Journal of Child Language |
| Volume | 49 |
| Issue number | 5 |
| DOIs | |
| State | Published - 25 Sep 2022 |
Bibliographical note
Publisher Copyright:Copyright © The Author(s), 2021. Published by Cambridge University Press.
Keywords
- LENA
- SES
- experiences
- input
- language environment
- meta-analysis
- production
ASJC Scopus subject areas
- Language and Linguistics
- Experimental and Cognitive Psychology
- Developmental and Educational Psychology
- Linguistics and Language
- General Psychology