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Socioeconomic status correlates with measures of Language ENvironment Analysis (Lena) system

A meta-analysis

Bibliographic Data

ID19064693
AuthorsLeonardo Piot (0000-0001-9806-3648, Laboratoire de Sciences Cognitives et Psycholinguistique), Naomi Havron (0000-0001-6429-1546, Laboratoire de Sciences Cognitives et Psycholinguistique), Alejandrina Cristia (0000-0003-2979-4556, Laboratoire de Sciences Cognitives et Psycholinguistique)
Year2021
Publication date2021-05-06
Peer ReviewedYes
Open AccessNo
TypePREPRINT
PublisherCenter for Open Science (PUBLISHER)
DOI10.31219/osf.io/veacp
OpenAlexW4247930996
LanguageEN
Citations received1
References cited1

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 r_z= .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

Developmental psychology · Meta-analysis · Moderation · Socioeconomic status · Sociology · Demography · Language Development and Disorders · Language, Discourse, Communication Strategies · Medicine · Multilingual Education and Policy · Psychology · Social Psychology

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Unique citing works1
Citations per year0,5
Citation span2024 - 2024 (1)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 1

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