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.

我们使用元分析方法评估社会经济地位 (SES) 与使用语言环境分析 (LENA) 系统测量的儿童经历之间的关联。我们的最终分析包括 22 个独立样本，代表来自 1583 名儿童的数据。控制 LENA TM测量、年龄和出版类型的模型显示r z的效应大小= .186，表明 SES 对儿童语言体验的影响很小。所测量的 LENA 指标类型成为一个重要的调节因子，表明成人字数的影响比儿童发声数的影响更大。这些结果为 SES 和儿童日常语言体验之间的关联强度提供了重要证据，这是通过以标准化方式自动分析的不显眼的记录来衡量的。