Dearing Eric, Casey Beth, Davis-Kean Pamela E, Eason Sarah, Gunderson Elizabeth, Levine Susan C, Laski Elida V, Libertus Melissa, Lu Linxi, Lombardi Caitlin McPherran, Nelson Ariadne, Ramani Geetha, Susperreguy María Inés
Applied Developmental Psychology, Lynch School of Education and Human Development, Boston College, Chestnut Hill, MA 02467, USA.
Counseling, Developmental, and Educational Psychology Department, Boston College, Chestnut Hill, MA 02467, USA.
Educ Sci (Basel). 2022 May;12(5). doi: 10.3390/educsci12050312. Epub 2022 Apr 29.
Using data from 12 studies, we meta-analyze correlations between parent number talk during interactions with their young children (mean sample age ranging from 22 to 79 months) and two aspects of family socioeconomics, parent education, and family income. Potential variations in correlation sizes as a function of study characteristics were explored. Statistically significant positive correlations were found between the amount of number talk in parent-child interactions and both parent education and family income (i.e., r = 0.12 for education and 0.14 for income). Exploratory moderator analyses provided some preliminary evidence that child age, as well as the average level of and variability in socioeconomic status, may moderate effect sizes. The implications of these findings are discussed with special attention to interpreting the practical importance of the effect sizes in light of family strengths and debate surrounding "word gaps".
利用12项研究的数据,我们对父母在与幼儿互动(平均样本年龄从22个月至79个月)时的数字交谈与家庭社会经济状况、父母教育程度和家庭收入这两个方面之间的相关性进行了荟萃分析。探讨了相关性大小随研究特征变化的潜在差异。研究发现,亲子互动中数字交谈的量与父母教育程度和家庭收入之间均存在显著的正相关(即教育程度的相关系数r = 0.12,收入的相关系数r = 0.14)。探索性调节分析提供了一些初步证据,表明儿童年龄以及社会经济地位的平均水平和变异性可能会调节效应量。我们讨论了这些发现的意义,并特别关注根据家庭优势以及围绕“词汇差距”的争论来解释效应量的实际重要性。