使用元分析结构方程建模研究语言和读写能力之间关系的发展变化。
Using Meta-analytic Structural Equation Modeling to Study Developmental Change in Relations Between Language and Literacy.
机构信息
The University of Texas at Austin.
Florida State University.
出版信息
Child Dev. 2018 Nov;89(6):1956-1969. doi: 10.1111/cdev.13049. Epub 2018 Feb 27.
Abstract
The purpose of this review was to introduce readers of Child Development to the meta-analytic structural equation modeling (MASEM) technique. Provided are a background to the MASEM approach, a discussion of its utility in the study of child development, and an application of this technique in the study of reading comprehension (RC) development. MASEM uses a two-stage approach: first, it provides a composite correlation matrix across included variables, and second, it fits hypothesized a priori models. The provided MASEM application used a large sample (N = 1,205,581) of students (ages 3.5-46.225) from 155 studies to investigate the factor structure and relations among components of RC. The practical implications of using this technique to study development are discussed.
摘要
本次综述旨在向《儿童发展》的读者介绍元分析结构方程建模（MASEM）技术。文中提供了 MASEM 方法的背景，讨论了它在儿童发展研究中的效用，并应用该技术研究阅读理解（RC）发展。MASEM 使用两阶段方法：首先，它提供了包含变量的综合相关矩阵，其次，它拟合假设的先验模型。提供的 MASEM 应用使用了来自 155 项研究的 1205581 名学生（年龄 3.5-46.225）的大样本，以调查 RC 成分的因子结构和关系。讨论了使用该技术研究发展的实际意义。
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