具有多个未知结点的分段生长混合模型:在阅读发展中的应用。

IF 0.6 4区 心理学 Q4 PSYCHOLOGY, MATHEMATICAL
Yuan Liu, Hongyun Liu, Xin Zheng
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引用次数: 0

摘要

本研究利用幼儿纵向研究-幼儿园队列(ECLS-K)的公开数据,探讨了从幼儿园到高中阅读发展的潜在增长模式。我们将单个未知结的分段混合生长模型(PGMM)推广到多个未知结的情况。结果表明,具有多个结的PGMM可以用于研究阅读发展。学生的阅读发展在进入小学前快速增长,进入小学后发展缓慢。对于异质人群来说,转折点的出现是不同的。正常组结在2级(y =2.01),而快组在1级左右比正常组更早进入第二期(y = 0.87)。然而,两组学生在后来的学习阶段的能力水平相似。此外,教师应该特别关注慢速组,他们不仅生长速度比正常水平的孩子慢(y = 2.69),而且很难赶上正常水平的孩子。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Piecewise Growth Mixture Model with More than One Unknown Knot: An Application in Reading Development.

The present study explored the potential growth pattern of reading development from kindergarten to high school using the publicly available dataset from the Early Childhood Longitudinal Study-Kindergarten cohort (ECLS-K). We extended the piecewise growth mixture model (PGMM) with a single unknown knot into the situation with more than one knot. The results showed that the PGMM with more than one knot could be used to study reading development. Students' reading development had fast growth before entering elementary school, but development slowed after. The turning point appears differently for a heterogeneous population. For the normal group, the knot was at Grade 2 (y =2.01), while the faster group transferred into the second period much earlier than the normal group around Grade 1 (y = 0.87). However, both groups reached similar ability levels in later school years. Moreover, teachers should pay special attention to the slower group, which had not only slower growth (y = 2.69) than but also difficulty catching up with the normal-level children.

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来源期刊
CiteScore
1.40
自引率
11.10%
发文量
26
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