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潜在类别分析以识别中国儿童在家学习中的家长参与方式。

Latent Class Analysis to Identify Parental Involvement Styles in Chinese Children's Learning at Home.

作者信息

Huang Xiaorui, Schumacker Randall E, Chen Bin-Bin, Chiu Ming-Ming

机构信息

Collaborative Innovation Center of Assessment toward Basic Education Quality, Beijing Normal University, Zhuhai 519087, China.

College of Education, The University of Alabama, Tuscaloosa, AL 35487-0231, USA.

出版信息

Behav Sci (Basel). 2022 Jul 15;12(7):237. doi: 10.3390/bs12070237.

Abstract

Parental involvement is one of the most important factors affecting students' academic learning. Different families seem to show similar parental involvement patterns. This study employed a representative sample of 12,575 seventh- and eighth-grade Chinese students' parents to explore the patterns of parental involvement. (2) Methods: Latent class analysis (LCA) was used to identify different parental involvement styles in children's studies at home. Discriminant analysis, MANOVA, post-hoc tests, and effect size were used to verify the LCA results. (3) Results: Four distinctive latent class groups were identified and named: supportive (20%), permissive (54%), restrictive (8%), and neglectful (18%). A discriminant analysis supported the LCA group classification results. The MANOVA results indicated statistically significant differences between the four latent classes using the set of predictor variables. The post-hoc test results and effect sizes showed that the predictor variables had substantial differences among the four latent class groups. Parental education and family income showed statistically significant links to these four parental involvement styles, which, in turn, were linked to students' academic achievement according to the MANOVA, effect sizes, and post-hoc test results. (4) Conclusions: Parental involvement styles in children's learning at home can be identified and categorized into four different latent class styles.

摘要

家长参与是影响学生学业学习的最重要因素之一。不同家庭似乎呈现出相似的家长参与模式。本研究采用了一个具有代表性的样本,包含12575名七年级和八年级中国学生的家长,以探究家长参与的模式。(2)方法:采用潜在类别分析(LCA)来识别在家中孩子学习方面不同的家长参与方式。使用判别分析、多变量方差分析(MANOVA)、事后检验和效应量来验证潜在类别分析的结果。(3)结果:识别并命名了四个不同的潜在类别组:支持型(20%)、放任型(54%)、限制型(8%)和忽视型(18%)。判别分析支持了潜在类别分析的分组结果。多变量方差分析结果表明,使用一组预测变量时,四个潜在类别之间存在统计学上的显著差异。事后检验结果和效应量表明,预测变量在四个潜在类别组之间存在实质性差异。根据多变量方差分析、效应量和事后检验结果,家长教育程度和家庭收入与这四种家长参与方式存在统计学上的显著关联,而这四种方式又与学生的学业成绩相关。(4)结论:可以识别在家中孩子学习方面的家长参与方式,并将其归类为四种不同的潜在类别方式。

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