PLS路径模型在教育系统中的应用:一种衡量学习成绩分数的模型

W. J. H. Brigido, José Fábio de Oliveira, Paulo Evelton Lemos De Sousa, J. C. F. Souza
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引用次数: 0

摘要

采用偏最小二乘法(PLS)进行路径建模。提出了潜在变量,如人员、机构(管理、入学人数、实验室质量、房间等)、研究激励和学术表现评分(APS)。本文选择了巴西大学的可用指标,对它们进行了测试和适当验证,以及这些项目及其所代表的变量的可靠性。结果表明,该模型很好地解释了学术表现分数(APS), R2为70.6%,其中机构对模型的贡献最大,约为35.4%。其次,研究激励贡献了29.2%。此外,本文中产生的假设,除了一个,都充分支持该模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Using PLS Path Modelling in Education System: A Model to Measure the Academic Performance Score
Partial Least Square (PLS) was used the path modelling. Latent variables such as staff, institution (administration, number of enrolments, quality of laboratories, rooms, etc.), incentive applied for research and Academic Performance Score (APS) were proposed. The indicators available on Brazilian universities were chosen for this article, they were tested and duly validated, as well as the reliability of these items and the variables represented by them. The result was the model explains satisfactorily well the Academic Performance Score (APS) with a R2 of 70.6%, with the Institution contributing the most to the model, for approximately 35.4%. Next, the incentive to research contributes 29.2%. In addition, the hypotheses generated in this article, except one, adequately support the model.
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