基于方法响应的单元分割偏最小二乘模型偏最小二乘路径建模

U. Mukhaiyar, Karina Ayudhia Sasmito, Muh. Qodri Alfairus
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引用次数: 0

摘要

教育是影响一个国家发展的重要因素,是人的基本需求。为了保证教育的持续进步,有必要关注印尼教育的成果和成就。在本研究模型中,使用偏最小二乘路径模型(PLS PM)来解释印尼省级教育成果、成就与质量维度之间的关系。然而,由于人口单元存在异质性,因此采用基于响应的单元分割偏最小二乘(REBUS PLS)算法来克服所谓的异质性。结果表明,结构模型中有20个影响指标,其影响路径为学生活动对参与、教育设施和基础设施对教育成果和成就、学生活动对教育成果和成就、参与对教育成果和成就的影响路径。REBUS PLS成功地检测了异质性,并产生了两个片段,其中局部模型上的R2值大于全局模型上的R2值,GoF大类别中的GoF值。
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Metode Response Based Unit Segmentation Partial Least Square pada Model Partial Least Square Path Modeling
Education is an important factor that can affect the development of a country and is a basic human need. To ensure the continuous progress of education, it is necessary to pay attention to the results and achievements of education in Indonesia. In this research model, Partial Least Square Path Modeling (PLS PM) is used to explain the relationship between education outcomes and achievements and the quality dimensions of provincial education in Indonesia. However, because there is heterogeneity in the population unit, the Response Based Unit Segmentation Partial Least Square (REBUS PLS) algorithm is used to overcome the alleged heterogeneity. The results showed that there were 20 influential indicators in the structural model, with the influential paths being student activities to participation, educational facilities and infrastructure to educational outcomes and achievements, student activities to educational outcomes and achievements, and participation to educational outcomes and achievements. REBUS PLS successfully detects heterogeneity and produces two segments, with the value of R2 on the local model greater than the value of R2 on the global model and the GoF value in the GoF large category.
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审稿时长
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