STRUCTURAL EQUATION MODELING WITH GENERALIZED STRUCTURED COMPONENT ANALYSIS ON THE RELATIONSHIP BETWEEN RENUMERATION AND MOTIVATION ON EMPLOYEE PERFORMANCE AT UIN SUNAN KALIJAGA YOGYAKARTA

Epha Diana Supandi
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Abstract

Structural equation modeling (SEM) is a multivariate statistical analysis technique that is used to analyze the structural relationships between observed variables and latent constructs. SEM has several methods one of which is Generalized Structured Component Analysis (GSCA). An empirical application concerning the relationship between renumeration and work motivation on employee performance is presented to illustrate the usefulness of the GSCA method. Data were collected by a questionnaire distributed to lecturers and staffs at UIN Sunan Kalijaga Yogyakarta. The result showed that the remuneration variable had a significant and positive impact on work motivation. Also, the work motivation variable had a significant and positive effect on employee performance.
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基于广义结构成分分析的结构方程建模:日惹公司薪酬与激励对员工绩效的影响
结构方程建模(SEM)是一种多元统计分析技术,用于分析观测变量和潜在结构之间的结构关系。SEM有几种方法,其中一种是广义结构成分分析(GSCA)。为了说明GSCA方法的有效性,本文提出了一个关于员工薪酬和工作动机对员工绩效关系的实证应用。数据是通过向UIN日惹Sunan Kalijaga的讲师和工作人员分发的问卷收集的。结果表明,薪酬变量对工作动机有显著的正向影响。此外,工作动机变量对员工绩效有显著的正向影响。
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