基于 LISREL 和 AMOS 的协方差结构方程建模与基于 PLS SEM 的偏最小二乘法结构方程建模的模型拟合指数研究。

Umi Narimawati, Jonathan Sarwono
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引用次数: 0

摘要

本研究的目的是回顾使用LSIREL、AMOS和Smart PLS的基于协方差和偏最小二乘的结构方程建模的拟合优度(GOF),使用的方法是系统的二手数据搜索和元分析。在本文的研究中,作者发现在同一参数名称中使用的各个参数的用法有一些相似之处和不同之处;因此,这些软件的用户必须能够在他们的研究中分别区分每个软件中有关参数的每种用法。关键词:拟合优度,SEM, LISREL, AMOS, SmartPLS
本文章由计算机程序翻译,如有差异,请以英文原文为准。
KAJIAN TENTANG INDEKS KECOCOKAN MODEL DALAM PEMODELAN PERSAMAAN STRUKTURAL BERBASIS KOVARIAN D ALAM LISREL DAN AMOS SERTA BERBASIS PARTIAL LEAST SQUARE DALAM PLS SEM
The objective of this study is to review the goodness of fit (GOF) of Covariance and Partial Least Square Based Structural Equation Modeling using LSIREL, AMOS and Smart PLS. A method used is systematic secondary data search and meta - analysis. In this study, the present writer finds that there are some similarities and dissimilarities of the usage of each parameter used within the same parameter name; accordingly, users of those software must be able to distinguish each use of the parameter concerned in each software respectively in their researches Key Words : goodness of fit, SEM, LISREL, AMOS, SmartPLS      
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