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• W2056534257 abstract "Aims to commend SEM (structural equation modeling) that excels beyond multiple regression, which is a popular statistical technique to test the relationships of independent and dependent variables, in expanding the explanatory ability and statistical efficiency for parsimonious model testing with a single comprehensive method. SEM is employed to find the real “best fitting” model. This article also presents an incremental approach to SEM, which is a procedural design and sounds workable for testing simple models and presents an example to test a parsimonious model of MBA knowledge and skills transfer using SEM and multiple regression. The results indicate that only one significant relationship can be justified by multiple regression. SEM, on the other hand, has helped to develop new relationships based on the modification indexes, which are also theoretically accepted. Finally, three relationships are shown to be significant and the “best fitting” structural model has been established." @default.
• W2056534257 created "2016-06-24" @default.
• W2056534257 creator A5079619989 @default.
• W2056534257 date "2001-09-01" @default.
• W2056534257 modified "2023-10-16" @default.
• W2056534257 title "SEM being more effective than multiple regression in parsimonious model testing for management development research" @default.
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• W2056534257 doi "https://doi.org/10.1108/02621710110400564" @default.
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