SEM being more effective than multiple regression in parsimonious model testing for management development research

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 parismonious model testing with a single comprehensive method. SEM is employed to find real "best fitting" model. This article also presents an incremental approach to SEM, swhich is a procedual design and sounds workable for testing simple models and presents an example to test a parismonious 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 indexs, which are also theoretically accepted. Finally, three relationships are shown to be significant and "best fitting" structural model has been established.