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It involved the relation of covariance with SEM and the concept of theory fit.The article also compared and contrasted it with regression analysis and presented the advantages, uses, and types of SEM.

Structural equation model is a statistical modeling technique.The matrix is then compared with the covariance matrix of the data collected.In case matrices are consistent with each other, SEM presents the possible explanation for the relationship between different measures in the model specified. Thus it is necessary to meet but insufficient condition for the theory has to be valid.Soumya has completed her MBA in HR from National Institute of Technology (NIT), Kurukshetra and is Bachelor in Information Technology.She loves numbers, their patterns and the infinity nature possessed by them.SEM conducts confirmatory modeling rather than exploratory modeling.It tests the validity of the model rather than to find or create a suitable model.Confirmatory modeling here refers to theory testing.Thus SEM tests a model conceptually derived beforehand from a theory.When it comes to computers, she has interest in memory allocation and virtual memory.In her spare time she likes to read sun signs and personality traits.

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  1. Apr 19, 2017. The study creates a plausible structural equation model S. This study uses Abu Dhabi teacher's data drawn from the Teaching and. A case study on Baskent University English language teachers Doctoral thesis.

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  4. Structural equation modeling is a multivariate statistical analysis technique that is used. A confirmatory test of the measurement model is conducted using CFA.

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