Structural Equation Modeling (SEM) is a multivariate statistical analysis technique that is used to analyze structural relationships. This technique is the combination of factor analysis and multiple regression analysis, and it is used to analyze the structural relationship between measured variables and latent constructs. This method is preferred by the researcher because it estimates the multiple and interrelated dependence in a single analysis. In this analysis, two types of variables are used endogenous variables and exogenous variables. Endogenous variables are equivalent to dependent variables and are equal to the independent variable.

The basic steps SEM works in are:

Defining individual constructs
Developing the overall measurement model
Design the study to produce the empirical results
Assessing the measurement model validity
Specifying the structural model
Examine the structural model validity

We have extensive experience in the area of SEM Analysis. In the past, we had the opportunity to build Structural Equation Models for a variety of applications, including loyalty tracking studies, market structure models, customer satisfaction, psychology, education and many more.

Structural Equation Modelling is a powerful multivariate analysis technique that includes specialized version of a number of other analysis methods as special cases. Being a sophisticated theoretical tool, Structural Equation Modelling is definitely not easy to implement.

Our expert Statistical Consultants are offering you the best services during all stages of your Structural Equation Modelling project requirements.

Our consultants have expertise with virtually every statistical software package for Structural Equation Modelling including MPLUS, LISREL, AMOS, EQS, R Stata and SAS.