Structural relationships in statistics are studied for the most part using Structural Equation Modelling (SEM). Various models involving statistical and mathematical procedures which are both conventional and complex are involved. SEM combines multiple analysis methods such as Multiple Regression Analysis and Factor Analysis, enabling functional measurement of hidden constructs. The model is evaluated by using the model fit indices including Chi Square statistic, Degrees of Freedom (DF), CMIN/DF, CFI and RMSEA
The benefits are:
SEM as a technique is predominantly dependent on AMOS (Analysis Of Moment Structures), which aids in devising devising models using easy to access software tools. We employ AMOS to execute SEM analysis in following steps
It is an absolute necessity to formulate hypotheses for the purposes of constructing measurement models and structural models. We provide assistance in developing these hypothesis theories based on constructs.
Since SEM software programs demand researchers to be specific in designing models that fit the data. We assist you in recording the data using AMOS after configuring evaluation of constructs which could be diligent.
We input the data in the SEM software which analyses it and contrives specific models to result in outcomes. Relationships between constructs are represented in graphical models with the aid of AMOS software.
We offer services in comparing existing models with competing models by commissioning tests. Here complex models are made simpler by engaging restrictions. This crucial step provides evidence to prove hypothesis.