Structural Equation Modelling Using AMOS SPSS

Statistical research relies to a considerable extent on the relationship between variables, which are part of the analysis. The variables can be observed or latent and the relationship can vary according to the models used to structure data. Statistics Consultation makes it possible to apply Structural Equation Modelling (SEM) for establishing such relationship. This tool is applicable both for exploratory and confirmatory analysis. The applications used by SEM for testing and estimating causal relationships include the following:

  • Regression models
  • Multilevel models
  • Mixture models
  • Interactive models
  • Latent growth curve
  • Dynamic models
  • Path analysis
  • Multiple indicators models


SEM provides the benefit of allowing a large number of variables and greater reliability of the observed scores. AMOS or Analysis of Moment Structures is software which is widely used for SEM. It is an add-on module by SPSS. Though AMOS has an SPSS interface, it also accepts other formats for taking data. It has a user friendly toolbox and is highly accurate. Amos allows scholars to use two different modes of model specification. While AMOS Graphics allows the user to work directly from a path diagram, Amos Basic can be used to work from equation statements.

When our team uses AMOS, they make fullest use of the drawing tools available. The program is designed keeping the SEM rules in mind, and our statisticians use it with utmost accuracy. They develop the models and find out the causal relationship to prove the hypothesis within a short time frame. The cost of our service for Structured Equation Modelling using AMOS is $1200. The PhD statisticians are aware of the latest version of AMOS and use them for analysis. Consult our team for an accurate SEM using Amos. After all, it would not be fair if you lose marks because of some technical fault, or miss out on a step in the complete analysis, despite doing everything else right.


Research Methodology Consultation
Data Analysis,Chapter 4
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Review of Data Analysis


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