Afregarde Research provide data analysis support for Structural Equation Modelling. Structural Equation Modelling (SEM) is an advanced form of quantitative data analysis that uses statistical models to test research hypothesis and to prove or quantify the nature of relationship between or among variables. Structural Equation Modelling (SEM) is important when dealing with the following data analysis situations:
- Large number of variables are involved in affecting the phenomenon under study such that the use of ordinary statistical means would not effectively capture this multiplicity.
- Complex relationships that cannot be effectively understood through bivariate statistical methods (methods that analyse the relationship between two variables or two sets of variables at a time) and require a multivariate approach (analysing more than two variables simultaneously).
- Structural Equation Modelling is also of importance in cases where a researcher is dealing with or suspects the effects of unobserved variables (latent variables) on the analysis outcome. SEM models take cognisance of and record the presents and strengths of latent variables that are otherwise unaccounted for when using ordinary statistical analysis techniques.
- SEM is naturally applicable when one’s study objectives, research questions or hypotheses involve the testing of theoretical models or the comparison of such models. In such situations, researchers are compelled by the nature of the study to use SEM for analysis data.
SEM is becoming commoner due to the continued evolution of SEM software packages such as SPSS Amos, LISREL and SAS. This evolution has resulted in more user-friendly systems that are more widely available than in the past. Our SEM services include:
- Designing models that meet the given hypotheses
- Testing models for goodness-of-fit
- Generating theories from tested models and testing hypotheses
- Providing detailed reports describing the model
Costs and time frames
For processes, costs and time frames associated with Structural Equation Modelling please send a request for quotation or an email to: firstname.lastname@example.org