Structural Equation Modelling (SEM) is a general approach to analyse multivariate data for theory or model testing. The SEM analysis includes the confirmatory factor analysis (CFA) phase and the structural model analysis phase.
This SEM analysis package is designed for clients who want to empirically test and improve their conceptual models with real data using IBM SPSS AMOS or SMART PLS. To request assistance, clients can book a consultation with one of our research statisticians and they will advise on the process to get the SEM analysis done.
The package includes:
- Thorough explanation of the data analysis process
- Descriptive analysis
- Normality test
- Confirmatory factor analysis (CFA)
- Reliability analysis (Cronbach’s Alpha, Composite reliability coefficients)
- Convergent validity (factor loadings and AVE)
- Discriminant validity analysis [Fornell and Larcker’s (1981) matrix and HTMT]
- Detailed explanations of the measures applied to improve the CFA model
- Structural model analysis
- Crystal clear interpretation of the Structural Equation Modelling results
- Clear and comprehensive report delivered within 15 working days maximum
- One (1) free consulting session on the data analysis report
Our experts in Structural Equation Modelling (SEM) also assist researchers with the following:
- Running Structural Equation Modelling with control Variables
- Running Structural Equation Modelling using a covariance-based approach
- Running Structural Equation Modelling using a component-based approach
- Importance Performance Map Analysis (IPMA)
- Common Method Bias
- Multigroup Analysis
- Mediation Analysis
- Reversed Mediation Analysis
- Moderation Analysis
- Moderation Slop Analysis
- Mediated Moderation Analysis
- Moderated Mediation Analysis
- Second Order Reflexive SEM Analysis
- Second Order Formative SEM Analysis
- Third Order Reflexive SEM Analysis
- Third Order Formative SEM Analysis
