I provide advanced Structural Equation Modeling (SEM) and Confirmatory Factor Analysis (CFA) for academic research, PhD dissertations, and applied data analysis projects.
As a PhD-qualified statistical consultant, I support researchers and analysts in building rigorous structural models to test theoretical relationships between latent constructs. My work focuses on producing statistically defensible, interpretable, and publication-ready results using Mplus, R, and IBM SPSS.
Structural Equation Modeling is widely used in psychology, marketing, education, health sciences, and social science research to test measurement models and complex causal relationships.
I can assist with:
• Structural Equation Modeling (SEM)
• Confirmatory Factor Analysis (CFA)
• Measurement model validation
• Path analysis and structural models
• Model fit evaluation (CFI, TLI, RMSEA, SRMR)
• Reliability and construct validity assessment
• Mediation and indirect effect modeling
• Interpretation and reporting of SEM results
Typical deliverables include:
• Mplus syntax and SEM model outputs
• Reproducible R scripts (if required)
• Model fit tables and diagnostics
• Publication-ready tables for research papers
• Clear interpretation of SEM findings for reports or manuscripts
My work emphasizes methodological rigor, transparent modeling decisions, and reproducible statistical workflows suitable for peer-reviewed research and academic publications.
If you require reliable support for Structural Equation Modeling, CFA validation, or advanced quantitative research, I would be glad to assist with your project.