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NAVAL-SEM is a free, open-source, fully offline desktop application for Structural Equation Modeling (SEM), supporting both PLS-SEM and CB-SEM workflows. Designed for researchers, PhD scholars, professors, students, and analysts, it enables advanced quantitative research without subscriptions, cloud dependencies, or proprietary software restrictions.
Key features include visual drag-and-drop model building, bootstrapping, mediation analysis, HTMT, AVE, Composite Reliability (CR), Cronbach's Alpha, model fit assessment, and Multi-Group Analysis (MGA). NAVAL-SEM also supports export to R, Python, and Lavaan for reproducible research workflows.
Built for academic and professional research, NAVAL-SEM helps users conduct scale validation, measurement assessment, and structural modeling across disciplines including marketing, management, psychology, education, healthcare, and social sciences.
Available for Windows, macOS, and Linux.
Features
- PLS-SEM
- CB-SEM
- Structural Equation Modeling
- SmartPLS Alternative
- SEM Software
- HTMT
- Bootstrapping
- Mediation Analysis
- Research Software
- Offline Analytics
- Statistical Software
- Visual Modeling
- Average Variance Extracted (AVE)
- Composite Reliability (ρc)
- Cronbach's Alpha
- Fornell-Larcker Criterion
- Schema: ave, cr, alpha in FitIndices
- VIF for formative indicators
- Outer weight significance (bootstrap)
- f² effect size per structural path
- Indirect effects decomposition
- Schema: f2, indirect_effects
- POST /indirect endpoint
- Q² blindfolding (omission loop)
- PLSpredict (k-fold vs. LM)
- CVPAT cross-validated ability test
- CMB marker variable analysis
- Schema: q2, cvpat, cmb fields
- POST /predict endpoint
- HOC: repeated indicator approach
- HOC: two-stage approach
- MICOM measurement invariance
- Multi-Group Analysis (MGA)
- Schema: hoc_type, MGA output
- POST /mga endpoint
- Moderation — interaction term
- Simple slope analysis
- Moderated mediation index
- IPMA (importance-performance map)
- NCA — new nca.py
- POST /ipma, POST /nca
- Nonlinear effects (polynomial)
- FIMIX-PLS segmentation
- PLS-POS segmentation
- Gaussian Copula endogeneity
- Schema: robustness_checks block
- POST /robustness endpoint
- EFA (PCA + Varimax, KMO, Bartlett)
- CVI calculator (I-CVI, S-CVI, κ*)
- Nomological validity (R² benchmark)
- Measurement invariance (config→scalar)
- Schema: ScaleDevelopmentResult, CVIResult
- POST /efa, POST /cvi endpoints
- fsQCA truth table + calibration
- Necessity + sufficiency analysis
- Bubble chart + coincidence output
- APA report templates (markdown + docx)
- ModelResult schema freeze
- POST /fsqca, POST /report endpoints
Project Samples
