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

Play Video Analyse Page Model Builder Canvas Model Results Scroller Report Page Env and Model Syntax Report Model Fit Indices Report Page Model Parameter Estimates

Project Activity

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