Numerical Validation of the AnalyVa SEM Estimation Engine: A Two-Study Benchmarking Program Against SmartPLS

New statistical software requires independent numerical validation before it can be trusted in peer-reviewed research. This paper benchmarks AnalyVa's CB-SEM and PLS-SEM engines against SmartPLS 4 across two model specifications: a CB-SEM model of socioeconomic status and alienation (Wheaton et al., 1977; N = 932, AMOS Example 6) and a ten-construct PLS-SEM model of occupational burnout (N = 592). AnalyVa demonstrated near-perfect agreement with SmartPLS 4 in both studies: standardized factor loading MAD ≤ .001, structural path MAD = .001. These results establish AnalyVa as a validated dual-framework SEM platform for social, behavioral, and organizational research, with a maximum absolute difference of .003 across parameters.