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We propose a framework to measure consistent behavioral tendencies using situational judgment tests (SJTs), multidimensional item response theory (MIRT), and structured synthetic personas, treating responses as observations of latent behavioral variables.\n  Across large-scale SJT and persona datasets, we find that persona-conditioned behaviors are stable across runs, latent trait scores predict external benchmarks (e.g., TruthfulQA, EmoBench), and MIRT reveals consistent latent structure. We validate these results through human annotation, benchmark evaluation, and internal consistency analyses.\n  We interpret these traits not as human personality, but as stable behavioral tendencies expressed across contexts. 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We validate these results through human annotation, benchmark evaluation, and internal consistency analyses.\n  We interpret these traits not as human personality, but as stable behavioral tendencies expressed across contexts. 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