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In this research, we modeled fault identification performance in a dynamic process control task using a multivariate Lens Model. This research demonstrates how multivariate Lens Model can be applied to capture dynamic aspects and policies of individuals when they are making judgments over multiple criteriain this case, multiple categories of faults. Results and modeling analysis to date indicate that such a model may be applicable to such decisions, and sensitive to differences in performance under certain conditions.