The Statistical Properties of the Survivor Interaction Contrast

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The Survivor Interaction Contrast (SIC) is a powerful tool for assessing the architecture and stopping rule of a model of mental processes (Townsend and Nozawa, 1995). Despite its demonstrated utility, the methodology has lacked a method for statistical testing until now. We will briefly describe the SIC then develop some basic statistical properties of the measure. These developments lead to a statistical test for rejecting certain classes of models based on the SIC. We verify these tests using simulated data, then demonstrate their use on data from a simple cognitive task.


Presented at the 43rd Annual Meeting of the Society for Mathematical Psychology, Portland, OR.