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  • Title: ➤  Parameters Of Decision Making. A Comparison Of Signal-Detection Theory And Diffusion Decision Model Using A Recognition Memory Paradigm
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The Signal-Detection Theory (Green, D.M. & Luce, R.D., 1966) and Diffusion Decision Model (Ratcliff, 1978; Ratcliff & McKoon, 2008) are two mathematical frameworks describing perceptual decision making processes with two choice alternatives. Both models include parameters which are interpreted as decision sensitivity, respectively response criterion. The decision sensitivity parameters describe the capability to form a decision, for example to differentiate between two stimuli categories. Response criteria indicate a response bias which is independent of the competence to form a decision. While the Signal-Detection Theory (SDT) utilizes normalized hit- and false-alarm rates to calculate its parameters, the Diffusion Decision Model (DDM) bases its calculations on response time distributions of erroneous and correct trials. Even though both models have extensive applications in overlapping research fields, an empirical comparison is missing to this day. This lack of comparison is very unfortunate since it prevents the integration of studies which utilized one of the given models. Additionally, since both models’ parameters’ interpretations are the same, an empirical comparison could either strengthen or question the parameters’ common apprehensions. In this series of studies, a word recoginition memory paradigm will be used to assess the models' relation. Two experimental manipulations will be used to specificly target a set of parameters each. In experiment 1, the stimulus difficulty will be varied in order to manipulate DDM's drift rate and SDT's d'. Half of the study words will be presented twice to facilitate the memory. Experiment 2 targets the decision critera c (SDT) and z (DDM) using different ratio of old to new words in the test phase.

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