Lab Talk (Nov. 27th, 2017): Mandy Hütter (U. Tübingen): Employing Multinomial Processing Tree Models in Experimental Research: An Illustration in the Domains of Attitude Acquisition and Moral Judgment          Multinomial Processing Tree (MPT) models constitute one of the most powerful experimental tools to dissociate psychological foundations of judgment and behavior. This talk will be devoted to explicating the preconditions and assumptions of MPT models and illustrate successful implementations of MPT models that advanced theory in various domains of psychology. In so doing I will focus on two social-cognitive domains. The first domain concerns automaticity in attitude acquisition. Specifically, I will present research that dissociates effects of uncontrollable learning from effects of controllable learning in an evaluative conditioning paradigm. The second domain concerns the separation of consequence-driven and norm-driven responses as well as general inaction tendencies in decisions in moral dilemma situations. By the use of these examples, I will illuminate how MPT models can be validated and used as measurement tools in social-cognitive research.