Modeling individual differences
The assessment of individual differences in psychological traits or response biases and their determinants naturally relates to hierarchical modeling approaches, because responses to a series of items or trials are nested in persons. We propose projects aiming at the development of innovative IRT models that „decontaminate“ trait assessments from distortions caused by both response styles and method effects. Moreover, new hierarchical MPT models are proposed that conceive response biases in various judgment tasks as cognitive traits. In the model application projects, already existing models will be used to determine the dimensional structure of cognitive speed, to validate a mixture model of information integration in human judgments, and to assess the life-span development of controlled and automatic processes underlying evaluative conditioning.
Possible model development projects
IRT models for unravelling trait assessment from response styles and method effects (Advisors: Meiser, Lischetzke, Hilbig).
Exemplar-based and rule-based processes in judgment (Advisors: Bröder, Hilbig).
Possible model application projects
The structure of cognitive speed (Advisors: Voss, Meiser).
Memory-task response biases as cognitive traits and states (Advisors: Kuhlmann, Hütter, Meiser).
A life-span perspective on controllable and uncontrollable learning in evaluative conditioning (Advisors: Hütter, Klauer, Kuhlmann).
Modeling individual differences in judgment and decision making (Advisors: Hilbig, Erdfelder, Meiser).