Doctoral Dissertations
2024
Maike Arnold (2024)
“A Matter of Time: Temporal Aspects of Recovery from Work”
Julius Fenn (2024)
“Advancement of Cognitive-Affective Maps – A Novel Tool for Uncovering Ethical Issues in Climate Engineering Technologies”
Viola Merhof (2024)
“Improving the Measurement and Understanding of Response Process Heterogeneity by IRTree Modeling”
Lukas Schumacher (2024)
“Unraveling the Dynamics in Cognition with Cognitive Process Models”
2023
Kilian Hasselhorn (2023)
“The Effects of Design Choices in Ambulatory Assessment Studies on Participant Burden, Data Quantity, and Data Quality”
Luisa Horsten (2023)
“Manoeuvering through the jangle jungle. What is the common core of aversive personality traits (not)?”
Theresa Koch (2023)
“Healthy body – healthy mind? Health behavior and well-being in work life”
Constantin Meyer-Grant (2023)
“Evaluating different models of recognition memory in the context of simultaneous detection and identification”
Tobias Rebholz (2023)
“Advanced Statistical Modeling of Ecological Constraints in Information Sampling and Utilization”
Marcel Schreiner (2023)
“Binding Processes in Episodic Memory: Measurement, Structure, and Moderators”
Annika Stump (2023)
“Affective and Cognitive Mechanisms Underlying the Perception of Truth and Subjective Confidence”
Monika Wiegelmann (2023)
“It's been a hard day's night! Reciprocal relations between sleep and work”
2022
Gloria Grommisch (2022)
“Emotion Regulation in Daily Life: Modeling Individual Differences in Emotion Regulation Repertoire and Flexibility”
Marie Hunsmann (2022)
“From Animal Foraging to Human Cognition: A Lévy Flight Model of Decision-making”
David Izydorczyk (2022)
“Improving and Extending Models of Quantitative Judgments”
Maren Mayer (2022)
“Expertise-Weighin of Judgments in Wisdom of Crowds: Investigating Independent Jugdments and Sequential Collaboration”
Nikoletta Symeonidou (2022)
“Emotional Source Memory: (When) Are Emotional Sources Remembered Better?”
2021
Susanne Frick (2021)
“Item response theory for the analysis and construction of multidimensional forced-choice tests”
Raphael Hartmann (2021)
„Facilitating the use of and extending the RT-MPT model class“
Stefan Radev (2021)
“Deep learning architectures for amortized Bayesian inference in cognitive modeling”
Fabiola Reiber (2021)
“Enhancing the applicability of randomized response techniques”
Michael von Krause (2021)
„Using the diffusion model to study individual differences”
Anne Voormann (2021)
„Evaluating processes involved in recognition decisions using different model comparison techniques“
2020