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Dissertation
A Multi-Perspective Investigation of the Innovation Process: Dynamics, Regulation, and Integration of Concepts
(2021)
This dissertation provides insight into how individuals and teams address the complex and dynamic nature of innovation processes. Focusing on affect and self-regulation, the dissertation investigates how and why regulation efforts of individuals and teams may be beneficial for both innovative activities (i.e., idea generation and implementation) and innovative strategies (i.e., exploration and exploitation). Further, it addresses the issue of conceptual variety in innovation research and examines to what extent ...
Dissertation
An Investigation of the Lie-Telling Personality Type Within Different Social Contexts
(2023)
The present work aimed to further develop and refine the nomological net of personality traits predicting deception within the specific context of romantic relationships, as well as within the academic context. The main findings are that the already established correlation between Honesty-Humility and general deceptive behavior also reliable emerged for relationship-based dishonesty and academic cheating; however, against general deception research, when examining the specific context of romantic relationships, the ...
Aufsatz
Access to the learning material enhances learning by means of generating questions: Comparing open- and closed-book conditions
(2020)
Generating questions referring to the learning material is a powerful learning strategy. The present study investigated potential mechanisms behind this effect. Students (N=231) read a text and then generated questions referring to the text in three conditions: (1) open-book (i.e., text accessible), (2) closed-book (i.e., text inaccessible), and (3) cued closed-book (i.e., text inaccessible but keywords provided). After one week, students’ knowledge gain was larger in the open-book and cued closed-book conditions ...
Dissertation
Promises and Pitfalls of Machine Learning Modeling in Psychological Research
(2024)
Algorithmen des maschinellen Lernens werden in der Psychologie und ihren Teildisziplinen immer beliebter. Sie werden häufig dafür angepriesen, dass sie mit der Multikollinearität von Prädiktorvariablen und komplexen Beziehungen zwischen Prädiktoren und Kriterien effizient umgehen können. Trotz ihrer Vorteile werden auch immer mehr kritische Stimmen laut, die auf die derzeitigen Grenzen von Vorhersagen durch maschinelles Lernen hinweisen und die Frage aufwerfen, ob die Algorithmen den Erwartungen gerecht werden. ...
Dissertation
Dynamics of Norms in Decision-Making
(2024-01)
So far, there is a lack of understanding how norms change. The aim of the present dissertation was twofold: (1) addressing differences between change processes of different types of norms and (2) focusing more particularly on how norms are internalized. To study norm dynamics, a multi-method approach was chosen, combining theory, social simulation, and experimental research. In the theoretical contribution, a psychologically grounded conceptual model of norm change and decision-making was presented. Based on a refined ...
Dissertation
Risk Communication during the COVID-19 Pandemic
(2024)
In this PhD project it was aimed to learn about the potential and the challenges of risk communication in systemic risks by conducting applied research during the COVID-19 pandemic. Risk communication plays a crucial role in mitigating these risks by addressing risk beliefs in the population and thereby stimulating behavior change. In the synapsis of this project, however, the prevalence of heterogenous prior risk beliefs in different groups of the population were identified as a major challenge for risk communication ...