In this practical course, students will learn and apply quantitative research methods for data collection. By the end of the course, students will be familiar with the fundamental tools needed to independently design and conduct quantitative research projects. It is strongly recommended to attend the associated lecture, as theoretical concepts will not be revisited in detail during this hands-on session.
In this proseminar, students will learn how to develop scientifically relevant concepts, write literature reviews, and derive research questions and hypotheses based on communication science theories. The course focuses on different topics and methods each semester. Students will apply these theories to design empirical research, gaining insight into the research process. The seminar is taught in English and requires an interest in empirical research, team collaboration, and reading English-language articles.
This course introduces the fundamentals of statistical analysis in communication science, with a focus on practical exercises. Students will apply the knowledge from the associated lecture to real-world data analysis. It is strongly recommended to attend the lecture, as theoretical concepts will not be revisited in detail during the practical sessions.
This seminar focuses on data collection and analysis methods in the context of digital society research. Students will explore advanced text analytical techniques used in digital social sciences, going beyond traditional content analysis methods. They will learn to develop research questions, create and prepare text corpora, and apply computational social science (CSS) tools for content analysis. By the end of the course, students will be able to conduct independent analyses and deepen their understanding of digital social research.
In this course, students will learn how to formulate research questions and hypotheses, select appropriate study populations, and design quantitative research. Key topics include hypothesis testing, questionnaire design, statistical analysis (using SPSS), and interpreting results. Students will also gain practical experience by conducting a quantitative project in small groups. The course covers essential concepts like data operationalization, statistical tests (e.g., t-tests, ANOVA, regression), and the critical analysis of HR-relevant studies.
I supervise Bachelor's and Master's theses in the fields of Journalism, Communication, and Marketing. Students will receive guidance on developing research questions, designing studies, and applying appropriate methodologies for their topics. My supervision aims to foster independent research and provide support throughout the thesis process, from conceptualization to final presentation.