| Termin/e |
Mi, 19.02.2020, 16:15 - 18:00 Uhr, 3.B47
Mi, 26.02.2020, 16:15 - 18:00 Uhr, 3.B47
Mi, 04.03.2020, 16:15 - 18:00 Uhr, 3.B47
Mi, 11.03.2020, 16:15 - 18:00 Uhr, 3.B47
Mi, 18.03.2020, 16:15 - 18:00 Uhr, 3.B47
Mi, 25.03.2020, 16:15 - 18:00 Uhr, 3.B47
Mi, 01.04.2020, 16:15 - 18:00 Uhr, 3.B47
Mi, 08.04.2020, 16:15 - 18:00 Uhr, 3.B47
Mi, 22.04.2020, 16:15 - 18:00 Uhr, 3.B47
Mi, 29.04.2020, 16:15 - 18:00 Uhr, 3.B47
Mi, 06.05.2020, 16:15 - 18:00 Uhr, 3.B47
Mi, 13.05.2020, 16:15 - 18:00 Uhr, 3.B47
Mi, 20.05.2020, 16:15 - 18:00 Uhr, 3.B47
Mi, 27.05.2020, 16:15 - 18:00 Uhr, 3.B47 |
| Inhalt |
Most students are keen on developing an empirical project for their Bachelor and Master theses. However, even when they possess sufficient knowledge in methodology and statistics, they usually lack the practical side of the empirical work and may easily get frustrated at wasting time for small practical details. At the same time, evidence shows that often the results from published scientific papers cannot be replicated, and this is very concerning for the social sciences. A replication seminar is an applied seminar in which students—guided and supported by the instructor—actively reproduce real scientific results. The idea is to learn while helping science: students learn to conduct empirical analyses by replicating figures and regression tables from real papers published on international peer-reviewed scientific journals. The seminar is designed to fill the gap between classic methods seminars and the thesis work, and no prior statistical and programming skills are required. The instructor will circulate a list of replicable papers in the field of political behavior and political communication. However, students are encouraged to propose and chose alternative papers, especially if that might be of interest to their thesis work. Students will receive some of the most useful skills and tips for doing applied empirical analysis, including introductions/refreshers in regression analysis, elements of research design, a gentle introduction to R for data analysis, writing skills, and presentation skills. Thus, while training the students to tackle their future research tasks, this seminar will also bolster their ability to understand empirical research, including the ‘behind-the-scenes.’ Students wishing to receive credits must study the weekly readings, submit their replication scripts, as well as a final replication report of about six pages. Motivated students are encouraged to write a replication seminar paper and to submit it to the https://projects.iq.harvard.edu/psreplication/about-psri, in order to gain an official DOI identifier for their work. |