Achtung! Das Lehrangebot ist noch nicht vollständig und wird bis Semesterbeginn laufend ergänzt.
400022 SE Transparent and reproducible social science research (2020W)
SE Methods for Doctoral Candidates
Prüfungsimmanente Lehrveranstaltung
Labels
An/Abmeldung
Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").
- Anmeldung von Mo 02.11.2020 10:00 bis Mi 02.12.2020 10:00
- Abmeldung bis Di 08.12.2020 10:00
Details
max. 15 Teilnehmer*innen
Sprache: Englisch
Lehrende
Termine (iCal) - nächster Termin ist mit N markiert
Due to the current Covid-19 situation, teaching will take place online via Moodle
- Montag 14.12. 09:00 - 13:00 Digital
- Dienstag 15.12. 09:00 - 13:00 Digital
- Mittwoch 16.12. 09:00 - 13:00 Digital
- Mittwoch 16.12. 13:30 - 16:00 Digital
- Donnerstag 17.12. 09:00 - 13:00 Digital
- Freitag 18.12. 09:00 - 13:00 Digital
Information
Ziele, Inhalte und Methode der Lehrveranstaltung
Art der Leistungskontrolle und erlaubte Hilfsmittel
Mindestanforderungen und Beurteilungsmaßstab
An oral presentation of the pre-analysis plan (20%) and a 5 - 10 page pre-analysis plan (80%)
Prüfungsstoff
Literatur
Readings
The following book would be used:
- Christensen, G., Freese, J., & Miguel, E. (2019). Transparent and reproducible social science research: How to do open science. University of California Press.
And this is supplemented with a reading list, which includes articles such as:
- Dienlin, T., Johannes, N., Bowman, N. D., Masur, P. K., Engesser, S., Kümpel, A. S., ... & Huskey, R. (2020). An agenda for open science in communication. Journal of Communication
- Ioannidis, J. P. (2005). Why most published research findings are false. PLoS medicine, 2(8), e124.
- King, G. (1995). Replication, replication. PS: Political Science and Politics, 28(3), 444-452.
- Lewis Jr, N. A. (2020). Open communication science: A primer on why and some recommendations for How. Communication Methods and Measures, 14(2), 71-82.
- Matthes, J., Marquart, F., Naderer, B., Arendt, F., Schmuck, D., & Adam, K. (2015). Questionable research practices in experimental communication research: A systematic analysis from 1980 to 2013. Communication Methods and Measures, 9(4), 193-207.
The following book would be used:
- Christensen, G., Freese, J., & Miguel, E. (2019). Transparent and reproducible social science research: How to do open science. University of California Press.
And this is supplemented with a reading list, which includes articles such as:
- Dienlin, T., Johannes, N., Bowman, N. D., Masur, P. K., Engesser, S., Kümpel, A. S., ... & Huskey, R. (2020). An agenda for open science in communication. Journal of Communication
- Ioannidis, J. P. (2005). Why most published research findings are false. PLoS medicine, 2(8), e124.
- King, G. (1995). Replication, replication. PS: Political Science and Politics, 28(3), 444-452.
- Lewis Jr, N. A. (2020). Open communication science: A primer on why and some recommendations for How. Communication Methods and Measures, 14(2), 71-82.
- Matthes, J., Marquart, F., Naderer, B., Arendt, F., Schmuck, D., & Adam, K. (2015). Questionable research practices in experimental communication research: A systematic analysis from 1980 to 2013. Communication Methods and Measures, 9(4), 193-207.
Zuordnung im Vorlesungsverzeichnis
Letzte Änderung: Fr 12.05.2023 00:26
Including: Publication bias, p-hacking, hypothesizing after the results are known
Day 2: The open science agenda
Preregistration and pre-analysis plans
Power analyses
Day 3: Reproducible research and Replication
Open materials, open data and open and reproducible code
The importance of replication and actually doing replications
Day 4: Presentation of pre-analysis plans and individual feedback
Day 5: Advanced topics (qualitative research, sensitivity analyses, challenges to open science)The classes consist of lectures, small group work, discussions and computer-based lab work. Students are expected to have completed the readings before class. They should bring their own computer and have Gpower installed on their computer and ideally R as well as Rstudio. The software is free and will be used for the computer-based lab work.Students are encouraged to bring up particular issues regarding the open science agenda that they encounter in their particular sub-fields. By the end of the course students are familiar with the reasons to adopt an open science agenda, the various aspects of transparent and reproducible social science research and will be able to develop their own pre-analysis plan.