Universität Wien

400022 SE Transparent and reproducible social science research (2020W)

SE Methods for Doctoral Candidates

5.00 ECTS (2.00 SWS), SPL 40 - Doktoratsstudium Sozialwissenschaften
Continuous assessment of course work
Moodle

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

max. 15 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

Due to the current Covid-19 situation, teaching will take place online via Moodle

  • Monday 14.12. 09:00 - 13:00 Digital
  • Tuesday 15.12. 09:00 - 13:00 Digital
  • Wednesday 16.12. 09:00 - 13:00 Digital
  • Wednesday 16.12. 13:30 - 16:00 Digital
  • Thursday 17.12. 09:00 - 13:00 Digital
  • Friday 18.12. 09:00 - 13:00 Digital

Information

Aims, contents and method of the course

Instructor: Dr. Bert N. Bakker (www.bertbakker.com), assistant professor of political communication at the Amsterdam School of Communication Research and co-director of the Hot Politics Lab (www.hotpolitics.eu) at the University of Amsterdam, b.n.bakker@uva.nl

Outline: The course will introduce students to the problems in current research practices and the solutions the open science agenda offers. The course will be hands on and discussions driven by the questions students encounter in their sub-fields. The course will take place in 5 days and cover the following:

Day 1: Problems in current research practices
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.

Assessment and permitted materials

Minimum requirements and assessment criteria

An oral presentation of the pre-analysis plan (20%) and a 5 - 10 page pre-analysis plan (80%)

Examination topics

Reading list

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.

Association in the course directory

Last modified: Fr 12.05.2023 00:26