Call for Collaborators for a large-scaled Replication Effort
09.10.2019, by Tina Keil in announcement
For 2 Projects on Cognitive Dissonance;
Data collection begin: September 2020
We are seeking additional collaborators to join a large-scaled replication effort of cognitive dissonance. The cognitive dissonance literature consists of several major paradigms. Our aim is to replicate one of these popular paradigms: the effect of induced compliance on attitude change after writing a counterattitudinal essay.
Currently, we seek collaborators for two data-collection projects. These could be combined or separate contributions.
- For the preparation of the replication project, we are pretesting student opinions about a range of topics. Your contribution could be to collect data (which would require a modest time investment) and/or to get more involved in the general procedure (e.g., topic selection). This project is important for setting up the cognitive dissonance replication project, but is also considered a separate project resulting in its own publication so that interested researchers can benefit from the data. We would appreciate that you inform us about your interest before November 1st, 2019. Data collection is planned for the coming winter. More information is available here: http://bit.ly/35kiHVU.
- For the large-scaled replication of cognitive dissonance, we are finishing a draft to submit as an RRR to Advances in Methods and Practices in Psychological Science. Several labs and collaborators have already committed to the project, but we are still welcoming people to contribute. You will find an OSF page here, https://osf.io/9xsmj; with a file to indicate your collaboration here, http://bit.ly/2D9tDsl. We aim to begin data collection in September 2020.
Do not hesitate to forward this email to anyone else that may be interested. We welcome anyone to get involved. If you have any questions about this project, please get in touch (firstname.lastname@example.org / email@example.com).
Willem Sleegers and David Vaidis