Uploaded October 2020 | Updated September 2026, 1 week ago
About the speaker
I am a personality psychologist by training and my work covers a broad range of topics, including the effects of birth order, age patterns in personality, and the correlates and determinants of subjective well-being. My methodological interests include causal inference on the basis of observational data and data analytic flexibility. I am an active advocate for increased research transparency and have frequently given talks on the topic.
I recently finished my doctoral degree as a fellow of the International Max Planck Research School on the Life Course and am now a lecturer (Akademische Assistentin) at the Department of Psychology, University of Leipzig.
Together with Anne Scheel, Malte Elson, and Ruben Arslan, I blog at The 100% CI. If you want to get in touch with me, I’m fairly active on Twitter.
To learn more, go to juliarohrer.com/.
About the talk
Data analysis requires researchers to make many decisions — and sometimes, they may not know which choices are most appropriate. In this talk, I will give an overview of ways to tackle researcher degrees of freedom in a transparent manner (such as robustness checks, multiverse and specification curve analyses), highlight their commonalities, and discuss some crucial concerns.
About RIOT Science Club
The RIOT Science Club gives talks/workshops on Reproducible, Interpretable, Open & Transparent Science.
Slides and/or recordings of all past and future RIOTS Clubs are stored on our Open Science Framework Page: osf.io/8y7h2/. You can also subscribe to our mailing list, to receive regular information on upcoming talks and workshops, any local events and vacancies for positions in open and reproducible research.
You can also find us on Twitter @riotscienceclub.
If you would like to give a talk or workshop for The RIOTS Club, please email riotscienceclub@kcl.ac.uk.
About the speaker
I am a personality psychologist by training and my work covers a broad range of topics, including the effects of birth order, age patterns in personality, and the correlates and determinants of subjective well-being. My methodological interests include causal inference on the basis of observational data and data analytic flexibility. I am an active advocate for increased research transparency and have frequently given talks on the topic.
I recently finished my doctoral degree as a fellow of the International Max Planck Research School on the Life Course and am now a lecturer (Akademische Assistentin) at the Department of Psychology, University of Leipzig.
Together with Anne Scheel, Malte Elson, and Ruben Arslan, I blog at The 100% CI. If you want to get in touch with me, I’m fairly active on Twitter.
To learn more, go to juliarohrer.com/.
About the talk
Data analysis requires researchers to make many decisions — and sometimes, they may not know which choices are most appropriate. In this talk, I will give an overview of ways to tackle researcher degrees of freedom in a transparent manner (such as robustness checks, multiverse and specification curve analyses), highlight their commonalities, and discuss some crucial concerns.
About RIOT Science Club
The RIOT Science Club gives talks/workshops on Reproducible, Interpretable, Open & Transparent Science.
Slides and/or recordings of all past and future RIOTS Clubs are stored on our Open Science Framework Page: osf.io/8y7h2/. You can also subscribe to our mailing list, to receive regular information on upcoming talks and workshops, any local events and vacancies for positions in open and reproducible research.
You can also find us on Twitter @riotscienceclub.
If you would like to give a talk or workshop for The RIOTS Club, please email riotscienceclub@kcl.ac.uk.
