ReproducibiliTea Leiden: The Reproducibility Project: Psychology (journal club)
- Date
- Wednesday 12 April 2023
- Time
- Address
- online
- Room
- OSCL teams ReproducibiliTea channel
An interdisciplinary journal club meeting. We read and discuss papers about methodology and open science.
At ReproducibiliTea Leiden, we invite anyone interested in discussing papers that signify the reform academia is currently going through. Students and ECRs are especially welcome, and no prior knowledge or expertise is needed.
Join our meetings through the open science community Leiden (OSCL) Teams. Bring your own tea (or coffee), everyone is welcome, no prior knowledge or expertise required!
12 April: The Reproducibility Project: Psychology
How well does research replicate? How bad is the replication crisis? Today’s paper describes this question in psychological research. A large-scale, collaborative replication effort of 100 published psychological findings showed the majority of findings did not reproduce, and those that do replicate mostly produced a smaller effect-size. This project provided an initial estimate of the reproducibility in science and brought attention for the need of methodological reform. We will discuss the implications of this finding, and discuss how we can increase the robustness of our own research.
10 May: Getting started with open science
How does one start with incorporating open science practices? This session’s paper contains a very accessible guide for graduate students (and their advisors) on some of the different ways to engage with the reproducibility movement. These tips will also be very useful for other researchers ;). They are given difficulty ratings (easy, medium or difficult) and potential worries are addressed. We will then discuss what tips we can incorporate into our own research.
14 June: Preregistrations
What are preregistrations and why are they useful? This session’s article shows how preregistration can combat questionable research practices (QPRs) and analytical flexibility and provides recommendations on how preregistrations can be evaluated and interpreted. We will then discuss when preregistrations are useful and how to incorporate them into our own research.