Meta-research at the Psychological Science Accelerator
Summary of unconference session at Tilburg Meta-research day 2019.
Science [ sahy-uhns ] (noun):
the act of trying to figure out what the world is really like
Written by Peder M. Isager
Summary of unconference session at Tilburg Meta-research day 2019.
How to calculate an equivalence test, and power for an equivalence test, for a fixed effect in a mixed effects model using R and PANGEA.
(written in collaboration with Nicholas A. Coles) The Psychological Science Accelerator (PSA) is a global network of psychological laboratories that organizes large-scale empirical research projects. The organization aims “to accelerate the accumulation of reliable and generalizable evidence in psychological science” (Moshontz et al. 2018). To succeed in this mission, the PSA has created several committees that work together to address important challenges in producing high quality research, such as having access to an inferentially meaningful sample size, reducing the reliance on WEIRD participants, and improving the methodological quality of designs and analyses.
A summary of the pros and cons of multiple candidate statistics.
The Open Science movement is here to stay. However, incorporating open practices like data sharing into your work flow can seem like a challenging task. If you have never made data available online before, the process can feel a bit daunting. Where should I put the data? What should I put up? What do I need to consider before I do it? In this post I will take you through a practical example of how to share data using the Open Science Frameword (OSF) platform.