This is a commentary on Lee et al.’s (2019) article encouraging preregistration of model development, fitting, and evaluation. While we are in general agreement with Lee et al.’s characterization of the modeling process, we disagree on whether …
In this webinar, Tamarinde Haven provides an overview of the process of preregistration in qualitative research. We review the process of preregistration, how we partnered with a community of qualitative researchers to develop a template for …
Randomized controlled trials (RCTs) are designed to answer causal questions with internal validity. However, threats to internal validity exist for even well-designed RCTs. In this article, we focus on how preregistration can help address some …
Preregistration has been lauded as one of the solutions to the so-called ‘crisis of confidence’ in the social sciences and has therefore gained popularity in recent years. However, the current guidelines for preregistration have been developed …
Preregistration of research plans is becoming an increasingly popular and common tool to enhance the transparency of a study’s methodology. In a preregistration, researchers document their research plans and register them to a public repository prior …
A recent workshop focused on the idea that protocols for nonrandomized studies should be registered in advance of their conduct. In reviewing the workshop report and publications citing it, I note a number of unfounded assumptions and little …
What is Preregistration? When you preregister your research, you're simply specifying your research plan in advance of your study and submitting it to a registry. Preregistration separates hypothesis-generating (exploratory) from hypothesis-testing …
Study preregistration is one of several “open science” practices (e.g., open data, preprints) that researchers use to improve the transparency and rigour of their research. As more researchers adopt preregistration as a regular research practice, …
In last month’s column, I worried about whether encouraging us to preregister our hypotheses and analysis plan before running studies would stifle discovery. I came to the conclusion that it needn’t — but that we need to guard against letting the …
Questionable research practices (QRPs), such as p-hacking (i.e., the inappropriate manipulation of data analysis to find statistical significance) and post hoc hypothesizing, are threats to the replicability of research findings. One key solution to …