Successful science needs deviant ideas that may challenge established norms. The last decade saw an unprecedented science-engineering project, with strict rules on preregistration, statistical testing, result-independent guaranteed publication, …
A study with low statistical power has a reduced chance of detecting a true effect, but it is less well appreciated that low power also reduces the likelihood that a statistically significant result reflects a true effect. Here, we show that the …
Widespread sharing of data and materials (including displays and text- and video-based descriptions of experimental procedures) will improve the reproducibility of psychological science and accelerate the pace of discovery. In this article, we …
The Pandemic of COVID-19, an infectious disease caused by SARS-CoV-2 motivated the scientific community to work together in order to gather, organize, process and distribute data on the novel biomedical hazard. Here, we analyzed how the scientific …
Both within and outside of sociology, there are conversations about methods to reduce error and improve research quality—one such method is preregistration and its counterpart, registered reports. Preregistration is the process of detailing research …
In recent years, open science practices have become increasingly popular in psychology and related sciences. These practices aim to increase rigour and transparency in science as a potential response to the challenges posed by the replication crisis. …
To address widespread perceptions of a reproducibility crisis in the social sciences, a growing number of scholars recommend the systematic preregistration of empirical studies. The purpose of this article is to contribute to an epistemological …
The preregistration of a study’s hypotheses, methods, and data-analyses steps is becoming a popular psychological research practice. To date, most of the discussion on study preregistration has focused on the preregistration of studies that include …
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 …