A combination of confirmation bias, hindsight bias, and pressure to publish may prompt the (unconscious) exploration of various methodological options and reporting only the ones that lead to a (statistically) significant outcome. This undisclosed …
Like performance-enhancing drugs inflating apparent athletic achievements, several common social science practices contribute to the production of illusory results. In this article, we examine the processes that lead to illusory findings and describe …
In this commentary on Simmons, Nelson, and Simonsohn (this issue), we examine their rationale for pre-registration within the broader perspective of what good science is. We agree that there is potential benefit in a system of pre-registration if …
This course will examine current controversies and new developments in research methods in psychology. The goal of the course is to learn to think critically about how psychological science is conducted and how conclusions are drawn. We will cover …
The Open Lab platform empowers researchers to collect rich datasets by combining lab.js tasks with Open Lab's own study-building logic and participant-management system: lab.js provides the interactive tasks and surveys, while Open Lab adds the study …
The UNESCO Recommendations for Open Science define it as an inclusive framework that integrates movements and practices aimed at making multilingual scientific knowledge openly accessible, reusable, and collaborative for the benefit of science and …
This book starts from the premise that there is a lot we can all do to increase the benefits of research.
Let’s consider the main limitations of research that is not carried out and shared in an open, transparent, and reproducible way:
If papers …
This is an introductory guide for those working and considering working in the area of open research. It was drafted by members of the Open Research Competencies Coalition. There are many resources available on the topic of open research either aimed …
This is an archived version of a blog post on preregistration. The first half of the post argues that there is not a strong justification for preregistration as a tool to solve problems with statistical inference (p-hacking); the second half argues …