With my collaborators, I am increasingly performing qualitative research. I find qualitative research projects a useful way to improve my understanding of behaviors that I want to explore with other methods in the future. For example, some years ago I performed qualitative interviews with researchers who believed their own research had no value whatsoever.

Note: This humorously intended sarcastic blog post directly mimics classifications of psychological disorders in the Diagnostic and Statistical Manual of the American Psychological Association, but Dogmatic Bayesianism is not in the DSM-5 as an actual psychological disorder - for now. Dogmatic Bayesianism Disorder Diagnostic Criteria

In a recent post on Bluesky, where Richard Morey reflects on a paper he published with Clintin Davis-Stober that points out concerns with the p-curve method (Morey & Davis-Stober, 2025), he writes: Also, I think people should stop using forensic meta-analytic techniques that have not been adequately vetted by experts in statistics.

We recently posted a preprint criticizing the idea of Type S and M errors (https://osf.io/2phzb_v1). From our abstract: “While these concepts have been proposed to be useful both when designing a study (prospective) and when evaluating results (retroactive), we argue that these statistics do not facilitate the proper design of studies, nor the meaningful interpretation of results.” In a recent blog post that is mainly on p-curve analysis, Gelman

Rene Bekkers, 4 September 2025[*]   A dashboard of transparency indicators signaling trustworthiness Our Research Transparency Check (Bekkers et al., 2025) rests on two pillars. The first pillar that we blogged about previously is the development of P apercheck , a collection of software applications that assess the transparency and methodological quality of research (DeBruine &

Researchers increasingly use the Open Science Framework (OSF) to share files, such as data and code underlying scientific publications, or presentations and materials for scientific workshops. The OSF is an amazing service that has contributed immensely to a changed research culture where psychologists share data, code, and materials. We are very grateful it exists.   But it is not always the most user-friendly.

Are meta-scientists ignoring philosophy of science (PoS)? Are they re-inventing the wheel? A recent panel at the Metascience conference engaged with this question, and the first sentence of the abstract states “Critics argue that metascience merely reinvents the wheel of other academic fields.” It’s a topic I have been thinking about for a while, so I will share my thoughts on this question.

code{white-space: pre-wrap;} span.smallcaps{font-variant: small-caps;} div.columns{display: flex; gap: min(4vw, 1.5em);} div.column{flex: auto; overflow-x: auto;} div.hanging-indent{margin-left: 1.5em; text-indent: -1.5em;} ul.task-list{list-style: none;} ul.task-list li input[type="checkbox"] { width: 0.8em; margin: 0 0.8em 0.2em -1em; vertical-align: middle; } pre > code.sourceCode { white-space: pre; position: relative; } pre >

When the scientific discipline started to emerge, Bacon (1620) remarked: “And it is nothing strange if a thing not held in honour does not prosper”. His idea was that we need to give honour to scientists who do good work, otherwise no one would want to become a scientist.

The Journal of Personality and Social Psychology is one of the main outlets for social and personality psychologists. It publishes around 110 empirical articles a year (and a small number of other types of articles) and is considered a prestigious outlet. It is also often criticized. That’s to be expected.

What is the goal of data collection? This is a simple question, and as researchers we collect data all the time. But the answer to this question is not straightforward. It depends on the question that you are asking of your data. There are different questions you can ask from your data, and therefore, you can have different goals when collecting data. Here, I want to focus on collecting data to test scientific theories.