Great quote by Cronbach, Gleser & Nanda (1972):
"The tidy theory of error laid down for psychology at the start of the century by Spearman and Brown has always seemed just a little too tidy to describe the perverse behavior of real data." 😅
Ein „save the date“ Poster mit dem Schriftzug „stoppt Kürzungen in der Psychotherapie“, Demozug in Marburg am 28.03.2026 um 15 Uhr am Erwin Piscator Haus.
Am Samstag in Marburg 👏🏼
Congrats! 🎉
Maybe one's own discipline and background matter for the subjective impression.
A lot of money seems to come from areas other than the social sciences, so there are likely many more published papers in those areas.
Not sure how they counted the articles. I assumed that if the journal has a different name (i.e., subfield-specific outlet), there should be a separate count.
great resource, thanks!
Conclusion of the paper:
"Instead of making scholarly publishing sustainable and accessible for all, high APCs and transformative agreements aim to preserve the status quo, where academic publishing is a highly profitable business for a few corporations."
This is mainly due to the large number of published articles:
"Scientific Reports published 73,206 articles and Nature Communications 16,122 articles between 2015 and 2018"
I always had the vague feeling that Scientific Reports and Nature Communications are mainly APC business models.
A paper estimated the total APC for gold/hybrid Open Access per journal 2015–2018: doi.org/10.1162/qss_...
Surprise, surprise - there are 2 outliers at the top😐
💭 Come work with me, Mark Hoogendoorn, and Dimitris Rizopoulos! We are offering a 3 year PostDoc to do research on the intersection of machine learning (ML) and statistics. 🔢 💫 You will be part of the Stress in Action consortium: stress-in-action.nl/science-of-s...
Vacancy: lnkd.in/ewN5T6AA
Diagram showing four phases of methodological research (Theory, Exploration, Systematic Comparison, Evidence Synthesis) with an arrow indicating that preregistration usefulness increases from early to late phases. Each phase lists its aim, elements, outcome, and an example from factor retention research.
Does it make sense to preregister simulation studies?
This question has sparked a lot of debate.
▶️We* work through the why, when, and how
▶️We discuss different phases of methodological research to clarify where preregistration might (or might not) add value
📝 Preprint: doi.org/10.31234/osf...
Thanks!
Yes, it's a classic paper experimental researchers should know about.
I was surprised that ANOVA of proportions has still been used relatively often in the literature on the truth effect.
Finally published in Memory & Cognition:
Multinomial models of the repetition-based truth effect: Investigating the role of prior knowledge
link.springer.com/article/10.3...
Great, thanks for the detailed and constructive feedback and suggestions! You are right that the current framing might not highlight the core issue of aggregation clearly enough.
The paper is currently submitted, but we will consider PCI: Psych in the future, thanks for the hint.
Thanks for this remark, we will mention in a revision that the field has already been changing. That's good to see!
Agreed!👍
However, it took me a while to understand that all main effects in the probit GLMM are simply effects on the response bias c, whereas all interactions with the factor indicating noise/signal of the stimuli can be interpreted as (main or interaction) effects on the discriminability d'.
Link to preprint: osf.io/preprints/ps...
New preprint by @semihaktepe.bsky.social 🎉
We compare ANOVA/SDT/GLMM for binary judgments in 20 datasets of the truth effect. #lme4
Main conclusion:
"GLMMs are a theoretically sound and practically robust method and thus superior for analyzing binary judgments in social and cognitive psychology.”
Thanks!
Interesting postdoc position on modeling psychological resilience at the DKFZ Hector Cancer Institute, Mannheim:
jobs.dkfz.de/en/jobs/1682...
--> dynamic/latent-variable models, Bayesian hierarchical models, causal inference, time-series analysis, cognitive modelling
The latest version of Sigmund, the #AI #research assistant, is able to fully control the #OpenSesame interface. This allows you to build #psychology experiments entirely through conversation. This is no AI slop, but real functionality with real benefits! Tutorial 👉 osdoc.cogsci.nl/4.1/tutorial...
Still think this was one of the best power moves of all time
www.sciencedirect.com/science/arti...
The method worked better than simple aggregation for validation words such as "fifty-fifty chance", "never" or "always" (indicated in the plot by the black intervals compared to the gray interval areas).
New paper by @matzekloft.bsky.social in Psychometrika🎉
We developed a model for aggregating response intervals which are obtained if a participant judges that the word "most" covers the range [86% - 97%].
The model aggregates such intervals while considering people's proficiency & item difficulty.
Halloween in our lab 🎃
Beware of divergent transitions!
There still seems to be a lot of confusion about significance testing in psych. No, p-values *don’t* become useless at large N. This flawed point also used to be framed as "too much power". But power isn't the problem – it's 1) unbalanced error rates and 2) the (lack of a) SESOI. 1/ >
Simulation studies have a conflict of interest problem. The same team:
- develops a new method
- designs a simulation study to evaluate it
However, the new method has to show good performance to get published.
We propose living synthetic benchmarks to address the issue (doi.org/10.48550/arX...).
Welcome to @lauragroot.bsky.social as a new member in the Psychological Methods Lab at @unimarburg.bsky.social! 🎉
Laura just started as a PhD student and will work on Bayesian statistics and multinomial processing tree (MPT) modeling.
We built the openESM database:
▶️60 openly available experience sampling datasets (16K+ participants, 740K+ obs.) in one place
▶️Harmonized (meta-)data, fully open-source software
▶️Filter & search all data, simply download via R/Python
Find out more:
🌐 openesmdata.org
📝 doi.org/10.31234/osf...
