Lightnews — Scholar-powered news

Reposted by Gidon Frischkorn

Richard D. Morey @richarddmorey.bsky.social · 13d

Simonsohn has now posted a blog response to our recent paper about the poor statistical properties of the P curve. @clintin.bsky.social and I are finishing up a less-technical paper that will serve as a response. But I wanted to address a meta-issue *around* this that may clarify some things. 1/x

Data Colada @datacolada.bsky.social · 14d

Would p-curve work if you dropped a piano on it?
datacolada.org/129

PIano being dropped on car in car testing facility

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Reposted by Gidon Frischkorn

Laura-Isabelle Klatt @lauraklatt.bsky.social · 23d

3/3 My personal highlight of #ESCOP2025 was becoming this year‘s #WomWom research fairy! 🧚‍♂️ Thanks again to all my fellow #WomeninWorkingMemory. It means a lot ❤️

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Reposted by Gidon Frischkorn

Michael Hout @michaelhout.bsky.social · 27d

The next installment (October 8th) of our OPAM Training Workshop series will feature Dr Caro Hautekiet (of Vrije Universiteit), who will be discussing pre-registration and registered reports. Visit this page for info on all our (free!) workshops: www.opamconference.com/workshops-su...

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Reposted by Gidon Frischkorn

Ruhi Bhanap @ruhibhanap.bsky.social · 26d

It was an absolute pleasure and so much fun to teach this course at #ESCoP25! Huge thanks to my co-organizers, all the participants, and the ESCoP team for making it such a fantastic experience!

Isabel Courage @isabelcourage.bsky.social · 26d

A huge thanks to all participants, my fellow workshop co-organizers @gidon-frischkorn.bsky.social and @ruhibhanap.bsky.social, and #ESCOP2025 for hosting our workshop introducing cognitive measurement models with the #bmm R package (venpopov.github.io/bmm/) - it was such a rewarding experience!

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Gidon Frischkorn @gidon-frischkorn.bsky.social · 26d

Yes, this was a really great experience! Thanks for @cvonbastian.bsky.social and @vmloaiza1.bsky.social for asking us to do this as part of #ESCOP2025! And if you are interested in having a similar workshop for your PhD Programm or similar, feel free to reach out!

Isabel Courage @isabelcourage.bsky.social · 26d

A huge thanks to all participants, my fellow workshop co-organizers @gidon-frischkorn.bsky.social and @ruhibhanap.bsky.social, and #ESCOP2025 for hosting our workshop introducing cognitive measurement models with the #bmm R package (venpopov.github.io/bmm/) - it was such a rewarding experience!

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Reposted by Gidon Frischkorn

Claudia von Bastian @cvonbastian.bsky.social · Aug 28

With less than week until #ESCOP2025, we're super excited to kick-off our conference with something truly special - an Algorave! 🤩 (1/12 👀)

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Gidon Frischkorn @gidon-frischkorn.bsky.social · Aug 28

Hey #memory folks, check out this new preprint by @joschadutli.bsky.social , @koberauer.bsky.social, and @leabartsch.bsky.social showing that elaboration benefits are likely driven by aiding in establishing efficient retrieval cues.

PsyArXivBot @psyarxivbot.bsky.social · Aug 28

How does semantic elaboration affect retrieval from episodic memory?: https://osf.io/ktgsu

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Reposted by Gidon Frischkorn

Society for the Improvement of Psychological Science (SIPS) @improvingpsych.org · Aug 15

PsyArXiv is seeking new moderators to help combat an increase in AI submissions! If you've ever posted a preprint to PsyArXiv, please consider joining. Minimum commitment 1h/month, there's a training session this Monday @ 1pm ET. More info here: forms.gle/9LB1rEtxHAeZ... #PsychSciSky

Expression of Interest in Serving as a PsyArXiv Moderator

As you might have heard, PsyArXiv is having some issues with an increase in low-quality submissions, ranging from AI generated manuscripts to inflate citation metrics, incoherent or nonsensical docume...

forms.gle

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Reposted by Gidon Frischkorn

Journal of Cognition @jcgntn.bsky.social · Aug 8

New content: Rodriguez, A., Musfeld, P., & Bartsch, L. M. (2025). The Flexibility of Working Memory in Drawing on Episodic Long-Term Memory Representations in Serial Recall. Journal of Cognition, 8(1): 40, pp. 1–26. DOI: doi.org/10.5334/joc.... #psychscisky

The Flexibility of Working Memory in Drawing on Episodic Long-Term Memory Representations in Serial Recall | Journal of Cognition

doi.org

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Reposted by Gidon Frischkorn

Lea Bartsch @leabartsch.bsky.social · Aug 6

🚨 PostDoc Opening 🚨 The lab of Klaus Oberauer is looking for a new postdoc, starting end of this/beginning next year. Research focus is #cognition, #workingmemory, #methods and #computationalmodeling or anything in that direction. I cannot highlight ENOUGH how great it is to work in this lab 🥰🤓

Applications are invited for a
Postdoctoral Position (80%)
at the Cognitive Psychology Unit, Department of Psychology, University of Zurich. The ideal
start date would be January 1st, 2026 but could be somewhat earlier or later. The position is for
initially 3 years, with possible renewal for another 1.5 years.
The successful applicant will work with the head of the Cognitive Psychology Unit, Prof. Dr. Klaus
Oberauer, and the Cognitive Psychology team. The post involves research and teaching (one course
per semester).
Research at the Zurich Cognitive Psychology Unit focuses on capacity limits of cognition, in particular
working memory, long-term memory, and attention, which we investigate with experimental,
individual-differences and aging studies and computational modeling. For further information see:
https://www.psychology.uzh.ch/en/areas/nec/allgpsy.html
We offer:
- An attractive research environment with close collaboration within the team
- Excellent lab infrastructure
- Salary according to Cantonal regulations
We expect:
- a PhD in psychology or a related discipline
- experience with experimental research
- excellent method knowledge and skills
- very good command of English
- interest in pursuing an academic career in cognitive psychology
In addition, it would be desirable if you had:
- experience with publishing in international journals
- programming skills
- experience with mathematical / computational modeling
Please send applications including your CV and motivation letter
no later than September 10, 2025
electronically as a single PDF to: Michaela Oestmann, michaela.oestmann@psychologie.uzh.ch
For questions about the position please contact Klaus Oberauer, k.oberauer@psychologie.uzh.ch

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Gidon Frischkorn @gidon-frischkorn.bsky.social · Jul 29

Thanks for creating this! Would be great if you would add me 😇

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Gidon Frischkorn @gidon-frischkorn.bsky.social · Jul 26

We had some weird effects where the evidence for an interaction was ambiguous with dummy coded factors, but with the same data and sum-to-zero coded factors there was strong evidence for an interaction based on Bayes Factors.

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Gidon Frischkorn @gidon-frischkorn.bsky.social · Jul 26

Yes, the priors are typically set in the effect coefficients. Thus, dummy coding changes the prior predictive for different group means. As the reference group would only get the intercept prior, whereas an effect group would get intercept prior + effect prior.

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Gidon Frischkorn @gidon-frischkorn.bsky.social · Jul 26

For frequentist analysis the coding might be more of a convenience choice, depending on which coefficients are easier to interpret for you. But in Bayesian analyses the coding can make a big difference for the inference you draw. At least when using Bayesian Factors & prior predictive comparisons.

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Gidon Frischkorn @gidon-frischkorn.bsky.social · Jul 24

For details on the Memory Meausurement Model (M3) see this article: venpopov.github.io/bmm/articles...

And for all #decisionmaking researchers, you can easily use the model for any multinomial data assuming continuous activation strengths underlying the competitive selection among candidates

The Multinomial / Memory Measurement Model (M3)

venpopov.github.io

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Gidon Frischkorn @gidon-frischkorn.bsky.social · Jul 24

Super excited to share that Ven Popov & me published a new release of the #bmm R package: venpopov.github.io/bmm/

We have added the Memory Measurement Model for categorical #workingmemory tasks to the package!

Apart from that there are some minor fixes to already implemented models and functions.

Easy and Accessible Bayesian Measurement Models Using brms

Fit computational and measurement models using full Bayesian inference. The package provides a simple and accessible interface by translating complex domain-specific models into brms syntax, a powerfu...

venpopov.github.io

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Gidon Frischkorn @gidon-frischkorn.bsky.social · Jul 13

For anyone who ist familiar with R package structure I actually think it’s a very neat way to include a code book for your data and also adequately document any functions you might use.

If there’s is any questions with respect to the analysis feel free to reach out ☺️

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Gidon Frischkorn @gidon-frischkorn.bsky.social · Jul 13

Thank you so much for this positive feedback ❤️ And this is the first paper where I have used the R package structure to document and organize the code. I really enjoyed the features of roxygen documentation for datasets and analysis.

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Reposted by Gidon Frischkorn

Vanessa Loaiza @vmloaiza1.bsky.social · Jun 11

🚨 Calling all colleagues who work on #workingmemory and #aging 🚨 Do you have any unpublished data on age differences in WM? 👴 👵 🧠 🌨️ We're working on a BIG meta-analysis, and I'd love any and all data that are currently not "out there" for us to find! 🔬 🤓 Please repost for reach, thanks! 🔁 😁

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Reposted by Gidon Frischkorn

Mark A. Hanson @hansonmark.bsky.social · Jun 10

New from The Strain Team:
🎊 Springer Nature Discovers MDPI 🎊

Springer Nature has spawned a copycat journal series called "Discover" mimicking #MDPI journal titles and citation behaviours. We even made a browser game to prove it (see 🔗).

Gross! 😀 1/n

#ResearchIntegrity #SciPub #AcademicSky

Spinger Nature Discovers MDPI – The Strain on Scientific Publishing

Home page for the paper ‘The Strain on Scientific Publishing’ by Mark A Hanson, Dan Brockington, Paolo Crosetto and Pablo Gomez Barreiro

the-strain-on-scientific-publishing.github.io

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Reposted by Gidon Frischkorn

Ruhi Bhanap @ruhibhanap.bsky.social · Jun 7

🚨 New paper with Klaus Oberauer and Agnes Rosner exploring retrieval strategies in associative recognition using eye movements! #workingmemory #eyetracking

Out now in @cognitionjournal.bsky.social

Read more:
www.sciencedirect.com/science/arti...

Investigating retrieval strategies in an associative recognition test in working memory: Evidence from eye movements

The study examines the retrieval strategies that people engage in during associative recognition in working memory. To this end, we employ eye movemen…

www.sciencedirect.com

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Reposted by Gidon Frischkorn

Andreas Neubauer @aneubauer.bsky.social · May 10

📢Job ad
Postdoc position (full-time, 3 years) in the DFG project Reliability in Intensive Longitudinal Data in Aachen (topics: psychometrics, intensive longitudinal data / ambulatory assessment data)
www.rwth-aachen.de/go/id/kbag/f...
Application deadline is June 16

Research Assistant/Associate - Postdoc (f/m/d) - RWTH AACHEN UNIVERSITY - English

www.rwth-aachen.de

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Michael J. Kane @michaeljkane.bsky.social · May 29

I am delighted to report that SIDIC, the Symposium for Individual Differences in Cognition, will return in 2025 as a Psychonomics affiliate meeting, & Akira Miyake will deliver the Keynote address. Submissions will open 6/15-8/1; please consider joining us! Info: caliberlab.wixsite.com/sidic2025

Welcome | SIDIC 2025

caliberlab.wixsite.com

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Reposted by Gidon Frischkorn

Daniel Heck @danielheck.bsky.social · May 28

🚀Postdoc position @unimarburg.bsky.social in the project:

"Bridging the Gap Between Verbal Psychological Theories & Formal Statistical Modeling with Large Language Models"
(funded by @volkswagenstiftung.de)

📅Start: 01.10.2025 | ⏳4 years
🔗 Apply now: uni-marburg.de/jhbCen
🔄 Thanks for sharing!

Postdoc

uni-marburg.de

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Gidon Frischkorn @gidon-frischkorn.bsky.social · May 14

Bottom line: Various SEM can fit well yet tell different stories — highlighting the model-specification challenge. Best fix from my perspective? Refine indicators using theoretically grounded parameters from formal measurement models: doi.org/10.1016/j.in...

Redirecting

doi.org

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