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Henrik Singmann

@singmann.bsky.social

1K followers 1K following 190 posts

Associate Professor at UCL Experimental Psychology; math psych & cognitive psychology; statistical and cognitive modelling in R; German migrant worker in UK

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Henrik Singmann @singmann.bsky.social · Apr 27

Honey, we fixed Signal Detection Theory (SDT)! In this preprint, Constantin Meyer-Grant, David Kellen, Sam Harding, and I critically evaluate the (unequal-variance) Gaussian SDT model in recognition memory and pursue the Gumbel-min model as a principled alternative: doi.org/10.31234/osf...
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Extreme-Value Signal Detection Theory for RecognitionMemory: The Parametric Road Not Taken

Signal Detection Theory has long served as a cornerstone of psychological research, particularly in recognition memory. Yet its conventional application hinges almost exclusively on the Gaussian…

doi.org

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Reposted by Henrik Singmann

Michael Friendly @datavisfriendly.bsky.social · 12h

Great post by @andrew.heiss.phd on animating #rstats {dplyr} operations

www.andrewheiss.com/blog/2024/04...

Visualizing {dplyr}’s mutate(), summarize(), group_by(), and ungroup() with animations | Andrew Heiss

Visually explore how {dplyr}’s more complex core functions work together to wrangle data

www.andrewheiss.com

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Henrik Singmann @singmann.bsky.social · 23h

This is great thanks. It indeed matches the spirit very much.

Henrik Singmann @singmann.bsky.social · 1d

I remember reading a blog post somewhat recently on here arguing that for open science practices every effort counts. So we should not expect every paper to fulfil all open science criteria immediately but researcher should start by making their data open, then their code, etc. Anyone has a link?

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Reposted by Henrik Singmann

Brad Postle @bradpostle.bsky.social · 1d

doi.org/10.21428/8e6...

Principles for proper peer review

doi.org

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Reposted by Henrik Singmann

Hampton Gaddy @hggaddy.bsky.social · 2d

🚨 The Economist has been telling you for years that polygamy causes civil war by locking men out of marriage. A new article with @rebeccasear.bsky.social and @anthrolog.bsky.social explains that the demography of marriage markets doesn't actually work that way. 🧵

www.pnas.org/doi/10.1073/...

High rates of polygyny do not lock large proportions of men out of the marriage market | PNAS

There is a widespread belief, in both the scholarly literature and the popular press, that polygyny prevents large numbers of men from marrying by ...

www.pnas.org

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Henrik Singmann @singmann.bsky.social · 1d

I think these answer your questions. It is not that certain stimuli are missing, but just people do not exist with opinions in the top left or bottom right. At least not for the type of naturalistic stimuli we have used. (I am sure one can create terrible arguments for stuff you believe in though.)

Reposted by Henrik Singmann

Masud Husain @masudhusain.bsky.social · 4d

Still a bit stunned but delighted to receive this from @royalsociety.org

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Henrik Singmann @singmann.bsky.social · 4d

Very well deserved, I loved it. A beautiful combination of insightful patient stories that tell us a lot about personal identity.

Henrik Singmann @singmann.bsky.social · 6d

See the same pattern for our Experiments 2 and 3 here. In Experiment 3, we added additional topics (e.g., Separating church from state causes more harm than good.) and more thoroughly controlled argument quality in three levels (good, internally inconsistent, and authority-based).

Henrik Singmann @singmann.bsky.social · 6d

The pattern in the average data also holds for each of the arguments (each line/colour per panel is one specific argument). People who think a claim (e.g., "abortion should be legal") is false find the corresponding argument is bad; people who think the claim is true think the argument is good.

Fig. 4 from the paper showing argument quality ratings as a function of belief consistency for each argument in Experiment 1. The overall pattern is shown for each argument shown.
Note. Results of Experiment 1 conditional on the topic and the level of argument support. Each line and colour in each panel shows responses to exactly one argument (i.e., there is no aggregation across items within a panel). The dots show individual responses and the curved lines show predictions from the linear mixed model. Blue dots represent argument quality ratings to good arguments in the data, orange dots represent argument quality ratings to bad arguments in the data, and the size of the dots represents the number of argument quality rating responses for the corresponding belief rating. Data points are dodged so that responses for good and bad arguments do not overlap. Model predictions are based on the fixed effects of the final model and the random effects of the by-topic grouping factor. Ext. = extremely.

Henrik Singmann @singmann.bsky.social · 6d

No. This is the precursor. Calvin is currently writing the SDT paper up. To model the confidence-rating data with SDT, we ended up using a custom brms family that we previously used here: doi.org/10.31234/osf...

OSF

doi.org

Henrik Singmann @singmann.bsky.social · 7d

New paper from @uclpals.bsky.social PhD student Calvin Deans-Browne and myself. We study to what degree prior beliefs and argument quality affect evaluations of arguments about political topics (e.g., abortion). Our results show prior beliefs play a larger role than argument quality itself. A 🧵

Cognition @cognitionjournal.bsky.social · 7d

In our study, we investigated how people evaluate everyday socio-political arguments in the context of their prior beliefs about the topics being discussed.

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Reposted by Henrik Singmann

Maarten van Smeden @maartenvsmeden.bsky.social · 13d

NEW FULLY FUNDED PHD POSITION

Looking for a motivated PhD candidate to join our team. Together with Danya Muilwijk, Jeffrey Beekman and I, you will explore opportunities and limitations of AI in the context of organoids

For more info and for applying 👉
www.careersatumcutrecht.com/vacancies/sc...

Vacancy — PhD position on AI methodology for prediction of patient outcomes using organoid models

Are you passionate about bringing personalized medicine to the next level and make real impact in healthcare? Join our team and develop novel AI methodology to improve predictions of relevant patient ...

www.careersatumcutrecht.com

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Reposted by Henrik Singmann

Richard D. Morey @richarddmorey.bsky.social · 14d

FWIW, both Clint and I discussed some points in the paper w/Uri (can't tag him b/c he blocked me) in private some time ago. To be clear, neither we nor he is entitled to "first comment" on anything. But if you say you have a policy you're willing to ignore when you feel, you don't have that policy.>

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Reposted by Henrik Singmann

Vanessa Loaiza @vmloaiza1.bsky.social · 14d

I am pleased to share that "the bird study" is now accepted at Psychology and Aging! A great collaboration with visiting intern Kishen Senziani, @leabartsch.bsky.social & @edamizrak.bsky.social 😀 Check out the pre-print below and a short thread on the study design and main takeaways 🧵👇

PsyArXivBot @psyarxivbot.bsky.social · 14d

What Makes a Birdbrain Tick: Long-term Memory Drives Expertise Effects on Working Memory Binding: https://osf.io/y835u

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Reposted by Henrik Singmann

Jonas Haslbeck @jmbh.bsky.social · 16d

Two new preprints on multilevel HMMs! Time series data is now pervasive in psychology and new methods are needed to model the dynamics in such data. Hidden Markov Models (HHMs) are powerful models for dynamics in which a system is switching between a number of discrete states.

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Reposted by Henrik Singmann

Danielle Navarro @djnavarro.net · 17d

Against my better instincts, I have written some notes on how human probability judgements work and what you should expect from surveys that ask people to guess what proportion of the population is transgender. I hope never to speak of this matter again

Some notes on probability judgement – Notes from a data witch

For the love of fuck, literally nobody thinks that 20% of the population is transgender. Please stop sharing that ridiculous YouGov statistic

blog.djnavarro.net

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Henrik Singmann @singmann.bsky.social · 16d

Insightful piece that resonates well with my experience of university governance in the UK. Paywall free link:
archive.is/1yFiq

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UCL Div. of Psychology & Language Sciences (PALS) @uclpals.bsky.social · 19d

A night of Neuroscience comedy for all, featuring staff & students from UCL Brain Sciences with stand-up comedian Abigoliah Schamaun.

🎟️ Book your tickets for the Brain Science Comedy Club on 22 Sept here: www.ucl.ac.uk/bloomsbury-t...

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Reposted by Henrik Singmann

Jonathan F. Kominsky @jfkominsky.bsky.social · 21d

Very excited to announce my student Andreas Arslan's first paper, "Causal coherence improves episodic memory of dynamic events" in Cognition!

Out now open access: www.sciencedirect.com/science/arti...

Andreas isn't on bsky, but he very kindly wrote a summary thread for me to share.

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Causal coherence improves episodic memory of dynamic events

“Episodes” in memory are formed by the experience of dynamic events that unfold over time. However, just because a series of events unfold sequentiall…

www.sciencedirect.com

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Reposted by Henrik Singmann

Mattan S. Ben-Shachar 🎗️🇮🇱🇺🇦 @mattansb.msbstats.info · 22d

New blog post!

Ever wonder what geom_histogram is actually doing? How about geom_boxplot?

In celebration of the release of #ggplot2 4.0.0 (ggplot8?), I explore the relationships between the “geoms” and “stats” offered by the core {ggplot2} functions.

#rstats

Exploring {ggplot2}’s Geoms and Stats – Stat’s What It’s All About

blog.msbstats.info

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Henrik Singmann @singmann.bsky.social · 22d

We recently published a big paper showing that hierarchical modelling is probably the best estimation method for MPTs:
doi.org/10.1037/bul0...
For something more introductory see: doi.org/10.1037/met0...

APA PsycNet

doi.org

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Reposted by Henrik Singmann

Nate O @nateo.bsky.social · 23d

Months of waiting but my review copy of The War on Science has arrived.

I read Krauss’ introduction. What the fuck happened to this man? He comes off as incapable of basic research, argument, basic scholarship.

He sounds stupid.

I look into strange claims he makes and they’re demonstrably false

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Henrik Singmann @singmann.bsky.social · 24d

Most thing in stats should come with big red warning labels, but especially ideas about variance partitioning (and particularly anything related to R-squared). For some details see the cool blog post below.

Jörn Diedrichsen @diedrichsenjorn.bsky.social · 27d

Variance partitioning is used to quantify the overlap of two models. Over the years, I have found that this can be a very confusing and misleading concept. So we finally we decided to write a short blog to explain why.
@martinhebart.bsky.social @gallantlab.org
diedrichsenlab.org/BrainDataSci...

Reposted by Henrik Singmann

Joachim Vandekerckhove 🏖️ @joachim.cidlab.com · 26d

Assistant Professor opening at University of California, Irvine | @mathpsych.org #iccmpsyched mathpsych.org/page/news/131

Society for Mathematical Psychology

Online conferences, news, membership functions, and information about the Society

mathpsych.org

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