Timo B. Roettger
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timoroettger.bsky.social
Timo B. Roettger
@timoroettger.bsky.social
1.2K followers 490 following 250 posts
Cognitive scientist / Linguist - Full Professor at University of Oslo

#MetaScience #OpenScience

#DataViz #PresentationDesign #SciComm
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timoroettger.bsky.social
Timo B. Roettger @timoroettger.bsky.social · Sep 14
A beginner’s guide to impactful slide design.

I discuss 3 widely applicable tips on how slide design can engage your audience, clearly communicate your ideas and leave a lasting impact: tinyurl.com/bdfjmda9

#SlideDesign #SciComm
Reposted by Timo B. Roettger
francescatalamini.bsky.social
Finally, our 4-year long project has been published! We have conducted a multi-lab study comparing STM of musicians and nonmusicians, collecting many other cognitive, personality, musical, and demographic variables!
A big thank you to all collaborators!
journals.sagepub.com/doi/10.1177/...
Do Musicians Have Better Short-Term Memory Than Nonmusicians? A Multilab Study - Massimo Grassi, Francesca Talamini, Gianmarco Altoè, Elvira Brattico, Anne Caclin, Barbara Carretti, Véronique Drai-Zer...
Musicians are often regarded as a positive example of brain plasticity and associated cognitive benefits. This emerges when experienced musicians (e.g., musicia...
journals.sagepub.com
November 7, 2025 at 10:49 AM
timoroettger.bsky.social
Really insightful talk by @kjhealy.co on trust in data #DataViz. What I take home is that a graph itself is not going to instil trust, no matter how hard you try, only its context can.
November 10, 2025 at 5:32 PM
Reposted by Timo B. Roettger
cdminix.bsky.social
… so glad I ran 20 experiments this time!

If your p-value remains stubbornly above 0.05, there are some creative ways to describe that as well, see this blog post: mchankins.wordpress.com/2013/04/21/s...
Still Not Significant
What to do if your p-value is just over the arbitrary threshold for ‘significance’ of p=0.05? You don’t need to play the significance testing game – there are better methods…
mchankins.wordpress.com
November 4, 2025 at 2:19 PM
Reposted by Timo B. Roettger
xeniaschmalz.bsky.social
Well, that's nothing! My p-value is 0.000!
November 4, 2025 at 12:27 PM
timoroettger.bsky.social
Fill in the blank:

"My p-value is smaller than 0.05, so..."

Wrong answers only.
November 4, 2025 at 12:24 PM
timoroettger.bsky.social
I'm sorry OSF, but did you involve a UX designer when overhauling your user interface? 🤦
November 4, 2025 at 7:56 AM
Reposted by Timo B. Roettger
akellyucc.bsky.social
Then: et al
Now: et AI
carnage4life.bsky.social Dare Obasanjo @carnage4life.bsky.social · 10d
arXiv will no longer accept review articles and position papers unless they have been accepted at a journal or a conference and complete successful peer review.

This is due to being overwhelmed by a hundreds of AI generated papers a month.

Yet another open submission process killed by LLMs.
Attention Authors: Updated Practice for Review Articles and Position Papers in arXiv CS Category – arXiv blog
blog.arxiv.org
November 2, 2025 at 5:48 PM
Reposted by Timo B. Roettger
solomonkurz.bsky.social
New effect size just dropped: The PVPP
lakens.bsky.social Daniel Lakens @lakens.bsky.social · 11d
New paper finds that selective reporting remains the most replicable finding in science: journals.sagepub.com/doi/full/10.... I especially like their new exploratory metric 'p-values per participant'. Some papers had 11 p-values per participant! 🤯
Sage Journals: Discover world-class research
Subscription and open access journals from Sage, the world's leading independent academic publisher.
journals.sagepub.com
November 1, 2025 at 1:16 AM
Reposted by Timo B. Roettger
dingdingpeng.the100.ci
This is an excellent point that generalizes.
Researchers often defend suboptimal practices by referring to future studies with better designs.

But: Why would anybody run those studies when you can just throw a bunch of variables into a regression and make sweeping "preliminary" claims?
Defences of factors associated with studies Results are exploratory or hypothesis generating Researchers might accept that limitations exist in a “factors associated with” analysis, but argue that the results give a useful initial indication of potential risk factors. Researchers might say that the results are hypothesis generating and can inform confirmatory studies with a more focused study design. But how often has an important hypothesis been generated for the first time from a “factors associated with” study, and then confirmed to be true? We have yet to identify an example. If readers can identify examples, which we would like to hear about, we wonder if these justify the waste from the large number of “factors associated with studies that are done each year.
October 28, 2025 at 11:22 AM
Reposted by Timo B. Roettger
urrestarazu.bsky.social
👻 linguists
danlewer.bsky.social Dan Lewer @danlewer.bsky.social · 15d
We wrote an article explaining why you shouldn't put several variables into a regression model and report which are statistically significant - even as exploratory research. bmjmedicine.bmj.com/content/4/1/.... How did we do?
A "methods primer" article in the journal "BMJ Medicine", titled "Factors associated with: problems of using exploratory multivariable regression to identify causal risk factors"
October 28, 2025 at 11:36 AM
timoroettger.bsky.social
@ folks who teach stats: How do you design your assignments nowadays? My students use LLMs for coding and that is fine. But I wonder what beautiful solutions you found to effectively assess students understanding of the conceptual content of statistical methods. Happy if you could share 🤓
October 28, 2025 at 10:57 AM
Reposted by Timo B. Roettger
katestarbird.bsky.social
Really excited to share this new paper on "Data Visualizations as Propaganda", co-led by PhD students Priya Dhawka and Nina Lutz, which just won a Best Paper award at the CSCW conference: dl.acm.org/doi/10.1145/...

[Short thread]
Data Visualizations as Propaganda: Tracing Lineages, Provenance, and Political Framings in Online Anti-Immigrant Discourse | Proceedings of the ACM on Human-Computer Interaction
Along with other visual content, data visualizations are increasingly used within online discourse, including political communication. Though often considered to be ''objective'', data visualizations ...
dl.acm.org
October 27, 2025 at 9:10 PM
Reposted by Timo B. Roettger
alexh.bsky.social
MetaROR, a platform for reviews of research on research, is a success! We have published 24 sets of reviews and have 16 submissions in process. MetaROR now has 9 partners - these are journals that agree to use our reviews when authors submit to them. metaror.org #metascience #openaccess
Home - MetaROR
MetaResearch Open Review MetaResearch Open Review MetaResearch Open Review A new platform designed to transform how we review and share metaresearch A new platform designed to transform
metaror.org
October 26, 2025 at 10:33 PM
timoroettger.bsky.social
always the same kind of plenary speakers, from the same privileged places, perpetually keeping us in our bubble 🥱
October 24, 2025 at 9:56 AM
timoroettger.bsky.social
I just learned that my understanding of what is referred to as just noticeable differences (JNDs) in speech perception is completely misconceived 🤯
October 23, 2025 at 6:38 AM
timoroettger.bsky.social
Project idea: Find published open data sets that do that, re-run models with appropriate random effect structures in brms, and compare how often the published claims hold. Anyone in?
timoroettger.bsky.social Timo B. Roettger @timoroettger.bsky.social · 20d
Pretty wild to me how many people when realizing their linear mixed effects models do not converge with appropriate random effect structures, reduce the random effect structure until convergence and then very confidently use the inferential results to make far-reaching claims about nature.
October 22, 2025 at 7:23 AM
timoroettger.bsky.social
Pretty wild to me how many people when realizing their linear mixed effects models do not converge with appropriate random effect structures, reduce the random effect structure until convergence and then very confidently use the inferential results to make far-reaching claims about nature.
October 22, 2025 at 7:21 AM
Reposted by Timo B. Roettger
jessicahullman.bsky.social
@abhsarma.bsky.social created a visualization tool for principled reasoning about whether analysis paths should be included in a multiverse

Try it: abhsarma.github.io/milliways/

Paper:
mucollective.northwestern.edu/project/2024...
Code:
github.com/abhsarma/mil...
October 21, 2025 at 4:56 PM
Reposted by Timo B. Roettger
labphon.bsky.social
Can we reliably identify MERGED vs. DISTINCT speakers during ongoing sound change? #Acoustics + #perception data from #Norwegian /ʃ, ç/ show that a principled boundary between speaker groups does not exist. doi.org/10.16995/lab...
#openaccess #LabPhon @timoroettger.bsky.social @stausland.bsky.social
Investigating potential MERGED and DISTINCT speakers in an ongoing merger — Evidence from production and perception
This study investigates whether it is possible to use evidence from production and perception to identify different types of speakers in the study of the ongoing merger of /ʃ/ and /ç/ in Norwegian. Sp...
www.journal-labphon.org
October 21, 2025 at 2:29 AM
timoroettger.bsky.social
New paper led by Dara Etemady: Statistical reporting inconsistencies in experimental linguistics.

Almost half (49%) of all articles contained at least one inconsistent p-value. 12% contained an inconsistency that may have affected the statistical conclusion."

escholarship.org/uc/item/3736...
Proportion of articles containing at least one inconsistency / decision inconsistency. (Applied Psycholinguistics (APS), Language and Brain (BAL), Bilingualism: Language and Cognition (BLC), Journal of Memory and Language (JML), Journal of Psycholinguistic Research (JPR), Linguistic Approaches to Bilingualism (LAB), Language and Speech (LaS), Language Cognition and Neuroscience (LCN, formerly Language and Cognitive Processes), Language Learning and Technology (LLT), Journal of Language and Social Psychology (LSP), Journal of Child Language (JCL), and Studies in Second Language Acquisition (SLA), Journal Of Speech Language And Hearing Research (SLH)).
October 10, 2025 at 6:45 AM
Reposted by Timo B. Roettger
kmahowald.bsky.social
UT Austin Linguistics is hiring in computational linguistics!

Asst or Assoc.

We have a thriving group sites.utexas.edu/compling/ and a long proud history in the space. (For instance, fun fact, Jeff Elman was a UT Austin Linguistics Ph.D.)

faculty.utexas.edu/career/170793

🤘
UT Austin Computational Linguistics Research Group – Humans processing computers processing humans processing language
sites.utexas.edu
October 7, 2025 at 8:53 PM
Reposted by Timo B. Roettger
ryanmarino.bsky.social
This is why we fund scientists to study things like oyster slobber even if you don’t think it sounds important
leahmcelrath.bsky.social Leah McElrath @leahmcelrath.bsky.social · Sep 29
⚠️ Chinese researchers have invented bone glue that mimics how oysters stick to surfaces underwater.

The adhesive can reportedly repair orthopedic fractures in 2-3 minutes, even in blood-rich environments, and is bioabsorbable.

interestingengineering.com/science/chin...
China's oyster-inspired 'bone glue' bonds fractures in minutes
A new oyster-inspired Bone-02 adhesive can revolutionize bone repair without metal fasteners.
interestingengineering.com
September 30, 2025 at 10:35 PM
Reposted by Timo B. Roettger
fernandaedi.bsky.social
New paper: We argue that linearization in language production is a foraging process, with speakers navigating semantic and spatial clusters. Lead author: Karina Tachihara, former UC Davis postdoc, now faculty at UIUC!

www.sciencedirect.com/science/arti...
Planning to be incremental: Scene descriptions reveal meaningful clustering in language production
How do speakers plan complex descriptions and then execute those plans? In this work, we attempt to answer this question by asking subjects to describ…
www.sciencedirect.com
September 22, 2025 at 10:44 PM
Reposted by Timo B. Roettger
dingdingpeng.the100.ci
Ever stared at a table of regression coefficients & wondered what you're doing with your life?

Very excited to share this gentle introduction to another way of making sense of statistical models (w @vincentab.bsky.social)
Preprint: doi.org/10.31234/osf...
Website: j-rohrer.github.io/marginal-psy...
Models as Prediction Machines: How to Convert Confusing Coefficients into Clear Quantities Abstract Psychological researchers usually make sense of regression models by interpreting coefficient estimates directly. This works well enough for simple linear models, but is more challenging for more complex models with, for example, categorical variables, interactions, non-linearities, and hierarchical structures. Here, we introduce an alternative approach to making sense of statistical models. The central idea is to abstract away from the mechanics of estimation, and to treat models as “counterfactual prediction machines,” which are subsequently queried to estimate quantities and conduct tests that matter substantively. This workflow is model-agnostic; it can be applied in a consistent fashion to draw causal or descriptive inference from a wide range of models. We illustrate how to implement this workflow with the marginaleffects package, which supports over 100 different classes of models in R and Python, and present two worked examples. These examples show how the workflow can be applied across designs (e.g., observational study, randomized experiment) to answer different research questions (e.g., associations, causal effects, effect heterogeneity) while facing various challenges (e.g., controlling for confounders in a flexible manner, modelling ordinal outcomes, and interpreting non-linear models). Figure illustrating model predictions. On the X-axis the predictor, annual gross income in Euro. On the Y-axis the outcome, predicted life satisfaction. A solid line marks the curve of predictions on which individual data points are marked as model-implied outcomes at incomes of interest. Comparing two such predictions gives us a comparison. We can also fit a tangent to the line of predictions, which illustrates the slope at any given point of the curve. A figure illustrating various ways to include age as a predictor in a model. On the x-axis age (predictor), on the y-axis the outcome (model-implied importance of friends, including confidence intervals). Illustrated are 1. age as a categorical predictor, resultings in the predictions bouncing around a lot with wide confidence intervals 2. age as a linear predictor, which forces a straight line through the data points that has a very tight confidence band and 3. age splines, which lies somewhere in between as it smoothly follows the data but has more uncertainty than the straight line.
August 25, 2025 at 11:49 AM
Reposted by Timo B. Roettger
gesis.org
Neuer Beitrag im GESIS #Blog über #Sprache als Faktor für eine verlässlichen #Wissenschaft

Warum ist Sprache so entscheidend im Kontext wissenschaftlicher #Replizierbarkeit und wie können Forschende sprachbezogenen Herausforderungen begegnen?
doi.org/10.34879/ges...
September 9, 2025 at 3:30 PM