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Felix Thoemmes

@felixthoemmes.bsky.social

1,009 Followers  |  170 Following  |  135 Posts  |  Joined: 31.08.2023  |  2.2904

Latest posts by felixthoemmes.bsky.social on Bluesky

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๐ŸšจExcited to announce the full-day Moral Psychology pre-conference at #SPSP2026!

We sold out last year, and with this yearโ€™s incredible speaker lineup, we expect the same.

Submit your poster or data blitz abstract by Oct. 23! spsp.wufoo.com/forms/2026-p... Thereโ€™s a best poster award!

07.10.2025 16:36 โ€” ๐Ÿ‘ 25    ๐Ÿ” 9    ๐Ÿ’ฌ 1    ๐Ÿ“Œ 1
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Great paper on the state of political science osf.io/preprints/os... by @guygrossman.bsky.social et. al. We have become more diverse, more quantitative, and more collaborative.

07.10.2025 10:38 โ€” ๐Ÿ‘ 59    ๐Ÿ” 24    ๐Ÿ’ฌ 1    ๐Ÿ“Œ 2
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Universitรคtsprofessur fรผr Experimentelle Psychologie (W2-analog) bei Universitรคt Witten/Herdecke Wir suchen: Universitรคtsprofessur fรผr Experimentelle Psychologie (W2-analog) (Vollzeit) โ€ข Alfred-Herrhausen-StraรŸe 50, 58455 Witten, Deutschland

We're looking for an experimental psychologist in Witten. Contact me if you have questions about the job (I'm not on the commission, so can talk freely :-)
uni-wh.softgarden.io/job/59638545...

06.10.2025 14:48 โ€” ๐Ÿ‘ 11    ๐Ÿ” 14    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0
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Why Become a Fellow โ€“ Paul & Daisy Soros Fellowships for New Americans Apply for a Paul & Daisy Soros fellowship and become one of the thirty New Americansโ€” immigrants or the children of immigrantsโ€”who are pursuing graduate

The Paul & Daisy Soros Fellowship "invests in the graduate education of 30 New Americansโ€”immigrants and children of immigrantsโ€”poised to significantly contribute to U.S. society, culture, or their academic field. Fellows receive up to $90,000 in financial support over two years."

06.10.2025 10:33 โ€” ๐Ÿ‘ 23    ๐Ÿ” 7    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0
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ELLIS PhD Program: Call for Applications 2025 The ELLIS mission is to create a diverse European network that promotes research excellence and advances breakthroughs in AI, as well as a pan-European PhD program to educate the next generation of AI...

I'm looking for a doctoral student with Bayesian background to work on Bayesian workflow and cross-validation (see my publication list users.aalto.fi/~ave/publica... for my recent work) at Aalto University.

Apply through the ELLIS PhD program (dl October 31) ellis.eu/news/ellis-p...

06.10.2025 09:28 โ€” ๐Ÿ‘ 38    ๐Ÿ” 30    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 1
Causal inference interest group, supported by the Centre for Longitudinal Studies

Seminar series
20th October 2025, 3pm BST (UTC+1)

"Making rigorous causal inference more mainstream"
Julia Rohrer, Leipzig University

Sign up to attend at tinyurl.com/CIIG-JuliaRohrer

Causal inference interest group, supported by the Centre for Longitudinal Studies Seminar series 20th October 2025, 3pm BST (UTC+1) "Making rigorous causal inference more mainstream" Julia Rohrer, Leipzig University Sign up to attend at tinyurl.com/CIIG-JuliaRohrer

Happy to announce that I'll give a talk on how we can make rigorous causal inference more mainstream ๐Ÿ“ˆ

You can sign up for the Zoom link here: tinyurl.com/CIIG-JuliaRo...

06.10.2025 11:43 โ€” ๐Ÿ‘ 140    ๐Ÿ” 53    ๐Ÿ’ฌ 3    ๐Ÿ“Œ 4

Also - contrast b/w the response when I advocate teaching R instead of SPSS -- "No hurry, let's not rush into it" (still waiting) -- & others re: use of LLMs -- "It's inevitable, we're behind; need it implement it ASAP!" -- is telling. Learning to code is freeing. Overhyped LLMs create dependency.

04.10.2025 09:00 โ€” ๐Ÿ‘ 112    ๐Ÿ” 32    ๐Ÿ’ฌ 3    ๐Ÿ“Œ 2
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Happy fall y'all

04.10.2025 11:55 โ€” ๐Ÿ‘ 401    ๐Ÿ” 62    ๐Ÿ’ฌ 1    ๐Ÿ“Œ 3
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Research output after tenure drops off a cliff for business, economics, sociology, and other non-lab fields.

But it remains high post-tenure in lab-based fields such as chemistry, physics, computer science, and engineering.
www.pnas.org/doi/epdf/10....

03.10.2025 17:18 โ€” ๐Ÿ‘ 34    ๐Ÿ” 10    ๐Ÿ’ฌ 5    ๐Ÿ“Œ 5
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a logo for the carolina tar heels with a ram head ALT: a logo for the carolina tar heels with a ram head

UNC is hiring in Quantitative Psychology! Assistant Professor (tenure-track). Please share widely! Find details here: unc.peopleadmin.com/postings/307...

03.10.2025 19:34 โ€” ๐Ÿ‘ 31    ๐Ÿ” 24    ๐Ÿ’ฌ 1    ๐Ÿ“Œ 1
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We're seeking the next Director of the Max Planck Institute for Psycholinguistics! Lead cutting-edge research in language & cognition. Nominations (incl. self) due 19 Dec 2025.
mpi.nl/career-education/vacancies/vacancy/nominations-and-self-nominations-sought-position-director-max

03.10.2025 07:53 โ€” ๐Ÿ‘ 40    ๐Ÿ” 45    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 2
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W2-Professur "Open Science" an der Philosophischen Fakultรคt - Humboldt-Universitรคt zu Berlin Humboldt-Universitรคt zu Berlin bietet Stelle als W2-Professur "Open Science" an der Philosophischen Fakultรคt in Berlin - jetzt bewerben!

Open Science Professor ship at HU Berlin
www.academics.de/jobs/w2-prof...

03.10.2025 06:28 โ€” ๐Ÿ‘ 29    ๐Ÿ” 22    ๐Ÿ’ฌ 1    ๐Ÿ“Œ 0

Starting up a new @quarto.org file.

Filling in the yaml header.

title: "supporting the null in the Bayesian framework"
author: -- copilot suggests @mjskay.com

What a flex! ๐Ÿ’ช

03.10.2025 06:53 โ€” ๐Ÿ‘ 17    ๐Ÿ” 1    ๐Ÿ’ฌ 2    ๐Ÿ“Œ 0

Post a favorite econ paper: Lichter et al. (2021, JEEA) @sigginho.bsky.social

Regions with higher Stasi spy density in East Germany still show lower trust, lower incomes, higher unemployment, and less entrepreneurship decades after reunification.

Open-access link: doi.org/10.1093/jeea...

03.10.2025 07:33 โ€” ๐Ÿ‘ 70    ๐Ÿ” 21    ๐Ÿ’ฌ 2    ๐Ÿ“Œ 1
Easing Into Open Science: A Guide for Graduate Students and Their Advisors This article provides a roadmap to assist graduate students and their advisors to engage in open science practices. We suggest eight open science practices that novice graduate students could begin ad...

Apropos of recent open science conversations - this paper is an awesome primer for grad students and faculty who want to learn more: online.ucpress.edu/collabra/art...

03.10.2025 11:00 โ€” ๐Ÿ‘ 22    ๐Ÿ” 13    ๐Ÿ’ฌ 1    ๐Ÿ“Œ 0
GESIS Workshop
Causal Models for Qualitative and Mixed Methods Research
27 to 28 January 2026 / Cologne
Macartan Humphreys & Alan M. Jacobs

GESIS Workshop Causal Models for Qualitative and Mixed Methods Research 27 to 28 January 2026 / Cologne Macartan Humphreys & Alan M. Jacobs

Want to bring causal thinking into qualitative or mixed methods research? @macartan.bsky.social & @alanjacobs.bsky.social show how to build causal models & use Bayesian reasoning to link theory with data, guide case & method choices, & combine within- & cross-case evidence.
๐Ÿ‘‰ t1p.de/qual_mix_meth_26

02.10.2025 12:37 โ€” ๐Ÿ‘ 9    ๐Ÿ” 4    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0

We have a new preprint out - continuing to try and move the needle on improving research in clinical psych

02.10.2025 13:12 โ€” ๐Ÿ‘ 18    ๐Ÿ” 7    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0

@psychscience.bsky.social Submission site for Barcelona 2026 opens Oct. 30th!!! Join us in Spain for the first APS to be held outside the U.S. Many new ways to interact and to share psychological research being done around the world. www.psychologicalscience.org/conventions/...

02.10.2025 14:12 โ€” ๐Ÿ‘ 23    ๐Ÿ” 7    ๐Ÿ’ฌ 1    ๐Ÿ“Œ 1
Elucidating some common biases in randomized controlled trials
using directed acyclic graphs

Although the ideal randomized clinical trial is the gold standard for causal inference, real randomized trials often suffer
from imperfections that may hamper causal effect estimation. Stating the estimand of interest can help reduce confusion
about what is being estimated, but it is often difficult to determine what is and is not identifiable given a trialโ€™s specific
imperfections. We demonstrate how directed acyclic graphs can be used to elucidate the consequences of common imperfections,
such as noncompliance, unblinding, and drop-out, for the identification of the intention-to-treat effect, the total
treatment effect and the physiological treatment effect. We assert that the physiological treatment effect is not identifiable
outside a trial with perfect compliance and no dropout, where blinding is perfectly maintained

Elucidating some common biases in randomized controlled trials using directed acyclic graphs Although the ideal randomized clinical trial is the gold standard for causal inference, real randomized trials often suffer from imperfections that may hamper causal effect estimation. Stating the estimand of interest can help reduce confusion about what is being estimated, but it is often difficult to determine what is and is not identifiable given a trialโ€™s specific imperfections. We demonstrate how directed acyclic graphs can be used to elucidate the consequences of common imperfections, such as noncompliance, unblinding, and drop-out, for the identification of the intention-to-treat effect, the total treatment effect and the physiological treatment effect. We assert that the physiological treatment effect is not identifiable outside a trial with perfect compliance and no dropout, where blinding is perfectly maintained

Table 1 showing the Identifiability of target estimands depending on whether there is blinding, full compliance, and no drop-out

Table 1 showing the Identifiability of target estimands depending on whether there is blinding, full compliance, and no drop-out

An example DAG from the paper.
Fig. 4: A blinded trial with noncompliance.

U are unobserved confounders, Z is treatment assignment, C is compliance, X is the realized treatment, S is the subject's physical and mental health status, Xself and Xcln are the treatment that the participant and the clinician believed the participant received, Y is the outcome.

An example DAG from the paper. Fig. 4: A blinded trial with noncompliance. U are unobserved confounders, Z is treatment assignment, C is compliance, X is the realized treatment, S is the subject's physical and mental health status, Xself and Xcln are the treatment that the participant and the clinician believed the participant received, Y is the outcome.

Just finished reading this *excellent* article by Gabriel et al. which discusses which effects can be identified in randomized controlled trials. With DAGs!>

link.springer.com/article/10.1...

02.10.2025 08:09 โ€” ๐Ÿ‘ 115    ๐Ÿ” 23    ๐Ÿ’ฌ 4    ๐Ÿ“Œ 1
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Very excited to be in Luxembourg - with the Aging, Cancer, & Disparaties Research Unit green mascot - to launch the RESCOM lecture series in causal inference!

Future speakers from an amazing lineup include @georgiatomova.bsky.social, @miguelhernan.org, Mats Stenrund, & @dingdingpeng.the100.ci!

01.10.2025 15:23 โ€” ๐Ÿ‘ 30    ๐Ÿ” 8    ๐Ÿ’ฌ 5    ๐Ÿ“Œ 1

Despite heroic efforts by a small cadre of people in the field, the vast majority of senior PIs in clinical psychology continue to be uninterested or hostile to OS practices.

It makes me think they just don't care, and it's really depressing.

02.10.2025 13:42 โ€” ๐Ÿ‘ 39    ๐Ÿ” 8    ๐Ÿ’ฌ 5    ๐Ÿ“Œ 2
OSF

We already know that lagged effects in CLPMs are likely to be upwardly biased, but just how easy is it to find significant effects? Way too easy. I tested CLPMS in 100 randomly selected pairs of correlated variables and found significant effects in 98 of them. New preprint: osf.io/preprints/ps...

02.10.2025 13:27 โ€” ๐Ÿ‘ 33    ๐Ÿ” 16    ๐Ÿ’ฌ 4    ๐Ÿ“Œ 4

Gather round, all those bayes curious, pragmatic, committed or indifferent, for an elegant and flexible way to approach reliability estimation using bayesian measurement models! All thoughts and ideas welcome

01.10.2025 10:22 โ€” ๐Ÿ‘ 24    ๐Ÿ” 7    ๐Ÿ’ฌ 1    ๐Ÿ“Œ 0

We're hiring!

01.10.2025 17:26 โ€” ๐Ÿ‘ 7    ๐Ÿ” 2    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0

tl;dr

    Collinearity is a form of lack of information that is appropriately reflected in the output of your statistical model.
    When collinearity is associated with interpretational difficulties, these difficulties arenโ€™t caused by the collinearity itself. Rather, they reveal that the model was poorly specified (in that it answers a question different to the one of interest), that the analyst overly focuses on significance rather than estimates and the uncertainty about them or that the analyst took a mental shortcut in interpreting the model that couldโ€™ve also led them astray in the absence of collinearity.
    If you do decide to โ€œdeal withโ€ collinearity, make sure you can still answer the question of interest.

tl;dr Collinearity is a form of lack of information that is appropriately reflected in the output of your statistical model. When collinearity is associated with interpretational difficulties, these difficulties arenโ€™t caused by the collinearity itself. Rather, they reveal that the model was poorly specified (in that it answers a question different to the one of interest), that the analyst overly focuses on significance rather than estimates and the uncertainty about them or that the analyst took a mental shortcut in interpreting the model that couldโ€™ve also led them astray in the absence of collinearity. If you do decide to โ€œdeal withโ€ collinearity, make sure you can still answer the question of interest.

Was asked about collinearity again, so here's Vahove's 2019 post on why it isn't a problem that needs a solution. Design the model(s) to answer a formal question and free your mind janhove.github.io/posts/2019-0...

01.10.2025 05:29 โ€” ๐Ÿ‘ 114    ๐Ÿ” 33    ๐Ÿ’ฌ 3    ๐Ÿ“Œ 4

Looking for textbooks that did a good job walking out sum-to-zero coding (aka effect coding) versus treatment coding (aka dummy coding). Favorites?

01.10.2025 16:55 โ€” ๐Ÿ‘ 18    ๐Ÿ” 4    ๐Ÿ’ฌ 8    ๐Ÿ“Œ 1
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Two open positions on COS's research team!

Project Coordinator: Undergraduate degree in research, or equivalent experience ats.rippling.com/cos-careers/...

Program Manager: 10 yrs of project management experience or 2+ program management ats.rippling.com/cos-careers/...

Please share w/colleagues

01.10.2025 13:22 โ€” ๐Ÿ‘ 28    ๐Ÿ” 21    ๐Ÿ’ฌ 2    ๐Ÿ“Œ 1
Cornell University, Psychology Job #AJO30665, WDR-00055302 Open Rank, Tenure-Track Faculty Position, Psychology, Psychology, Cornell University, Ithaca, New York, US

Come work with me at Cornell University. We are hiring an open-rank tenure-track professor in social / developmental with a focus on relationship science and human bonding.

academicjobsonline.org/ajo/jobs/30665

01.10.2025 12:49 โ€” ๐Ÿ‘ 2    ๐Ÿ” 2    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 1
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AI-generated โ€˜participantsโ€™ can lead social science experiments astray, study finds Data produced by โ€œsilicon samplesโ€ depends on researchersโ€™ exact choice of models, prompts, and settings

A lot of psych is already conducted with online convenience samples & ppl are probably excited about silicon samples bc it would allow them to crank out more studies for even less ๐Ÿ’ธ

How about we reconsider the idea that sciencey science involves collecting own data.
www.science.org/content/arti...

01.10.2025 04:17 โ€” ๐Ÿ‘ 226    ๐Ÿ” 71    ๐Ÿ’ฌ 13    ๐Ÿ“Œ 17
Error Tight - Carleton College No one is immune from making mistakes. However, it is possible to set up our labs and research systems in ways that reduce the likelihood that we will make mistakesโ€ฆ

Hi all! I'm on sabbatical this year and have bandwidth to zoom into lab meetings to talk about open science in cog psych and speech research and/or how to implement practices that reduce research errors! (www.carleton.edu/perception-l...).

Email me if that sounds fun to you too!

30.09.2025 15:36 โ€” ๐Ÿ‘ 17    ๐Ÿ” 8    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0

@felixthoemmes is following 20 prominent accounts