๐จExcited to announce the full-day Moral Psychology pre-conference at #SPSP2026!
We sold out last year, and with this yearโs incredible speaker lineup, we expect the same.
Submit your poster or data blitz abstract by Oct. 23! spsp.wufoo.com/forms/2026-p... Thereโs a best poster award!
07.10.2025 16:36 โ ๐ 25 ๐ 9 ๐ฌ 1 ๐ 1
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 ๐ 59 ๐ 24 ๐ฌ 1 ๐ 2
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 immigrantsโwho are pursuing graduate
The Paul & Daisy Soros Fellowship "invests in the graduate education of 30 New Americansโimmigrants and children of immigrantsโpoised 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 ๐ 23 ๐ 7 ๐ฌ 0 ๐ 0
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 ๐ 38 ๐ 30 ๐ฌ 0 ๐ 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
Happy to announce that I'll give a talk on how we can make rigorous causal inference more mainstream ๐
You can sign up for the Zoom link here: tinyurl.com/CIIG-JuliaRo...
06.10.2025 11:43 โ ๐ 140 ๐ 53 ๐ฌ 3 ๐ 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 ๐ 112 ๐ 32 ๐ฌ 3 ๐ 2
Happy fall y'all
04.10.2025 11:55 โ ๐ 401 ๐ 62 ๐ฌ 1 ๐ 3
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 ๐ 34 ๐ 10 ๐ฌ 5 ๐ 5
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 ๐ 31 ๐ 24 ๐ฌ 1 ๐ 1
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 ๐ 40 ๐ 45 ๐ฌ 0 ๐ 2
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! ๐ช
03.10.2025 06:53 โ ๐ 17 ๐ 1 ๐ฌ 2 ๐ 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 ๐ 70 ๐ 21 ๐ฌ 2 ๐ 1
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.
๐ t1p.de/qual_mix_meth_26
02.10.2025 12:37 โ ๐ 9 ๐ 4 ๐ฌ 0 ๐ 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 ๐ 18 ๐ 7 ๐ฌ 0 ๐ 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 ๐ 23 ๐ 7 ๐ฌ 1 ๐ 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 trialโs 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
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 ๐ 115 ๐ 23 ๐ฌ 4 ๐ 1
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 ๐ 30 ๐ 8 ๐ฌ 5 ๐ 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 ๐ 39 ๐ 8 ๐ฌ 5 ๐ 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 ๐ 33 ๐ 16 ๐ฌ 4 ๐ 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 ๐ 24 ๐ 7 ๐ฌ 1 ๐ 0
We're hiring!
01.10.2025 17:26 โ ๐ 7 ๐ 2 ๐ฌ 0 ๐ 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 arenโt 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 couldโve also led them astray in the absence of collinearity.
If you do decide to โdeal 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 ๐ 114 ๐ 33 ๐ฌ 3 ๐ 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 ๐ 18 ๐ 4 ๐ฌ 8 ๐ 1
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 ๐ 28 ๐ 21 ๐ฌ 2 ๐ 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 ๐ 2 ๐ 2 ๐ฌ 0 ๐ 1
AI-generated โparticipantsโ can lead social science experiments astray, study finds
Data produced by โsilicon 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 ๐ธ
How about we reconsider the idea that sciencey science involves collecting own data.
www.science.org/content/arti...
01.10.2025 04:17 โ ๐ 226 ๐ 71 ๐ฌ 13 ๐ 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 mistakesโฆ
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 ๐ 17 ๐ 8 ๐ฌ 0 ๐ 0
Senior lecturer at the Department of Multilingualism at https://unifr.ch/. Master's student statistics at https://unibe.ch/. Saxophonist with https://beatmoustache.ch/. Aficionado of Danish ska.
Blog & website: https://janhove.github.io
Cognitive scientist at Stanford. Open science advocate. Symbolic Systems Program director. Bluegrass picker, slow runner, dad. http://langcog.stanford.edu
Research Methods. Multivariate Models. Individual differences. Lifespan. Reproducibility. R. Views are my own but you can keep them.
PhD candidate studying Monte Carlo simulations in the social/behavioral sciences | Meta-Research Center, Tilburg University | Board member at the Platform for Young Meta-Scientists (PYMS)
Psychological methods; Philosophy of psychology; Time series data; Experience sampling method in clinical practice; Psych Networks: more than a pretty picture?
https://www.laurabringmannlab.com/
I study judgments. I make decisions.
Asst. prof. Maastricht University, Netherlands.
Psychology, Research methods, Statistics, Music.
Sometimes I stop making sense.
Asst Prof UZH Psychology - quant methods, dynamic systems, human development, psychology. @CharlesDriverAU
Psychology lecturer at UoG ๐ด๓ ง๓ ข๓ ณ๓ ฃ๓ ด๓ ฟ
All things data skills, statistics, quant research methods, and HE pedagogy. #rstats
๐ฃ๏ธ๐ฌ๐ง๐ฉ๐ช
Associate professor of quantitative psychology at UCLA. Data analysis, research methods, statistics, psychology, teaching.
Professor at Faculty of Psychology at Ruhr University Bochum, Germany. Studies loneliness, well-being, life events and personality development. Also #rstats and cats!
https://www.pml.psy.ruhr-uni-bochum.de/personen/luhmann.html.en
Associate Professor | Quantitative Psychologist | Psychometrician
https://www.psych.mcgill.ca/perpg/fac/falk/
https://scholar.google.com/citations?user=9BA_cL0AAAAJ
Community Manager for Data-PASS JEDI @dpjedi.org, admin & co-founder at PCI Psych @psych.peercommunityin.org, and one of the people helping SIPS @improvingpsych.org run smoothly. Sometimes also a metascientist doing research on scientific publishing.
PhD Student, Radboud University (Netherlands). Researching how our social and cultural environments shape our implicit biases. Big Team Science & Statistics enthusiast.
Science, not Science Fiction.
Assistant Professor of Marketing. STAR editor at Psychological Science
Tenured researcher at the University of Cologne, formerly Postdoc at the University of Amsterdam. Interested in Bayesian statistics, mathematical models of learning/memory, and computational reproducibility. I develop R packages and obsess about coffee
Assistant prof. at WashU enthusiastically researching personality, well-being, and morality. Vegan effective altruist, Brazilian Zouk addict, opera singer, climber.
Professor of Biostatistics
Vanderbilt University School of Medicine
Expert Biostatistics Advisor
FDA Center for Drug Evaluation and Research
https://hbiostat.org https://fharrell.com
Assistant Professor improving (assessment of) measurement in intensive longitudinal data
Department of Methodology and Statistics, Tilburg University, The Netherlands
Ambassador for the Tilburg Experience Sampling Center: https://experiencesampling.nl/
Epidemiologist + Statistician | Clinical Research Facility - University College Cork | UCC School of Public Health | #ClinicalTrials #Epidemiology #Statistics #RStats #WBE #IDSurveillance
Views mine -> https://statsepi.substack.com/