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Brendan Schuetze

@schu.etze.co
936 followers 486 following 120 posts

Cognition, Learning Science, Quant Methods Assistant Professor, Educational Psychology at a “large university in the mountain west” Views may not be my own, but definitely not my employer's schu.etze.co

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Brendan Schuetze @schu.etze.co · 16/09/2026
Tell the USDA to Keep the Roadless Area Conservation Rule www.congressweb.com/GYC/31?frame...
congressweb.com
Tell the USDA to Keep the Roadless Area Conservation Rule
The U.S. Department of Agriculture wants to eliminate the 25-year-old Roadless Area Conservation Rule—one of America’s most successful and broadly supported conservation measures. This rollback threat...
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Brendan Schuetze @schu.etze.co · 06/09/2026
Come to Salt Lake, amazing quality of life in a top tier research university (and despite what google will tell you the metro area is not just 200k people)!
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Alexander Chee @alexanderchee.bsky.social · 04/09/2026
My colleague @jeffsharlet.bsky.social has been asking his students to tell him about their AI usage anonymously. www.chronicle.com/article/my-s...
chronicle.com
Opinion | My Students Hate AI. But They Can’t Stop Using It.
Big Tech has gotten them addicted to cheating, and they’ve internalized the blame.
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Jay Van Bavel, PhD @jayvanbavel.bsky.social · 19/08/2026
Using AI helps people get higher grades and get their work done faster, but they learn less & suffer on actual exams I saw this in my own large Intro Psych class: -the exam average is 85% -after AI, it shot up to 95% -after I made the final in person it went to 68% www.economist.com/graphic-deta...
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Chelsea Parlett @chelseaparlett.bsky.social · 31/05/2026
Y’all don’t think about experimentation enough
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Brendan Schuetze @schu.etze.co · 27/05/2026
Of all my contributions to science, perhaps the one I'm most proud of is making the patch notes for the psych package!
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Brendan Schuetze @schu.etze.co · 26/05/2026
Memorial day weekend on mirror lake highway, Utah side
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Brendan Schuetze @schu.etze.co · 08/05/2026
Excuse the assumption, but I'm just gonna to gather that Canvas simply doesn't have an "unplanned maintenance" splash screen for situations like this
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Brendan Schuetze @schu.etze.co · 06/05/2026
Great conversation on the future of @psyarxivbot.bsky.social during today's @improvingpsych.org hackathon! Thanks for taking the lead @drhelenapaterson.bsky.social and Anna Butters! Also nice to see @epronizius.bsky.social after reading so many slack messages in the moderation channel! #SIPS2026
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Lisa DeBruine @debruine.bsky.social · 06/05/2026
I’m at the @improvingpsych.org online conference at a session about #PsyArXiv moderation, which switched from a post-moderation system (DOI assigned before moderation) to a pre-moderation system in 2025 for reasons that should be apparent on this plot.
Graph of new submissions by month from 2017 to 2026. Submission increased a bit in 2020 and doubled again in 2025.
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Brendan Schuetze @schu.etze.co · 06/05/2026
uh guys.... when did ChatGPT image generation get this good?
Illustrated infographic comparing the main panes of RStudio to parts of a steam train. A coal car on the left is labeled “Source Pane — The Coal,” explaining that code written in the source pane acts as fuel. The central steam engine is labeled “Console — The Engine,” representing where code is executed and computation happens. Dark smoke billowing from the smokestack is labeled “Environment Pane — The Exhaust,” symbolizing the objects, plots, and outputs created after running code. Handwritten annotations point to each section with phrases like “Write it here,” “Work happens here,” and “What comes out and lingers.” A bottom summary panel visually reinforces the workflow: code is written in the source pane, processed in the console, and results appear in the environment. The overall style is playful, educational, and vintage-inspired, with muted colors and a pastoral landscape background.
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Dan Garisto @dangaristo.bsky.social · 05/05/2026
But not all directorates are getting grants out the door. SBE is still stuck at 2 (two) new grants and STEM Education isn't much further along.
STEM Edu shows 14 grants—usually between 200-350 by this time.SBE still shows 2 grants. Usually 200-300
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Brendan Schuetze @schu.etze.co · 04/05/2026
This should be national news. The mere fact that a single data center anticipated to use 2x the total amount of electricity currently consumed by entire state of Utah can be built based on the yea/nay vote of three county commissioners is absolutely wild
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Society for the Improvement of Psychological Science (SIPS) @improvingpsych.org · 29/04/2026
Register for #SIPS2026 Online and join us to work together on improvements in psychological science during the conference's hackathons. 🤝 Check out the hackathons listed below, choose those that align with your interests, register, and join us online on May 6-7! www.improvingpsych.org/SIPS2026/
improvingpsych.org
SIPS 2026 – Online May 6-7 || DC June 8-10, 2026
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Brendan Schuetze @schu.etze.co · 28/04/2026
Wall of Sound, but it's me and five Echo dots in my 1br
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Pam Davis-Kean, PhD @umpamdk.bsky.social · 03/04/2026
The NSF 2027 budget has noted that they will close out the Social, Behavioral, and Economic Science Program (SBE). This is not a good thing. nsf-gov-resources.nsf.gov/files/FY-202...
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Brendan Schuetze @schu.etze.co · 01/04/2026
So cool to see this out in print after helping to collect the data 5 years ago!
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Brendan Schuetze @schu.etze.co · 16/03/2026
Me: "R's not magic, you just need to read the documentation" Meanwhile, R...
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Brendan Schuetze @schu.etze.co · 23/02/2026
Fantastic, surely what everyone wanted: student-out-of-the-loop learning
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Elise Wang @elisewang.bsky.social · 16/02/2026
I propose to make universal the old policy of the Blackfriars conference at the American Shakespeare Center: If you do not end your paper on time, you will be forced to exit, pursued by a bear. Literally, a bear will come take your paper from you.
The organizer, introducing the bear on stageA tardy speaker, trying to fend off the bear as he/she leans forward patiently.
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Ryan Briggs @ryancbriggs.net · 11/02/2026
I have a new paper. We look at ~all stats articles in political science post-2010 & show that 94% have abstracts that claim to reject a null. Only 2% present only null results. This is hard to explain unless the research process has a filter that only lets rejections through.
It must be very hard to publish null results
Publication practices in the social sciences act as a filter that favors statistically significant results over null findings. While the problem of selection on significance (SoS) is well-known in theory, it has been difficult to measure its scope empirically, and it has been challenging to determine how selection varies across contexts. In this article, we use large language models to extract granular and validated data on about 100,000 articles published in over 150 political science journals from 2010 to 2024. We show that fewer than 2% of articles that rely on statistical methods report null-only findings in their abstracts, while over 90% of papers highlight significant results. To put these findings in perspective, we develop and calibrate a simple model of publication bias. Across a range of plausible assumptions, we find that statistically significant results are estimated to be one to two orders of magnitude more likely to enter the published record than null results. Leveraging metadata extracted from individual articles, we show that the pattern of strong SoS holds across subfields, journals, methods, and time periods. However, a few factors such as pre-registration and randomized experiments correlate with greater acceptance of null results. We conclude by discussing implications for the field and the potential of our new dataset for investigating other questions about political science.
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Thomas Lumley @tslumley.bsky.social · 04/02/2026
There's more than one way to do it: Perl, R, Stan There's exactly one way to do it: Python, BUGS There's at most one way to do it: SPSS, SAS
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John Garver @geogarver.bsky.social · 02/02/2026
Lead (Pb) in archived hair in Salt Lake City. "Lead (Pb) in archived hair documents a decline in lead exposure to humans since the establishment of the US Environmental Protection Agency " www.pnas.org/doi/10.1073/...
Pb concentration by decade in hair from Salt Lake City region residents. Value plotted for 1940 includes all samples from 1916 to 1959; value plotted at 2022 includes all samples from 2020 to 2024.
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Derek Bruff @derekbruff.bsky.social · 23/01/2026
So UT-Austin is committed to "undergraduate research, faculty support, advising," but it's closing the offices and centers that do that work? Um, what? www.chronicle.com/article/ut-a...
chronicle.com
UT-Austin Is Closing Its Teaching Center. Faculty Members Ask: Why?
A series of shutdowns announced by the provost are short on detail. Professors say they make little sense.
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Nicole McNeil @nicolemmcneil.bsky.social · 18/01/2026
We invite apps for our postbac fellowship in educational research and action. Postbacs engage in research on learning & learning environments, receive close mentorship from scholars across disciplines, and gain hands-on experience through community-based programs. See cladlab.nd.edu/era-fellowsh...
cladlab.nd.edu
Era Postbac Fellowship | CLAD Lab | University of Notre Dame
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Brendan Schuetze @schu.etze.co · 16/01/2026
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Brendan Schuetze @schu.etze.co · 12/01/2026
Am I understanding this right that IES restricted use data is currently unavailable for any new projects? Please tell me I'm missing something 😰
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Eiko Fried @eikofried.bsky.social · 07/01/2026
After 5 years of data collection, our WARN-D machine learning competition to forecast depression onset is now LIVE! We hope many of you will participate—we have incredibly rich data. If you share a single thing of my lab this year, please make it this competition. eiko-fried.com/warn-d-machi...
eiko-fried.com
WARN-D machine learning competition is live » Eiko Fried
If you share one single thing of our team in 2026—on social media or per email with your colleagues—please let it be this machine learning competition. It was half a decade of work to get here, especi...
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Brendan Schuetze @schu.etze.co · 24/12/2025
A new Christmas present for all those who celebrate, an article on multiple text comprehension in @edpsychjournal.bsky.social from @nashb.bsky.social @allisonzengilowski.bsky.social, me, and Diane Schallert!
Screenshot of article page from Educational Psychologis titled "Multiple text comprehension in contemporary contexts: Integrating broader understandings of affect, culture, and technology"
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Institute for Replication @i4replication.bsky.social · 11/12/2025
We're thrilled to open registration for our 1st 2026 Replication Games. The event will be at the University of Zurich on January 19th. Psych, public health, pol sci and econ studies will be reproduced! Register here: www.surveymonkey.ca/r/Replicatio...
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Brendan Schuetze @schu.etze.co · 11/12/2025
They. Said. It. Was. Fake.
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Brendan Schuetze @schu.etze.co · 11/12/2025
Happy to be hosting incoming One-U Responsible AI Postdoctoral Fellow Mingjia Hu along with @anamarasovic.bsky.social (U of U School of Computing) and Chenglu Li (Ed Psy)!
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Humanities & Social Sciences @hss.springernature.com · 28/11/2025
How do emotions shape what you learn when facing misinformation? A new study reveals how curiosity, confusion, and other emotions drive knowledge revision. Read the full ‘Behind the Paper’: bit.ly/4r5dHyi. #EducationalResearch #PsychSciSky @yilunjheng.bsky.social @leencatrysse.bsky.social
How do emotions experienced in the moment shape what you learn, especially when confronted with misinformation?
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Roland Hatzenpichler @environmicrobio.bsky.social · 14/11/2025
“The prohibited activities would include joint research, co-authorship on papers, and advising a foreign graduate student or postdoctoral fellow. The language is retroactive, meaning any interactions during the previous 5 years could make a scientist ineligible for future federal funding.”
science.org
U.S. Congress considers sweeping ban on Chinese collaborations
Researchers speak out against proposal that would bar funding for U.S. scientists working with Chinese partners or training Chinese students
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Kristoffer Magnusson @rpsychologist.com · 28/10/2025
New release of PowerLMM.js! Browser-based power analysis for longitudinal models with dropout. Now includes: - Power analysis summary report - Reproducible & shareable configs (URL/JSON) - Calculations validated against R - Hypothesis region visualization powerlmmjs.rpsychologist.com
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Björn Siepe @bsiepe.bsky.social · 22/10/2025
We built the openESM database: ▶️60 openly available experience sampling datasets (16K+ participants, 740K+ obs.) in one place ▶️Harmonized (meta-)data, fully open-source software ▶️Filter & search all data, simply download via R/Python Find out more: 🌐 openesmdata.org 📝 doi.org/10.31234/osf...
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Brendan Schuetze @schu.etze.co · 20/10/2025
Most weeks, I read through my Canvas course discussion board on Sundays for class on Monday evening. But of course this week, I decided to wait until Monday, and now Canvas has crashed beyond all imagination 😐
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Brendan Schuetze @schu.etze.co · 13/10/2025
Someone made an AI slop podcast of one of my papers and uploaded it to youtube?? www.youtube.com/watch?v=niH0...
youtube.com
A Computational Model of School Achievement #836
YouTube video by Philosopher Friends
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Ted McCormick @tedmccormick.bsky.social · 12/10/2025
Shared courtesy of my Penn History colleague, Ben Nathans
Image: A variation on Benjamin Franklin’s “Join, or Die” engraving, originally published in the Pennsylvania Gazette in 1754. Each segment of the snake has the name of a university sent Trump’s “compact”: Texas, AZ, Vanderbilt, USC, Dartmouth, UVA, Brown, Penn, MIT.
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Brendan Schuetze @schu.etze.co · 12/10/2025
Weekends like this are why I love college football
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Brendan Schuetze @schu.etze.co · 29/09/2025
no…
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BMC @bmc.springernature.com · 25/09/2025
A Systematic Review in BMC Psychiatry finds that indoor rock climbing, particularly bouldering (combined with mindfulness exercises), can be an effective, and safe, adjunctive intervention for adults with moderate depression. Further studies are warranted. #MedSky #PsychSciSky
bit.ly
Effectiveness of indoor rock climbing and bouldering as treatment for depression – a systematic review - BMC Psychiatry
Introduction Depression is one of the most prevalent disorders worldwide. In addition to psychotherapy, cognitive behavioural therapy and antidepressants, exercise therapy is frequently recommended, with emerging evidence highlighting the unique characteristics of rock climbing, including its potential to promote mindfulness, making it a promising therapy. This review aimed to assess whether rock climbing reduces symptoms of depression, the magnitude of effect, and whether effects are sustained long-term. Methods Systematic review conducted according to PICO framework and reported according to PRISMA-statement. Eligible studies were controlled trials assessing indoor rock climbing versus any comparator, including adults with moderate depression, with symptoms reduction on validated depression scales as outcome. Systematic searches were conducted in PubMed, Scopus, and Web of Science (inception to January 2025), with no language or publication date restrictions. Screening (via Rayyan), data extraction, and methodological quality assessment (using PEDro scale) were performed independently and in duplicate. Clinical relevance was assessed using minimal clinically important difference (MCID). Due to heterogeneity of interventions and comparators, findings were narratively synthesized. Certainty of evidence was rated using GRADE. Results Out of 1,832 identified records, seven studies (reported in 10 articles) including 471 participants, met PICO-criteria. Included studies were conducted between 2015 and 2023, in Germany/Austria. Methodological quality was generally good (median PEDro score 6/10). Indoor bouldering (combined with mindfulness exercises) significantly reduced symptoms of depression from moderate to mild (e.g. -8.3 points on MADRS, exceeding MCID of 5 points), indicating a clinically meaningful improvement compared to no intervention (high certainty evidence). Longer duration interventions (8–10 weeks) were needed for effects to persist at 6–12 months (high certainty evidence). Four weeks of top-rope climbing also reduced symptoms of depression from moderate to mild, were sustained long-term, but did not exceed MCID (low certainty evidence). No adverse events were reported. Conclusions Indoor rock climbing, particularly bouldering (combined with mindfulness exercises), appears to be an effective, clinically meaningful, safe, and sustainable adjunctive intervention for adults with moderate depression. However, further high-quality trials are needed to isolate the effects of rock climbing from co-interventions and to compare it with established treatments such as antidepressants and aerobic exercise. Trial registration PROSPERO: CRD42024468119, date of registration: 24-01-2024.
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Society for the Improvement of Psychological Science (SIPS) @improvingpsych.org · 11/09/2025
PsyArXiv's amazing team of 100+ moderators has now approved all preprints that meet the requirements outlined in the updated PsyArXiv policies (is.gd/paxpolicy). Thank you to everyone who volunteered, this was a true community effort! #PsychSciSky
is.gd
About PsyArXiv – PsyArXiv Blog
What is PsyArXiv? PsyArXiv (psychology archive) is an open preprint archive designed to facilitate rapid dissemination of psychological research. PsyArXiv is a creation of the Society for the…
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Katie Carmichael @drkatcarm.bsky.social · 11/09/2025
::slowly stands while clapping::
Image of labubu doll labeled labubu next to image of spiky labubu doll labeled lakiki
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The Salt Lake Tribune @sltrib.com · 10/09/2025
BREAKING: Multiple witnesses say right wing commentator Charlie Kirk was shot while speaking at Utah Valley University.
sltrib.com
Gunshot fired at UVU speech by right-wing commentator Charlie Kirk
A gunshot rang out at Utah Valley University on Wednesday during an appearance by right-wing political commentator Charlie Kirk.
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Brendan Schuetze @schu.etze.co · 03/09/2025
I missed the last three words of this tweet when I first read it, and I thought JB Pritzker was turning into General Lee for a second
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Society for the Improvement of Psychological Science (SIPS) @improvingpsych.org · 27/08/2025
Thanks to our amazing moderators working on this 24/7, we are now 50% done with the PsyArXiv backlog! 🎉 For all our PsyArXiv users, thank you for your patience. If you would like to help us, here are some tips to help your next preprint sail through moderation: #PsychSciSky
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Brendan Schuetze @schu.etze.co · 27/08/2025
Possibly the most influential psychology study of the last decade?
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Julia M. Rohrer @dingdingpeng.the100.ci · 25/08/2025
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.
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