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Teague Henry

@teaguerhenry.bsky.social
270 followers 430 following 60 posts

Asst Prof @ UVA Psychology and School of Data Science. Networks, neurons, and complex systems models of psychopathology.

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Teague Henry @teaguerhenry.bsky.social · 15/01/2026
Hello all! I’m recruiting a postdoc to work with my lab and I on methods for analyzing intensive longitudinal timeseries of psychological phenomena, with particular focus on measurement and optimization of interventions! Start would be August 2026
jobs.virginia.edu
Research Associate in Psychology in Charlottesville, Virginia, United States of America | Research at University of Virginia
Apply for Research Associate in Psychology job with University of Virginia in Charlottesville, Virginia, United States of America. Research at University of Virginia
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Teague Henry @teaguerhenry.bsky.social · 29/05/2025
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Teague Henry @teaguerhenry.bsky.social · 01/05/2025
"PLEASE read the title"
media.tenor.com
a man with a beard is saying no in a blurry photo
ALT: a man with a beard is saying no in a blurry photo
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Teague Henry @teaguerhenry.bsky.social · 30/04/2025
Yes! I tell my class that regression coefficients are the "unique" relationships of a variable. If variables are not "unique", there is less information available to make the SEs "smaller." It's always either multicollinearity or normality assumptions that you've got to disabuse students of!
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Will Lowe @conjugateprior.org · 29/04/2025
Parameters aren't real.
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Teague Henry @teaguerhenry.bsky.social · 17/04/2025
Wait, you're telling me that a study in 20 children with ADHD showing an increased correlation between 2 arbitrarily defined brain regions doesn't represent a paradigm shift in how we could treat ADHD with respect to possible targeted pharmaceuticals?
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Margaret Mitchell @mmitchell.bsky.social · 09/04/2025
The one simple trick to avoid > 75% of bad uses of AI that AI ethicists don't want you to know! Read a science fiction book and if your goal aligns with the bad guys in that book don't do it. -- Credit @stellaathena.bsky.social on the Bad Site.
Gif of police officer, dramatic high contrast lighting, looking confused and asking, "Are we the baddies?"
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Teague Henry @teaguerhenry.bsky.social · 08/04/2025
I mean, why do journals give due dates on RRs if not to encourage us to submit at the very last second?
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Teague Henry @teaguerhenry.bsky.social · 26/03/2025
Me, moments before I unknowingly hit reply all on the faculty listserv: "We are currently clean on OPSEC"
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Teague Henry @teaguerhenry.bsky.social · 25/03/2025
Homebrew warlock patron "The P-factor" that lets you summon and bind fiends by drawing path diagrams for multi-level SEMs. At level 17 you gain the ability to measure constructs ... without error!
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Crystal Lewis @cghlewis.bsky.social · 23/03/2025
In 2018 I gave a presentation on research data management to a group of graduate students. Not surprisingly, most of the problems and solutions I discussed 7 years ago, are still the same problems and solutions I see today. #databs
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UVA Department of Psychology @uvapsychology.bsky.social · 18/03/2025
🧠 Applying to Psychology PhD programs? Join @UVA's virtual panel April 14 at 12:30PM! Current faculty & PhD students will share tips on choosing programs & creating competitive applications. All welcome, especially those from underrepresented groups. Register via QR code! #PsychPhD #GradSchool
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dennyborsboom.bsky.social @dennyborsboom.bsky.social · 18/02/2025
This year I have the honour of serving the Psychometric Society as its President, and we have been working hard on the program for the International Meeting of the Psychometric Society (IMPS) psychometricsociety.org/imps-2025 You can submit an abstract here: imps2025.exordo.com
psychometricsociety.org
IMPS 2025 - Psychometric Society
July 15-18, 2025 (Short Courses July 14)
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McSweeney's @mcsweeneys.net · 15/02/2025
"You want to stop, but the amount of time and energy you’ve put into this makes it hard to quit."
buff.ly
Elden Ring or Tenure-Track Professor?
1. You’ve invested an enormous amount of time and energy, and you still have no idea what is happening. 2. Everybody you meet speaks in half riddle...
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Eiko Fried @eikofried.bsky.social · 13/02/2025
1/3 Tutorial on exploring ecological momentary assessment data is online at AMPPS, with: - Accessible ways to visualize data for better understanding - Models to get some first insights - Further reading boxes for more advanced topics - Reproducible pipeline you can run over your own data
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Jonas Haslbeck @jmbh.bsky.social · 13/02/2025
New preprint by Anja Ernst and me on Modeling Qualitative Between-Person Heterogeneity in Time-Series using Latent Class Vector Autoregressive Models (osf.io/preprints/ps...)
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Teague Henry @teaguerhenry.bsky.social · 11/02/2025
... to use human raters to reconcile any ambiguities. I think this is fascinating work, and a great example of how to use LLMs as a true tool for analyzing data (rather than just asking an LLM to analyze data). Joy is currently working on an extension to discover new topics, which is very exciting!
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Teague Henry @teaguerhenry.bsky.social · 11/02/2025
We found that ensembles of small LLMs tended to have reasonable (better than chance) performance at identifying topics. It wasn't perfect, but it is good enough to be a reasonable first pass through a large dataset. The idea is to first identify the cases that are easy to classify, then...
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Teague Henry @teaguerhenry.bsky.social · 11/02/2025
We compared the LLM topics to human raters topics. Now, importantly, Joy used an ensemble of LLMs (equivalent to having several human raters). Why? Well, we wanted for this method to be able to run locally, as there are a number of privacy issues with using consumer LLMs to analyze health data.
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Teague Henry @teaguerhenry.bsky.social · 11/02/2025
She applied this method to both a massive dataset of Reddit posts from eating disorder related forums, and a smaller dataset of free-text responses from patients with eating disorders (courtesy of @cherilev.bsky.social), and compared how well these LLMs could identify a prespecified set of topics.
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Teague Henry @teaguerhenry.bsky.social · 11/02/2025
So, Joy decided to use LLMs to query free-text data to extract "topics." For example, if a study collected responses regarding stressful events, then a topic might be a description like "work stressor" or "interpersonal stressor."
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Teague Henry @teaguerhenry.bsky.social · 11/02/2025
Enter LLMs! While I have a number of thoughts on LLMs that I won't get into here, for this project we conceptualized them as "tools that can comprehend free-text," with comprehension being akin to human reading comprehension (do LLMs comprehend? No, but they sure do seem like they do!)
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Teague Henry @teaguerhenry.bsky.social · 11/02/2025
Traditionally, this is done via teams of human raters. Researchers will put together groups of raters (usually grad students, possibly RAs) that will go through the free text responses and quantify them in some way. This takes an enormous amount of time and resources.
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Teague Henry @teaguerhenry.bsky.social · 11/02/2025
Free-text responses are a wonderful way of collecting nuanced information about any number of psychological phenomena, but the issue is, of course, that they are free-text responses. To perform quantitative analysis on them, you need to convert them into some set of numbers.
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Teague Henry @teaguerhenry.bsky.social · 11/02/2025
Can I interest y'all in a preprint in these trying times? My student Joy Qiu recently completed work on using ensembles of LLMs to perform coding of free text response data. A 🧵
arxiv.org
Ensemble of Large Language Models for Curated Labeling and Rating of Free-text Data
Free-text responses are commonly collected in psychological studies, providing rich qualitative insights that quantitative measures may not capture. Labeling curated topics of research interest in fre...
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Teague Henry @teaguerhenry.bsky.social · 08/02/2025
We originally thought about this project from an EMA perspective, trying to optimize for participant burden. So that’s where we are coming from!
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Teague Henry @teaguerhenry.bsky.social · 08/02/2025
To your second, I think this matters the most when only one/a couple questions per construct are asked. For a multi item scale, while I still want to see measurement errors of individual items, I don’t think the extra error induced by VAS would degrade wholistic scale performance.
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Teague Henry @teaguerhenry.bsky.social · 08/02/2025
Fortunately, it is an empirical question, and I would be happy with seeing that no, VAS doesn’t meaningfully degrade measurement! I just want to see the studies.
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Teague Henry @teaguerhenry.bsky.social · 08/02/2025
To your first question: yes, but different things matter more or less for measurement quality. For example, I wouldn’t think that a slight change in anchor language needs a revalidation (it could though!)
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Teague Henry @teaguerhenry.bsky.social · 08/02/2025
Found my new standard review comment
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Teague Henry @teaguerhenry.bsky.social · 08/02/2025
Folks who might be interested in our work! @kevinmking.bsky.social @aidangcw.bsky.social @cherilev.bsky.social @claireecusack.bsky.social @shirleybwang.bsky.social @klonskylab.bsky.social
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Teague Henry @teaguerhenry.bsky.social · 08/02/2025
So yeah, the jury is still a bit out on the use of VAS scales. It seems like they can work well, but in light of the potential measurement properties, we as a field need to do more work validating their use for specific scales. I'm definitely not comfortable with just changing an existing scale!
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Teague Henry @teaguerhenry.bsky.social · 08/02/2025
@jmbh.bsky.social and colleagues have this excellent paper osf.io/preprints/ps... comparing Likert and VAS scales in EMA, showing that VAS scales give higher magnitude correlations with trait measures.
osf.io
OSF
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Teague Henry @teaguerhenry.bsky.social · 08/02/2025
There has been some great work recently examining VAS scales in empirical data. Leonie Cloos (first author), @omidvebrahimi.bsky.social (last) and colleagues' work empirically looking at VAS in EMA studies.
osf.io
OSF
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Teague Henry @teaguerhenry.bsky.social · 08/02/2025
We strongly suggest that, if a scale is going to be converted into a VAS, then it needs to be revalidated using the VAS responses. After validation, one can directly compare the measurement error of the differing response types to see if it has increased.
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Teague Henry @teaguerhenry.bsky.social · 08/02/2025
What we are most concerned about is researchers taking a scale that has been validated with a given set of response options and changing it to a VAS version. If measurement error is related to number of response options, that means that scale validation is specific to the number of response options.
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Teague Henry @teaguerhenry.bsky.social · 08/02/2025
So what does this mean practically? Are we saying that we should reject modernity (VAS) and return to tradition (Likert)? No (though personally I am a skeptic about the use a VAS scales generally)...
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Teague Henry @teaguerhenry.bsky.social · 08/02/2025
So, we ran some simulation studies and found that yeah, if measurement error increases with the number of categories, then there is going to be an optimal number of response categories for a given scale, and that increasing beyond that point is going to lead to issues.
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Teague Henry @teaguerhenry.bsky.social · 08/02/2025
There is a big issue with the simulation studies of response category numbers: the ones we reviewed made the assumption that the number of response categories is independent of the measurement error of the scale. While from a technical side, this makes sense, this assumption is prima facie wrong.
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Teague Henry @teaguerhenry.bsky.social · 08/02/2025
Now the literature on this is mixed: Empirical studies have shown that optimal numbers of response categories are anywhere between 7 and ~30. Simulation studies have shown that measurement quality increases with the number of response categories up to a point, then it plateaus. BUT....
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Teague Henry @teaguerhenry.bsky.social · 08/02/2025
the additional "variance" due to having more response categories is not variation on the underlying construct, but rather pure measurement noise. So, we wanted to see what happened to the measurement properties of psychometric scales when the number of response categories was increased.
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Teague Henry @teaguerhenry.bsky.social · 08/02/2025
The crux of the theoretical argument is that there must be a resolution limit to how well humans can distinguish between response categories in psychological scales. This is really important, because if this resolution limit is exceeded (by having too many response categories), then...
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Teague Henry @teaguerhenry.bsky.social · 08/02/2025
Let's get let a little silly: What if we just asked people to rate their mood as a normally distributed variable? So, now, we have an infinite number of potential response options. Can a person be reasonably expected to distinguish between a mood of 1.2313213 and 1.2313214?
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Teague Henry @teaguerhenry.bsky.social · 08/02/2025
Okay, so far so good, but now let's increase the number of possible responses, from 7 to 10. Is it easier to distinguish between a 1 and a 2 when there are 10 options vs 7? How about when there are 100 options? How about when there are 1000, or 1 mil options?
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Teague Henry @teaguerhenry.bsky.social · 08/02/2025
Putting on our "human being thinking about thinking" hats for a minute: If I ask you to rate your mood on a 1-7 scale (real bad mood - real good mood), I think we would all agree that humans could distinguish between a "real bad mood" and a "bad mood." (i.e. we can distinguish between a 1 and a 2).
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Teague Henry @teaguerhenry.bsky.social · 08/02/2025
Related to the recent discussion on VAS measurement in EMA, my student Siqi Sun recently submitted some work we did on understanding the measurement properties of more traditional Likert scales vs. VAS scales: A 🧵
arxiv.org
Don't Let Your Likert Scales Grow Up To Be Visual Analog Scales: Understanding the Relationship Between Number of Response Categories and Measurement Error
The use of Visual Analog Scales (VAS), which can be broadly conceptualized as items where the response scale is 0-100, has surged recently due to the convenience of digital assessments. However, there...
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Dr. Cheri A Levinson @cherilev.bsky.social · 30/01/2025
Hiring alert!! Looking for a PhD level research scientist and a data manager! Come join us!
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Teague Henry @teaguerhenry.bsky.social · 30/01/2025
Raising my hand in a committee meeting: “this is more of a sabotage attempt than a question…”
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Teague Henry @teaguerhenry.bsky.social · 20/01/2025
My favorite journal going Open Access is not something I had on my 2025 list! Fantastic news!
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wint @dril.bsky.social · 14/01/2025
They cant get my data if i am Fully Dissolved in a bath tub full of sodium hydroxide
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