Hey friends, my new paper was just published in JAMA Psychiatry. I draw on biological species classification to sketch a new framework for psychiatric nosology.
Brief summary follows below.
Full text link: jamanetwork.com/journals/jam...
🧪 #PsychSciSky #MentalHealth
Check out the great program of the *1st Interdisciplinary Symposium on Meta Science for Methods Research* organized 31 August and 1 September in Zürich! Ton of cool speakers and meta-methodological reseach!
crsuzh.pages.uzh.ch/msmr/program/
(registration still open)
jamanetwork.com
This narrative review explores the idea of understanding mental disorders according to homeostatic property clusters rather than through typical classification systems.
Dr. Mihai Constantin, Prof. Dr. Jeroen Vermunt, and I are looking for a motivated PhD candidate for the project: "Dynamic Mixture Modeling for Intensive Longitudinal Data". tiu.nu/23934 Please share this vacancy with anyone who might be interested!
Using (multilevel) VAR models? Ever checked how well they actually fit your data? @jmbh.bsky.social & I created VARcheck, an R package for visual model checking for VAR models.
Blogpost with workflow: bsiepe.github.io/blog/2026-05...
📝Paper: doi.org/10.31234/osf...
💻Docs: bsiepe.github.io/VARcheck/
Hear more about model checking, hidden Markov models, predicting dropout & using dynamic network features at our #APS26BCN symposium on "New Developments In Psychological Time Series Modeling".
👥 @fridtjofptrsn.bsky.social, Emmeke Aarts, @jmbh.bsky.social & me.
📍Friday, 17:30, Room M213
Postdoc position @unimarburg.bsky.social in the project:
"Bridging the Gap Between Verbal Psychological Theories & Formal Statistical Modeling with Large Language Models" (funded by @volkswagenstiftung.de)
📅Start: 01.10.2026 |⏳3 years
🔗 Job posting: uni-marburg.de/78NrWT
Thanks for sharing!
We had the privilege of hosting @bsiepe.bsky.social for this talk on the openESM database! 🎉✨ If you couldn't make it to the talk, you can now view the recording on YouTube: www.youtube.com/watch?v=6HPn...
#ESM #openscience #rstats #intensivelongitudinaldata
tiu.nu
Congrats! 9 psychological researchers joined the 3rd cohort of APS Editorial Fellows #AcademicSky
@bsiepe.bsky.social, @laura-j-botzet.bsky.social, @corinnecarlton.bsky.social, @hghwang.bsky.social, @eikekofi.bsky.social, @mjbalezina.bsky.social, Peejay Bengwasan, Jin Li, Christopher Osterhaus
A new paper for my PhD has been published! In psychology, the default for studying the ubiquitous explanation ‘it-depends’ is the use of an interaction/moderator. This default creates tension between theory and model, yielding false positives and negatives. doi.org/10.1007/s421...
APS welcomes nine psychological researchers to the third cohort of APS Editorial Fellows.
Conditional effects, or interaction effects, do not imply multiplicative effects. However, product terms are the default method for modeling such conditional effects in psychological research. As a result, theoretically plausible conditional effects may go undetected when the functional form is misspecified. Our study had two objectives: (1) evaluate the extent to which non-linear phenomena can be identified as spurious multiplicative (i.e., standard) interaction terms in linear models, (2) assess how well linear models capture stepwise conditional effects. In Study 1, we examined spurious interactions from non-linear main effects. We found that traditional interaction terms were associated with increased Type-I error rates and small effect sizes. Importantly, this was also the case when the predictors were uncorrelated, indicating a mechanism beyond collinearity. Additionally, we found that, if captured, the spurious interaction effects did reduce prediction error on the population level. In Study 2, we simulated genuine conditional effects, following a stepwise pattern. When effects were monotonic, product terms performed adequately, however if the conditional effect is non-monotonic a traditional interaction term in a linear model does not sufficiently capture such an effect. We conclude that relying solely on traditional interaction terms in linear models can be misleading and the failure to replicate interaction effects may partly reflect a specification crisis: Researchers default to one functional form (multiplication) while the underlying theory may dictate a different form, creating a systematic mismatch between theory and model. To validly investigate conditional effects, researchers should specify and justify the expected functional form a priori.
🔊 ❗We are excited to be collaborating with Björn Siepe @bsiepe.bsky.social for a new free upcoming talk on openESM! The talk will be “Introducing openESM: A Database of Openly Available Experience Sampling Datasets.” Check out the flyer for more details.
✨Register now: forms.gle/2W2Mhh5V2vvY...
