Leonie Vogelsmeier
@leonievogelsmeier.bsky.social
1K followers 120 following 30 posts
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/
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leonievogelsmeier.bsky.social
Amazing! Congratulations, Omid! 🎉
leonievogelsmeier.bsky.social
As additional spotlight: what I meant was the other work by @jmbh.bsky.social together with Anja Ernst: osf.io/preprints/ps...
"Modeling Qualitative Between-Person Heterogeneity in Time-Series using Latent Class Vector Autoregressive Models"
Thus, lots of novel ESM methods (even in R) to dive into!
OSF
osf.io
leonievogelsmeier.bsky.social
Grateful for the collaboration with our huge team @bsiepe.bsky.social, Esther Ulitzsch, @gudruneisele.bsky.social, Joran Geeraerts, Adam Klocek, Ricarda K. K. Proppert, Carlotta Rieble, Rayyan Tutunji, @dejonckheeregon.bsky.social, Peter Kuppens, and @eikofried.bsky.social
leonievogelsmeier.bsky.social
🚨 New preprint: We compared 13 methods for detecting momentary careless responding in the WARN-D data (206k+ obs.). Tutorials guide you through each method. The takeaway? Diverging results, inherent subjectivity (to varying degrees), and a clear need for further validation.
osf.io/preprints/ps...
OSF
osf.io
leonievogelsmeier.bsky.social
New paper: In the context of self-regulated learning, if LLMs reliably simulated survey responses, they could be used to test interventions, refine theoretical models, & augment sparse datasets; but the psychometric validity of the responses depends on the LLM. www.sciencedirect.com/science/arti...
Delving Into the Psychology of Machines: Exploring the Structure of Self-Regulated Learning via LLM-Generated Survey Responses
Large language models (LLMs) offer the potential to simulate human-like responses and behaviors, creating new opportunities for psychological science.…
www.sciencedirect.com
Reposted by Leonie Vogelsmeier
bsiepe.bsky.social
I'm excited that our preregistration template for simulation studies is now available on OSF!
See below for a brief interview with the Center for Open Science about the template and why we created it..
Reposted by Leonie Vogelsmeier
xinkaidu.bsky.social
Thrilled to share that this paper has now been published on Psychological Methods. See 🧵 below for an intro & shinyapp to view the results, as well as non-paywalled version. dx.doi.org/10.1037/met0...
Reposted by Leonie Vogelsmeier
michelenuijten.bsky.social
📣New Preprint Alert!

Esther Maassen meticulously simulated the effect of p-hacking and publication bias on effect size & heterogeneity estimates.

💡bad: selective outcome reporting & optional dropping
💡bad: publication bias
💡not so bad: optional stopping/outlier removal

osf.io/preprints/ps...
OSF
osf.io
Reposted by Leonie Vogelsmeier
anabelbuechner.bsky.social
Self-control in daily life is more than willpower — but how well do commonly used trait scales capture this recent, broader view on self-control?

New preprint with @kaihorstmann.bsky.social & @mhennecke.bsky.social: osf.io/preprints/ps...
Short summary below.
OSF
osf.io
leonievogelsmeier.bsky.social
New preprint🤓 LLMs have great potential in the educational context! If LLMs reliably simulate survey responses, they could be used to test intervention scenarios, represent hard-to-reach populations, etc. But are generated survey responses psychometrically valid? It depends. arxiv.org/abs/2506.13384
Delving Into the Psychology of Machines: Exploring the Structure of Self-Regulated Learning via LLM-Generated Survey Responses
Large language models (LLMs) offer the potential to simulate human-like responses and behaviors, creating new opportunities for psychological science. In the context of self-regulated learning (SRL), ...
arxiv.org
Reposted by Leonie Vogelsmeier
ruben.the100.ci
Join me at the University of Witten/Herdecke for research on meta scientific topics, replication work or other fun things :-) as well as teaching some IMO wonderful students
short.sg/j/56902143
Reposted by Leonie Vogelsmeier
aneubauer.bsky.social
📢Job ad
Postdoc position (full-time, 3 years) in the DFG project Reliability in Intensive Longitudinal Data in Aachen (topics: psychometrics, intensive longitudinal data / ambulatory assessment data)
www.rwth-aachen.de/go/id/kbag/f...
Application deadline is June 16
Research Assistant/Associate - Postdoc (f/m/d) - RWTH AACHEN UNIVERSITY - English
www.rwth-aachen.de
Reposted by Leonie Vogelsmeier
janfailenschmid.bsky.social
I’m really excited to share that our first article has been published in the Br. J. Math. Stat. Psychol. doi.org/10.1111/bmsp...

In this paper, we evaluate and compare different non-parametric approaches for modeling non-linearity in psychological intensive longitudinal data.
British Journal of Mathematical and Statistical Psychology | Wiley Online Library
Psychological concepts are increasingly understood as complex dynamic systems that change over time. To study these complex systems, researchers are increasingly gathering intensive longitudinal data...
doi.org
leonievogelsmeier.bsky.social
We still enjoyed your recorded presentation very much, Jonas! The code is incredibly useful for EMA research.
leonievogelsmeier.bsky.social
Our special issue on person-specific analytics is now complete and available in the journal Learning and Individual Differences ✅ Thanks for having me as a guest editor Mohammed Saqr and Samuel Greiff!
Our editorial is available here: lnkd.in/dSqB9ehS
and the full issue here:
lnkd.in/dEW3zdi5
LinkedIn
This link will take you to a page that’s not on LinkedIn
lnkd.in
Reposted by Leonie Vogelsmeier
lauramkoenig.bsky.social
I very much appreciate @leonievogelsmeier.bsky.social's openness about challenges in studying markers for careless responding and how to address them live while collecting data - among them lots of issues in dealing with participants' digital footprints #SAA2025
leonievogelsmeier.bsky.social
Thank you very much, Laura:-)
Reposted by Leonie Vogelsmeier
joranjongerling.bsky.social
🚨 PhD Job Alert/PhD Vacature🚨

English:
Come work with Katrijn Van Deun, Katharina Loter, and me on "SEM2.0" in Tilburg!

Nederlands:
Kom met Katrijn Van Deun, Katharina Loter, and mij werken aan "SEM2.0" in Tilburg!

www.academictransfer.com/nl/jobs/3514...
PhD candidate On the next generation of structural equation modelling tools
We are looking for looking for PhD candidate in Methodology and Statistics On the next generation of structural equation modelling tools
www.academictransfer.com
Reposted by Leonie Vogelsmeier
eikofried.bsky.social
Folks, universities here are have decided to cut international psychology programs, which will be devastating to psychological science in the Netherlands.

Please consider signing this open letter on behalf of my colleagues and me; anybody can sign.

openletter.earth/against-lang...
Against Language Barriers: A Call to Protect International Education in Dutch Academia
openletter.earth
Reposted by Leonie Vogelsmeier
briannosek.bsky.social
An open letter supporting the international bachelor’s psychology programs threatened for cuts. Proceeding with these cuts would damage some of the most important and impactful psychology departments globally. #supportdutchpsychology

openletter.earth/against-lang...
Against Language Barriers: A Call to Protect International Education in Dutch Academia
openletter.earth
Reposted by Leonie Vogelsmeier
cjvanlissa.bsky.social
I'm hiring a PHD candidate in Machine Learning-Informed Formal Theory Construction. Please encourage talented students to apply, or reach out if you want to collaborate. Looking for machine learning, theory development, and programming skills, and interdisciplinary interests! See tiu.nu/22752
Job opening: PhD candidate in Machine Learning-Informed Formal Theory Construction (22752)
tiu.nu
Reposted by Leonie Vogelsmeier
bsiepe.bsky.social
Can we use features of dynamic networks (e.g. centrality) to improve treatment selection and outcome prediction?

New preprint on the topic: We highlight the role of uncertainty & introduce a Bayesian multilevel approach for uncertainty quantification of network features 🧵
osf.io/preprints/ps...
Image with three main boxes with recommendations for applied researchers on conceptualization, estimation, and interpretation when using network features. 
Conceptualization:
- Discuss why a network feature should be relevant for a given treatment or outcome
- Consider plausible effect size and sample size needed to detect an association with a distal outcome

Estimation:
- Carefully choose preprocessing and network estimation methods
- Follow good practices for predictive models (e.g., cross-validation, out-of-sample validation)

Interpretation: 
- Consider uncertainty in node selection and network feature regression
- Compare network features with simpler time series features (e.g., person-specific mean or SD)