What a week! After 5 days, the #mitnb workshop has come to an end. We had a keynote on time scales and two workshops on careless responding and reliability. The central part of the workshops were the hackathons. We had super diverse hackathons, all designed to assess measurement in #ESM. (1/4)

1st day of #MITNB meeting at @tesc-tilburgu.bsky.social. Excited for the week ahead, where we'll tackle measurement issues in #ESM, e.g. modeling processes across timescales, building a formal theory on measurement, and evaluating statistical assumptions in #ESM data. Go teamwork <3

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...

Do you have ecological momentary assessment data and want to model between-group differences in the dynamics of psychological constructs in the presence of measurement non-invariance? Then check out the new preprint by Manuel, who presents a novel step-wise approach in R. osf.io/preprints/ps...

🚨 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...

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...

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..

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...

📣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...

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.

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

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

📢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

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.

New paper out on testing potential cognitive foundations of emotional granularity/emotion differentiation. In contrast to what we expected, we found no associations between executive functions and granularity. link.springer.com/article/10.1...

The first article by our PhD student @janfailenschmid.bsky.social is now published in the Br. J. Math. Stat. Psychol. doi.org/10.1111/bmsp... He evaluated non-parametric approaches and their applicability to modeling non-linear psychological processes in intensive longitudinal data #proudsupervisor

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

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

New article in MBR⭐: www.tandfonline.com/doi/full/10.... We show that latent Markov factor analysis (LMFA) can detect different types of careless responding in experience sampling data while also accounting for changes in attentive responding. With Esther Ulitzsch and @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...

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...

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...

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

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...

Interested in ESM but don’t know where to start? On Thursday May 22 we organize a workshop on how to design and analyze your ESM study! Register here: forms.office.com/e/2jUtLe2t2R. With @domimaciejewski.bsky.social, @dejonckheeregon.bsky.social, Marlies Houben @tilburg-university.bsky.social

👀 What an incredibly clear and intuitive article on the important topic of estimated versus true factor scores by Mijke Rhemtulla & Victoria Savalei www.tandfonline.com/doi/full/10....

🌟Soon out in Multivariate Behavioral Research: osf.io/preprints/ps... Latent Markov factor analysis (LMFA) is an effective tool for detecting different types of careless responding while accounting for violations of measurement invariance in experience sampling studies.

Soon in Psych. Assessment: Reducing Patient Burden in Experience Sampling Studies: A Simulation Study to Validate the Personalized Missingness Design osf.io/preprints/ps... Shared first-author work with @joranjongerling.bsky.social; in collaboration with the 3Ms (Schellekens, Bolsinova, van de Lee)

If you do ESM research, please fill out this Short ESM Survey on open-ended items. 🤓 You can fill it out even if you do not use open-ended items in your own ESM research (will be even shorter 😊) rug.eu.qualtrics.com/jfe/form/SV_... .

❗️Our next workshop will be on February 13th, 6 pm CET on Gaussian Process Regression in R and Stan by @janfailenschmid.bsky.social! Register or sponsor a student by donating to support Ukraine! Details: bit.ly/3wBeY4S Please share! #AcademicSky #EconSky #RStats

Just accepted at Clinical Psychological Science. In this study led by @juliejns2.bsky.social, we used data from the SIGMA study to look at the relationship between attachment, & loneliness & #SelfHarm thoughts & behaviours in #adolescents' daily lives. #SuicidePrevention #OpenScience #MentalHealth

New preprint in which we propose a beta mixture model for careless respondent detection in visual analogue scale data, led by Lijn Zhang; in collaboration with Benjamin Dominique and Esther Ulitzsch. www.researchgate.net/publication/...

🤓Latent GOLD licenses for academic use are now freely available on the website! www.statisticalinnovations.com/shop/lg-6-1-...

Scientists, academics, researchers: We’re excited to share that @altmetric.com is now tracking mentions of your research on Bluesky! 🧪

📣Our article presenting a novel mixture model for detecting dynamics in attentive and careless responding in intensive longitudinal data is now published by the Br. J. Math. Stat. Psychol. bpspsychub.onlinelibrary.wiley.com/doi/10.1111/... (shared first-authorship with Esther 😊)

Simulation studies are essential for methods research. How well are they conducted & reported? How can we improve their quality? Out now in Psychological Methods, see 🧵 below. With @fbartos.bsky.social, @timpmorris.bsky.social, @boulesteixlaure.bsky.social, @danielheck.bsky.social & Samuel Pawel

This article gives a phenomenal overview of the history and evolution of best practices in measurement invariance and differential item functioning -- I can't remember the last time I learned so much reading a single paper, highly recommended! www.tandfonline.com/doi/full/10....

📣Our article on detecting dynamics in attentive and careless responding in intensive longitudinal data (ILD) has been accepted by the Br. J. Math. Stat. Psychol. osf.io/preprints/ps... Fantastic news on the day of concluding a one-week workshop with the brightest minds to improve measurement in ILD🤓

Hi #LorMITNB forks, this may be useful of you want to follow other participants ; ) go.bsky.app/42Nh8oA

Amazing to see so many early career folks who care deeply about improving measurement of intensive longitudinal data #LorMITNB

Expert panel discussion on the use of qualitative and quantitative methods in EMA data #LorMITNB.

New Preprint! I’m excited to share our preprint titled: "Modeling Non-Linear Psychological Processes: Reviewing and Evaluating Non-Parametric Approaches and Their Applicability to Intensive Longitudinal Data." Check out the full preprint here: osf.io/preprints/ps... Any feedback is welcome! 1/3

🌟New preprint on using latent Markov factor analysis for detecting careless responding in intensive longitudinal data when the measurement model of the attentive responses is non-invariant. osf.io/preprints/ps... with @joranjongerling.bsky.social and Esther Ulitzsch

At the Department of Statistics at TU Dortmund University, Germany, we are currently looking for an open rank (tenured or tenure track) professorshop of Statistics in Engineering. For more details, visit euraxess.ec.europa.eu/jobs/244286

Now online: 📏 Assessing and Accounting for Measurement in Intensive Longitudinal Studies: Current Practices, Considerations, and Avenues for Improvement link.springer.com/article/10.1... (with @joranjongerling.bsky.social and Esther Maassen) #measurement #psychometrics #ESM

📐📏Happy to share that our article "Assessing and Accounting for Measurement in Intensive Longitudinal Studies: Current Practices, Considerations, and Avenues for Improvement" is accepted for publication (with @joranjongerling.bsky.social and E. Maassen) #teamscience #ESM osf.io/preprints/ps...

Our new article on evaluating (qualitative changes in) emotional granularity/differentiation in #ESM data led by Marcel Schmitt has now been published in MBR :-) www.tandfonline.com/doi/full/10....