Björn Siepe

We reviewed 100 psych. simulation studies & find room for improvement in planning/reporting. As a remedy, we (@BartosFra, @tmorris_mrc, @BoulesteixLaure, @Daniel_W_Heck & Samuel Pawel) present ADEMP-PreReg, a sim study preregistration & reporting template osf.io/ufgy6/

Have you run #simulation studies and encountered issues with missing results, failure, or non-convergence? In a new preprint by Samuel Pawel, @b_siepe & @annloh, we overview different approaches to address missingness and review current practices. arxiv.org/abs/2409.18527 #Stats

@QuantumRW It also seems to work to simply add a '?' at the end of the (broken) PDF URL

@shayanasadi_ This is a great resource for EMA data preprocessing: preprocess.esmtools.com

@peder_isager This paper (and references therein) could be helpful: Velozo et al. (2024). Designing daily-life research combining experience sampling method with parallel data (doi.org/10.1017/s00332…)

#EMA research community, which wearables do you use in your research? If I wanted to do longitudinal research on smart watch sensor data, what kind of smart watch can I use? Any tutorial papers written on how to set up wearables for EMA research?

@MatthewBJane I'm a big fan. The Zotero integration just feels like the perfect workflow for reading and annotating papers to me

@cogpsyc_eylul Great to hear, good luck to you! :)

@jpsnijder @abNeubauer @RWTH That sounds great, congratulations! 🥳

‼️ I am stoked to announce that I'll join @abNeubauer at @RWTH Aachen starting in October to work on reliability of intensive longitudinal data 📏⌛️ in a new 3-year post-doc position! Thank you Heidelberg; Hello Aachen!

@EikoFried You might know the paper, but for others reading this: There's a nice recent preprint on the topic in the context of discrete-time AR(1) models that clearly spells out the assumptions of different approaches osf.io/preprints/psya…

We have 4 equidistant timepoints per day in our EMA/ESM study. I'm not too familiar with DSEM in Mplus. Would you 1) create 2 empty night time points with 100% missings to have 6 equidistant timepoints overall, or 2) violate equidistance assumption? Thanks!

New preprint by @b_siepe & WARN-D team. We collected information on sleep, tiredness & stress with both EMA and sensor data, and try to find out to which degree these are associated contemporaneously in a large dataset (n~800) with many timepoints (t~360). Brief 🧵

@cbloetner Thanks for the kind feedback! :)

@JohnSakaluk Thank you! :)

@b_siepe Really awesome paper; looking forward to the updated preprint + final version

Just in time for conference season: Our paper on simulation studies in psychology was accepted at Psychological Methods! 🥳See the thread below for a summary, the updated preprint is available at doi.org/10.31234/osf.i…

@JuliaBeitner Thanks Julia 🙂

@b_siepe Congrats Björn, that's awesome! 🎉👏

@MarvinSchmittML thanks! :)

@b_siepe congrats!!

The 1st talk in Measurement & Reasoning is “Simulation Studies for Methodological Research in Psychology” by Björn Siepe @b_siepe mathpsych.org/presentation/1… #iccmpsyched

@jpsnijder @M_Steinhilber Congratulations! Wishing you all the best :)

Some Happy Personal News: Last Saturday I got married to my best friend, my partner, and fellow scientist @M_Steinhilber. It was such a lovely and perfect day! We couldn't be happier!

@DomMaciejewski @JamesSteeleII @NWOFunding @MetaMethodsPH @EikoFried @bringmann_laura That's weird, sorry for the hiccup! I can't reproduce the problem on my laptop and a colleague's laptop, so maybe it's a local Outlook issue (that's at least what a quick Google search suggests). I'll try to find out more

Should you use Likert or VAS for EMA research? In a new paper led by @jonashaslbeck & @AlbertoJover (last author @EatingLab), we assigned n~160 in a 2 week study to either 📏1-7 Likert or 🎚️1-100 Visual Analogue Scale and compared results using Bayesian multilevel models. Brief thread with results.

@MarvinSchmittML @LearnBayesStats I really enjoyed the episode!🙂As someone who's not super familiar with this line of research, it was a very nice and clear overview

✨ I had a blast on the @LearnBayesStats podcast 🧪 We talked about my research on amortized Bayesian inference (=neural nets for fast Bayes) 💭 I'm passionate about this promising field, but many open questions remain on reliability 🎧 Tune in and let us hear your thoughts!

@CharlesDriverAU @UZH_en Congratulations! 🎉

Happily, I just accepted a TT asst prof position @UZH_en Psych. Excited to have more scope to support (longitudinal) modelling,and stay in Zurich :) Positions available soon, curious to hear from anyone passionate about modelling -- fit,ML,AI,theory,applications,software, etc!