@b_siepe profile picture
Björn Siepe @b_siepe
Joined July 2020
  • Tweets 104
  • Following 270
  • Followers 334
12 Photos and videos
Pinned Tweet
Björn Siepe@b_siepe
31 Oct 2023
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/
summary of the ADEMP reporting structure

ALT summary of the ADEMP reporting structure

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František Bartoš@BartosFra
30 Sep 2024
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
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Eiko Fried@EikoFried
4 Jul 2024
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 🧵
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Björn Siepe@b_siepe
20 Jun 2024
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.io/ufgy…

Björn Siepe@b_siepe
31 Oct 2023
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/
summary of the ADEMP reporting structure

ALT summary of the ADEMP reporting structure

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Björn Siepe retweeted
Society for Mathematical Psychology@socmathpsych
16 Jun 2024
The 1st talk in Measurement & Reasoning is “Simulation Studies for Methodological Research in Psychology” by Björn Siepe @b_siepe mathpsych.org/presentation/1… #iccmpsyched
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Eiko Fried@EikoFried
8 Jun 2024
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.
PsyArXiv bot v2@PsyArXiv_bot_v2
7 Jun 2024
Comparing Likert and Visual Analogue Scales in Ecological Momentary Assessment osf.io/yt8xw/
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LauraBringmann@bringmann_laura
14 Feb 2024
For those of you who are into prediction, considering joining this fascinating challenge run by my colleague @Gert_Stulp_or_G ! You will be asked to predict who will have a child in the next three years based on both panel survey data and administrative data.

ALT Data Predict GIF by Siemens

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Eiko Fried@EikoFried
29 Jan 2024
1/8 New tutorial preprint led by @b_siepe in which we present different descriptive statistics & data visualization techniques with the goal to better understand EMA item functioning. Preprint: osf.io/preprints/psyarxiv/dv… Brief overview thread 🧵:
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Eiko Fried@EikoFried
11 Jan 2024
1/4 FRED is online, our free open source software to provide feedback to participants in EMA studies. We (led by @AljoschaRimpler) programmed the software to provide feedback at scale to our ~2000 WARN-D participants. Hope it will be useful to researchers & clinicians alike!
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Björn Siepe@b_siepe
17 Nov 2023
Maybe someday I will have the courage to actually go for the pun in the title... Until then, check out our new preprint on multiverse for dynamic network/GIMME models, featuring ~750k individual networks and a shiny app to explore results
This tweet is unavailable
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Anne-Laure Boulesteix@BoulesteixLaure
2 Nov 2023
Thanks to @b_siepe @BartosFra and S. Pawel for involving me in this exciting project together with @tmorris_mrc and @Daniel_W_Heck on planning and reporting of simulation studies (using ADEMP) in psychological methods research!
Björn Siepe@b_siepe
31 Oct 2023
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/
summary of the ADEMP reporting structure

ALT summary of the ADEMP reporting structure
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Björn Siepe@b_siepe
31 Oct 2023
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/
summary of the ADEMP reporting structure

ALT summary of the ADEMP reporting structure

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Björn Siepe@b_siepe
31 Oct 2023
We provide Monte Carlo standard error calculations and sample size planning formulas for the most common performance measures and showcase the ADEMP methodology in an example simulation study.
Large table with performance measures, their definition, their estimates, MCSE, and number of repetitions

ALT Large table with performance measures, their definition, their estimates, MCSE, and number of repetitions

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Björn Siepe@b_siepe
31 Oct 2023
We believe that the time is ripe for a shift in methodological research toward more rigor and transparency in simulation studies and that our ADEMP-PreReg template can help to achieve this goal.
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Björn Siepe retweeted
OpenScienceInitiativeUniversityMarburg@OpenScienceUM
11 Oct 2023
👇 REGISTRATION OPEN! 👇 tinyurl.com/OpenScienceDays2… 📢 #OpenScience Days Marburg, part of #BrainhackGlobal 2023! 🗓️ Dec 4-5 in 🏰 Marburg, Schulstrasse 12 🏫 mornings: short intensive talks 💻 afternoons: hands-on sessions & project work 💬 tuesday 4pm: Open Science discussion
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Björn Siepe@b_siepe
19 Jul 2023
Preprint on Bayesian estimation and testing for idiographic networks (psyarxiv.com/uwfjc/)🎉 Networks on n=1 data are popular, but they often contain a lot of noise. How can we test if networks that look different reflect more than sampling variability? 🧵below

ALT A GIF showing a temporal and contemporaneous network model with 6 variables. The GIF iterates over IDs, and the resulting network models look different, both in terms of edge strength and edge presence.

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Björn Siepe@b_siepe
19 Jul 2023
💻Test & additional plotting functions (see below for an example on posterior uncertainty coefficient matrix) implemented in the R package 'tsnet' on GitHub (github.com/bsiepe/tsnet); all code available on OSF. Joint work with @Daniel_W_Heck.
A plot containing a matrix of posterior distributions, shaded based on the magnitude of an effect.

ALT A plot containing a matrix of posterior distributions, shaded based on the magnitude of an effect.
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Björn Siepe@b_siepe
19 Jul 2023
We 1) evaluate an existing Bayesian method to estimate idiographic networks & 2) propose a novel test that evaluates the evidence that differences in edges between two models are not just due to sampling variability. We then apply estimation & test methods to empirical data.
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Björn Siepe@b_siepe
19 Jul 2023
Brief summary: existing LASSO-based methods often work well, esp. w/ few timepoints & sparsity. Bayesian estimation is strong in denser networks. The test (which assess overall differences between networks based on matrix norms) is conservative & has good false-positive rates.
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