@yongzhangzzz.bsky.social
PhD student in psychometrics and statistics at University of Groningen. Interested in experience sampling methodology and intensive longitudinal data analysis.
ICYMI: decision to cut 5 international bachelor psychology programs in NL poses serious threat to psych science nationally & internationally, given how much research conducted here has historically punched above its weight in terms of per-capita output.
eiko-fried.com/nl-psycholog...
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)
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...
[1/3] Cool new work by @bringmannlaura.bsky.social and colleagues on digital feedback tools in psychotherapy with m-Path.io! 📊
Link below 👇
www.sciencedirect.com/science/arti...
📣New preprint 📣
@leonieschorrlepp.bsky.social, @domimaciejewski.bsky.social, @bringmannlaura.bsky.social, Mithra Hesselink and I wrote a paper illustrating the value of qualitative methods for checking the validity of your ESM data.
doi.org/10.31219/osf...
New paper alert. And the first paper for our PhD-student Klazien 🥳🎈
Not open access but final author version available from osf.io/uwjb2 (and #ihazpdf).
In psychological test norming, nonrepresentativeness can lead to biased estimates.
1/4
The first preprint from my PhD is out: osf.io/preprints/ps...! 🥳
We explored the temporal dynamics of four careless responding indicators (response time, within-beep standard deviation, an inconsistency index, occasion-person correlation) in ESM data across different samples.
Thread below🧵
✨ Excited to share our new preprint: osf.io/preprints/os... ✨
In this paper, Nick Jacobson and I dive into the challenges researchers face when developing prediction models for just-in-time adaptive interventions (JITAI). 🧵👇
#EMA #JITAI #CrossValidation #PassiveSensing
Are psychometric networks sufficiently supported by data such that one can be confident when interpreting its results? We analysed 294 psychometric networks from 126 papers with the Bayesian approach to address this question @jmbh.bsky.social Sara Ruth van Holst @maartenmarsman.bsky.social 🧵
24.01.2025 11:02 — 👍 51 🔁 16 💬 1 📌 2🚨Preprint alert! 🚨
In this one, @mieronen.bsky.social and I argue that using network psychometrics, DAGs or BNs to study predictions of the network theory of psychopathology (NT) is conceptually incoherent.
Why? NT either directly contradicts or cannot support causal sufficiency!
1/11
Excited to share that my first PhD paper got published! We explored the effects of correctly vs. failing to model true interactions in data. Can model misspecification lead to reversed conclusions? Which model generalizes better to a larger sample?
Read the article here: doi.org/10.3758/s134...
Big thanks to my wonderful coauthors @jordanrvl.bsky.social @ginettelafit.bsky.social Anja Ernst, Josip Razum, Eva Ceulemans, @bringmannlaura.bsky.social and other people that make this paper as it is today❤️
04.03.2025 14:33 — 👍 4 🔁 0 💬 0 📌 0
With the novel method introduced by @jordanrvl.bsky.social and team (pubmed.ncbi.nlm.nih.gov/38717682/), we assessed the risk of overfitting and having low predictive accuracy for N=1 temporal networks in published studies. Let us start to rethink when, how, and why we use the VAR-based networks.
04.03.2025 14:33 — 👍 3 🔁 1 💬 1 📌 0New preprint from our team. We reflect on the usage of VAR-based person-specific temporal networks with a key question:
do we have sufficiently long time-series to estimate a VAR model without overfitting the data? Say no to models that "find meanings in random patterns".
osf.io/preprints/os...
#Rstats `MatchIt` v4.6.0 is out! `MatchIt` implements propensity score matching and other matching methods for causal effect estimation. This isn't a major release, but here are the main updates: 🧵
#causalsky #econsky #episky #statsky
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....
With all the new people on here (hi!), a delayed summary of our paper on Bayesian estimation and comparison of n=1 gVAR/network models, recently published in PsychMethods: How can we understand whether differences in these popular, but highly parameterized models reflect more than just noise? 🧵
29.10.2024 12:30 — 👍 32 🔁 9 💬 1 📌 1Hi #LorMITNB forks, this may be useful of you want to follow other participants ; ) go.bsky.app/42Nh8oA
06.11.2024 20:47 — 👍 7 🔁 5 💬 1 📌 0
