Yong Zhang
@yongzhangzzz.bsky.social
PhD student in psychometrics and statistics at University of Groningen. Interested in experience sampling methodology and intensive longitudinal data analysis.
Pinned
Yong Zhang
@yongzhangzzz.bsky.social
· Mar 4
OSF
osf.io
New 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...
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...
Reposted by Yong Zhang
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...
▶️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...
October 22, 2025 at 7:34 PM
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...
▶️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...
Reposted by Yong Zhang
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...
eiko-fried.com/nl-psycholog...
Cutting international bachelor programs threatens psychological science » Eiko Fried
Dutch universities decided to throw international bachelor programs under the bus to appease the government. This is a terrible idea.
eiko-fried.com
April 23, 2025 at 11:47 AM
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...
eiko-fried.com/nl-psycholog...
Reposted by Yong Zhang
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...
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...
April 28, 2025 at 8:31 AM
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...
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...
Reposted by Yong Zhang
[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...
Link below 👇
www.sciencedirect.com/science/arti...
March 24, 2025 at 8:15 AM
[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...
Link below 👇
www.sciencedirect.com/science/arti...
Reposted by Yong Zhang
📣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...
@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...
OSF
osf.io
March 28, 2025 at 1:55 PM
📣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...
@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...
Reposted by Yong Zhang
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
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
March 14, 2025 at 4:09 PM
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
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
Reposted by Yong Zhang
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🧵
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🧵
OSF
osf.io
February 27, 2025 at 8:38 AM
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🧵
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🧵
Reposted by Yong Zhang
✨ 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
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
March 5, 2025 at 5:31 PM
✨ 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
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
Reposted by Yong Zhang
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 🧵
Statistical Evidence in Psychological Networks: A Bayesian Analysis of 294 Networks from 126 Studies: http://osf.io/62ydg/
January 24, 2025 at 11:02 AM
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 🧵
Reposted by Yong Zhang
🚨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
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
Unraveling Networks: The conceptual incoherence of the network approach: http://osf.io/h4jv2/
January 23, 2025 at 5:55 PM
🚨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
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
Reposted by Yong Zhang
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...
Read the article here: doi.org/10.3758/s134...
To interact or not to interact: The pros and cons of including interactions in linear regression models - Behavior Research Methods
Interaction effects are very common in the psychological literature. However, interaction effects are typically very small and often fail to replicate. In this study, we conducted a simulation compari...
doi.org
February 12, 2025 at 12:11 PM
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...
Read the article here: doi.org/10.3758/s134...
New 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...
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...
OSF
osf.io
March 4, 2025 at 2:33 PM
New 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...
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...
Reposted by Yong Zhang
#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
#causalsky #econsky #episky #statsky
November 16, 2024 at 6:16 PM
#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
#causalsky #econsky #episky #statsky
Reposted by Yong Zhang
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....
www.tandfonline.com/doi/full/10....
A Review of Some of the History of Factorial Invariance and Differential Item Functioning
The concept of factorial invariance has evolved since it originated in the 1930s as a criterion for the usefulness of the multiple factor model; it has become a form of analysis supporting the vali...
www.tandfonline.com
November 13, 2024 at 10:25 PM
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....
www.tandfonline.com/doi/full/10....
Reposted by Yong Zhang
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? 🧵
October 29, 2024 at 12:30 PM
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? 🧵
Reposted by Yong Zhang
Hi #LorMITNB forks, this may be useful of you want to follow other participants ; ) go.bsky.app/42Nh8oA
November 6, 2024 at 8:47 PM
Hi #LorMITNB forks, this may be useful of you want to follow other participants ; ) go.bsky.app/42Nh8oA