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Reposted by Yong Zhang

Eiko Fried @eikofried.bsky.social · Apr 23

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...

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

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Björn Siepe @bsiepe.bsky.social · Apr 28

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...

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)

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Egon Dejonckheere @dejonckheeregon.bsky.social · Mar 24

[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...

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Marie Stadel 🟥 @mariestadel.bsky.social · Mar 28

📣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...

OSF

osf.io

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Casper Albers 🟥 @casperalbers.nl · Mar 14

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.

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Milla Pihlajamäki @millapihlajamaki.bsky.social · Feb 27

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🧵

OSF

osf.io

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Anna Langener @annalangener.bsky.social · Mar 5

✨ 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

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Karoline Huth @karolinehuth.bsky.social · Jan 24

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 🧵

PsyArXivBot @psyarxivbot.bsky.social · Jan 16

Statistical Evidence in Psychological Networks: A Bayesian Analysis of 294 Networks from 126 Studies: http://osf.io/62ydg/

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Freek Oude Maatman @freekoudemaatman.bsky.social · Jan 23

🚨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!

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PsyArXivBot @psyarxivbot.bsky.social · Jan 23

Unraveling Networks: The conceptual incoherence of the network approach: http://osf.io/h4jv2/

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Aljoscha Rimpler @aljoscharimpler.bsky.social · Feb 12

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...

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

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Yong Zhang @yongzhangzzz.bsky.social · Mar 4

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❤️

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Yong Zhang @yongzhangzzz.bsky.social · Mar 4

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.

A new sample-size planning approach for person-specific VAR(1) studies: Predictive accuracy analysis - PubMed

Researchers increasingly study short-term dynamic processes that evolve within single individuals using N = 1 studies. The processes of interest are typically captured by fitting a VAR(1) model to the...

pubmed.ncbi.nlm.nih.gov

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Yong Zhang @yongzhangzzz.bsky.social · Mar 4

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...

OSF

osf.io

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Noah Greifer @noahgreifer.bsky.social · Nov 16

#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

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Dan McNeish @dmcneish.bsky.social · Nov 13

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....

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

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Björn Siepe @bsiepe.bsky.social · Oct 29

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? 🧵

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Jingmeng Cui @cuijingmeng.bsky.social · Nov 6

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

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