Thrilled to share that our work (with Sverre Urnes Johnson and @sachaepskamp.bsky.social) on invariance partial pruning (IVPP), a novel approach to comparing networks in time-series and panel data is now online at Psychological Methods 10.1037/met0000824 (preprint link: 10.31234/osf.io/vb8dz_v2).

My latest work with @sachaepskamp.bsky.social on creating dynamic fit index cutoffs for Gaussian graphical models is now out as a preprint: osf.io/preprints/ps..., accompanied by an R package, netDFI: github.com/xinkaidupsy/....

Day 1 at Stanford and officially started my 4-month US visit in this special time. Amazed by the beautiful campus.

Adopt Registered Reports at Psychological Methods - Sign the Petition! chng.it/8h2KXXR4jk

Currently visiting Dr. Johnny Zhang in Notre Dame and excited to learn about his approaches combining CS and psychometrics. Had a wonderful encounter with a deer on the way to campus. :)

Thrilled to see our TinyRNN paper in @nature! We show how tiny RNNs predict choices of individual subjects accurately while staying fully interpretable. This approach can transform how we model cognitive processes in both healthy and disordered decisions. doi.org/10.1038/s415...

Happy to share that our article, led by @xinkaidu.bsky.social, on confirmatory network modeling has been published in Psychological Methods! psycnet.apa.org/record/2026-...

Thrilled to share that this paper has now been published on Psychological Methods. See 🧵 below for an intro & shinyapp to view the results, as well as non-paywalled version. dx.doi.org/10.1037/met0...

Some papers are really good because they make just one point, but they make it really clearly — such as “Statistical Control Requires Causal Justification” journals.sagepub.com/doi/10.1177/...

The three-month research visit with @sachaepskamp.bsky.social at NUS was a great memory, and even more excited with research output. Excited to share a novel approach to compare networks models in time-series and panel data, which we term invariance partial pruning (IVPP). osf.io/vb8dz_v1

🥳thrilled that our dockerHDDM tutorial paper, after many years's work was published in my dream journal AMPPS of @psychscience.bsky.social 🤩 👇 doi.org/10.1177/2515.... The image's been downloaded 10K+⏬ docker Hub Such a pleasure to work w/ Wanke, Ru Yuan, Haiyang & member of HDDM/HSSM team!

1/3 Tutorial on exploring ecological momentary assessment data is online at AMPPS, with: - Accessible ways to visualize data for better understanding - Models to get some first insights - Further reading boxes for more advanced topics - Reproducible pipeline you can run over your own data

Check out this important methodological validation study of SEM fit indices for (confirmatory) network modeling. Led by @xinkaidu.bsky.social!

Preprint on using SEM fit indices & conventional cutoffs in confirmatory network analysis updated! Now with a Shiny app for results display. PsyArXiv: osf.io/preprints/ps... RG: www.researchgate.net/publication/... Shiny app: github.com/xinkaidupsy/... See 🧵 for the summary of results

Looking for a longitudinal (ideally intensive) dataset where missing data is expected to be problematic, i.e. MNAR, anyone have pointers to good examples?

link 📈🤖 Penalized weighted GEEs for high-dimensional longitudinal data with informative cluter size (Ma, Wang, Jiang) High-dimensional longitudinal data have become increasingly prevalent in recent studies, and penalized generalized estimating equations (GEEs) are often used to model such data. H

link 📈🤖 Penalized Quasi-likelihood for High-dimensional Longitudinal Data via Within-cluster Resampling (Ma, Wang, Jiang) The generalized estimating equation (GEE) method is a popular tool for longitudinal data analysis. However, GEE produces biased estimates when the outcome of interest is assoc

I was today years old when I found this gem of a web app to explore 2500+ color palettes for R: r-graph-gallery.com/color-palett...

A real pleasure to run two workshops on time series and forecasting to wrap up #ESAus2024. Great to see so many wonderful scientists doing temporal ecology in Australia. Hopefully my {mvgam} software can help with some of this: youtube.com/playlist?lis...

Conspiracy theories and violent extremism: http://osf.io/emgjf/

🛩️ On my way to #NeurIPS2024 and excited to chat about (ML applications of) linear algebra, differentiable programming, and probabilistic numerics! Feel free to DM if you’d like to meet up, hang out, and/or discuss any of these topics 😊 (Where to find me & paper info? -> Thread)

Evaluating General Network Scoring Methods as Alternatives to Traditional Factor Scoring Methods: http://osf.io/s3re6/

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Working on some network stuff. It's oddly satisfying going from this network spaghetti to something a bit more organized

FYI Lisa has a multi week course on this recorded. I attended the first week or two and it was great, I just didn’t have the time to continue with it. youtu.be/XiM4jFJ6ocY?...

Our long didactic paper on #network analysis, written with many of the amazing scientists that work in the field is finally out in IJMPR and open access ! It was a long and collaborative effort two years in the making, but, it was worth it! Please repost onlinelibrary.wiley.com/doi/10.1002/...

The Exploratory Graph Model is now LIVE! TL;DR: The paper introduces the Exploratory Graph Model (EGM), a new mathematical framework for analyzing psychological measurements using networks instead of traditional latent variable models 1/n osf.io/preprints/ps...

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....

Starter packs are genius, but I was surprised there wasn't a list of them for people to find. So I built it: blueskydirectory.com/starter-pack... The website monitors the packs being shared and adds the ones it finds to the database. Missed your stater pack? Message me and I'll get it added.

In clinical research, you will often receive feedback on study design, stats, and/or data analysis from an editor or reviewer that is simply wrong. Here is a list of common "statistical myths" and references you can use to push back. discourse.datamethods.org/t/reference-...

I created a starter pack of researchers in network psychometrics. Pretty sure there is more so feel free to message below if want to be added! go.bsky.app/8ccFL3W

1/2 Our new preprint shows how to estimate internal consistency reliability in EMA data: ➡️n~1150, 3 months data, 4 scales ➡️6 nomothetic & idiographic methods ➡️2 timescales (4/day & 1/week) ➡️2 languages (ENG vs NL) ➡️separation of between & within person reliability. #psychscisky #stats

Some news: I've just open-sourced the draft of a book I'm working on about how #rstats tidymodels users can make their code run faster without sacrificing predictive performance! www.simonpcouch.com/blog/2024-10...

I made an attempt at a bsky psychometrics starter pack with people who work on or largely with psychometric tools! Please reskeet and (selfl!)nominate to help me fill my many and varied blind spots and make this a useful and balanced resource #rstats #psychometrics go.bsky.app/6oGLp7D

Convex Hull Applications to Natural Language Network Psychometrics: http://osf.io/khjzd/

New Preprint! I’m excited to share our preprint titled: "Modeling Non-Linear Psychological Processes: Reviewing and Evaluating Non-Parametric Approaches and Their Applicability to Intensive Longitudinal Data." Check out the full preprint here: osf.io/preprints/ps... Any feedback is welcome! 1/3

Heterogeneous Variance Models with Gaussian Processes: http://osf.io/5ab3x/

Modeling Non-Linear Psychological Processes: Reviewing and Evaluating Non-parametric Approaches and Their Applicability to Intensive Longitudinal Data: http://osf.io/26mde/

First draft done 🐎

A few time ago I posted my first paper on psychometrics about the use of fit indices in confirmatory network testing. Glad to notice this paper has reached 500+ reads on ResearchGate and 350+ on PsyArXiv in less than 3 months. I think it’s a good chance to also post it here! osf.io/preprints/ps...

Should you use Likert or VAS for EMA research? In a new paper led by @jmbh.bsky.social & Alberto Jover, 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.🧵 🧪 #psychpsysky

Check out the latest preprint from the ESM Item Repository team, led by @gudruneisele.bsky.social and Anu Hiekkaranta. We conducted a delphi study of experience sampling method (ESM) experts to develop a quality assessment tool for ESM items. Summary & preprint link in Gudrun's 🧵 below.

A systematic review of the application of experience sampling methodology to measure anhedonia in psychiatry and mental health: http://osf.io/94hfz/

A mathematical model of goal-oriented psychotherapy dynamics: http://osf.io/y3gnv/

Excited to share that this July I will be hosting a symposium on network psychometrics at IMPS, Prague, where I will present with @liuthorsten.bsky.social , Ria Hoekstra, @bsiepe.bsky.social, Tatiana Kvetnaya, and Kai Nehler about our latest work!

Very cool paper about detecting and controlling for Inattentive Responding in Ecological Momentary Assessment by Leonie Vogelsmeier, Irina Uglanova, Manuel Rein, and Esther Ulitzsch

R 4.4.0 is coming in less than one month! With rig you can try the alpha easily while keeping the current R version. Run rig add next to install, and then R-next to start R 4.4.0 alpha. On Windows, macOS or one of the many supported Linux distributions. github.com/r-lib/rig#re... #Rstats

The Many Reliabilities of Psychological Dynamics! 🤩 Excited to share our latest preprint in collaboration with first author Sebastian Castro Alvarez. Here we explain different approaches to estimating the reliability of ESM data. osf.io/preprints/ps...