xinkaidu.bsky.social - Profile | ThreadSky | a Reddit-style client for Bluesky

🥳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!

submitted 13 days ago • 1 comment

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

submitted 14 days ago • 6 comments

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

submitted 20 days ago • 0 comments

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

submitted 20 days ago • 1 comment

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

submitted 43 days ago • 5 comments

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

submitted 54 days ago • 0 comments

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

submitted 54 days ago • 0 comments

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...

submitted 68 days ago • 8 comments

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...

submitted 75 days ago • 1 comment

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

submitted 79 days ago • 0 comments

🛩️ 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)

submitted 80 days ago • 1 comment

Denver gave people experiencing homelessness $1k/month. A year later, nearly half had housing. They also had fewer ER visits, nights spent in a hospital, and jail stays. The report estimates that this reduction in public service use SAVED the city $589k. www.businessinsider.com/denver-basic...

submitted 93 days ago • 739 comments

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

submitted 93 days ago • 0 comments

🤔

submitted 99 days ago • 0 comments

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

submitted 101 days ago • 5 comments

go.bsky.app/MMeFFH6

submitted 103 days ago • 30 comments

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/...

submitted 104 days ago • 4 comments

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...

submitted 104 days ago • 1 comment

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....

submitted 105 days ago • 9 comments

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.

submitted 108 days ago • 1170 comments

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-...

submitted 107 days ago • 48 comments

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

submitted 108 days ago • 2 comments

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

submitted 118 days ago • 1 comment

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...

submitted 121 days ago • 11 comments

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

submitted 161 days ago • 45 comments

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

submitted 124 days ago • 0 comments

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

submitted 126 days ago • 2 comments

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

submitted 125 days ago • 0 comments

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

submitted 126 days ago • 0 comments