Jordy van Langen

@jordyvanlangen.bsky.social

PhD candidate working on cognitive variability & open-source software Donders Institute - Nijmegen, The Netherlands - research group: https://lifespancognitivedynamics.com - Github: https://github.com/jorvlan - Orcid: https://orcid.org/0000-0003-2504-238

I had such a blast presenting the last project of my PhD for a flash talk and a poster at #Flux2025 Grey and white matter are not two separate tissues and we found that adversity is associated significantly differently with grey and white matter measures showing the importance of looking at both!

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Looking forward to showcase the first results of our CODEC project on all things EMA measurement of cognitive variability in children @saa2025leuven.bsky.social @ambulatory-assessment.org I'll present during poster session 1 on May 26th!

SAA 2025 Leuven@saa2025leuven.bsky.social · last yr.

📢 The SAA program is live at www.saa2025.com/Program and it’s almost too good to be true — but it is true! So many incredible symposia, paper sessions, and posters to choose from that you’re guaranteed some FOMO! 🤯

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

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I highly recommend the eScience fellowship - it has put me in touch with some very cool (& inspiring) people in the Open Software space!

Netherlands eScience Center@esciencecenter.bsky.social · 2y ago

Meet Nicholas Judd (@njudd.com), one of the eScience Center's remarkable Fellows! His work bridges cutting-edge research and advanced computing, driving innovation in data-driven science. Learn more about his journey and contributions in our first #FellowFeature of 2025:

The Raincloud Quartet (new pre-print) All N = 111, M = 0.04, SD = 0.27. One-sided t-tests vs. 0 yield: t(110) = 1.67, p = .049. Only raincloud plots reveal the qualitative differences, preventing the drawing of inappropriate conclusions. How did we create the quartet? Where are data & code? 🧵👇

Four raincloud plots: a normal distribution, bimodal, skewed, and one riddled with outliers. Popular sample statistics are identical so that mere plotting of the identical means and confidence intervals would miss these qualitative differences.abstract of pre-print

🚨New preprint 🚨 **A computational model of reward learning and habits on social media** 🧵 We develop a computational reward learning model of real-world social media data, which infers the separate goal-directed and habitual cognitive processes driving posting...

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Looking for pointers on a publicly available longitudinal dataset with the following characteristics: 4 waves (or more), 4 cognitive domains/constructs/tests (or more), easy to access (no multimonth legal wrangling), N>100. Concrete suggestions much appreciated! #PsychSciSky

Don´t plot means & confidence intervals alone; your data is more than that! With easy raincloud plots in JASP you get the full picture and can draw better conclusions. #stats #PsychSciSky 🧪 #dataviz

JASP@jaspstats.bsky.social · 2y ago

OUT NOW: The Tutorial for Raincloud Plots in JASP by @vlott.bsky.social The 4 completely different datasets on the thumbnail share identical means & confidence intervals. Would you believe it? Find out more right at the start of the video. www.youtube.com/watch?v=AAdX...