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Florian Krieger

@florian-krieger.bsky.social
146 followers 833 following 10 posts

Father of four, psychologist, researcher at TU Dortmund University

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Reposted by Florian Krieger
Tom Gauld @tomgauld.bsky.social · 24/09/2026
My latest @newscientist.com cartoon. many more here: www.newscientist.com/author/tom-gauld/
Image: A graph with lots of red dots clustered together in a curve. The are all looking upwards at a single red dot wearing sunglasses. 

Caption: Mike was an outlier and would probably be excluded from the study, but all the other data points secretly thought he was really cool.
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Stephen Turner @stephenturner.us · 21/08/2026
dontpastetheai.com
dontpastetheai.com
Don't paste the AI, please.
If someone asks you something, send your answer. Not the AI's.
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Simon P. Couch @simonpcouch.com · 03/08/2026
Data analysis is often a branching and nonlinear process. We just shipped a feature in Posit Assistant to help with this; use /eda-log to keep track of loose ends in your analysis. @posit.co #databs #rstats opensource.posit.co/blog/2026-07...
opensource.posit.co
AI Newsletter: EDA log in Posit Assistant
A higher-level view of your data analysis conversations.
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Prof Sam Illingworth @samillingworth.com · 25/07/2026
🚩 My 2010 PhD thesis is ‘70% AI’ I ran my 2010 PhD thesis through an AI detector. It flagged 70% as AI, then tried to sell me a ‘humanise’ fix. Either I am a time traveller, or these tools do not work. Link to my thesis in the comments to try yourself. #AIDetection #HigherEd 🧪 #AI
Screen grab of an AI detection test showing 70%.
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Julia M. Rohrer @dingdingpeng.the100.ci · 20/07/2026
New paper out now 🥳 When psychologists discuss generalisability, they often refer to vague notions of representativeness. We provide an accessible intro to the total survey error framework as a tool to reason about this more rigorously. w @taymalsalti.bsky.social @ruben.the100.ci >
Thinking Clearly About Sampling and Representation With the Total Survey Error Framework

Collecting a sample that represents the population of interest well constitutes a challenge across the social and behavioural sciences. Psychology in particular frequently relies on convenience samples—most notably students and, increasingly, online participants—with a tendency to either (implicitly) assume representativeness without substantive justification, or to acknowledge a lack of it only in passing. In contrast, researchers rarely engage with the actual implications for their inferences, which undermines the generalisability of psychological findings. Critically, representativeness must be defined with respect to variables relevant to the target of inference, rather than superficial demographic diversity. Here we present the Total Survey Error (TSE) framework as a methodological tool that systematically addresses the multifaceted sources of error—particularly those related to representation—that emerge throughout the research cycle. Although TSE originated in survey research, its principles are broadly applicable to any psychological study seeking inference from sample to population. We offer practical strategies for identifying, preventing, and mitigating representation errors to improve the credibility and generalisability of psychological research.

Illustration of the total survey error framework with the representation strand highlighted. It shows how coverage error, sampling error and non-response error arise during the sampling process.
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Florian Krieger @florian-krieger.bsky.social · 02/07/2026
Just came across kova (kova.md) for creating presentations. Gets you pptx-like presentations in markdown with live preview and seems to be faster/easier than quarto reveal.js or comparable frameworks. I will give it a try.
kova.md
kova.md — Markdown-powered presentations
Write Markdown. Get slides. Free and open source, runs on any platform, no account needed.
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Florian Krieger @florian-krieger.bsky.social · 18/05/2026
Just used Positron Assistant for the first time. OMG, what a game changer 😱
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Mattan S. Ben-Shachar @mattansb.msbstats.info · 01/05/2026
Maybe teaching #rstats was a mistake? When I first advocated for teaching R in under/grad psych, it felt like the right move: SPSS was rigid and limited only to what can be selected from a stat-analysis decision tree; R on the other hand... 1/
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Moritz Kriegleder @mokriegleder.bsky.social · 10/06/2025
I asked gpt 4o to visualise the brain areas involved in consciousness according to IIT and GNWT. turns out it knows as much about neuroscience as the average AI researcher... #neurosci #consci #philsci #neuroskyence
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Han Zhang @hanzhang.bsky.social · 11/03/2025
🚨 Announcing PupEyes, a Python library for pupil size and eye movement data analysis! github.com/HanZhang-psy... Highlights: *Pupil preprocessing pipeline based on best practices* *Interactive data viz tools* *Integration with pandas ecosystem. 🧵 (1/8)
github.com
GitHub - HanZhang-psych/pupeyes: PupEyes: Your Buddy for Pupil Size and Eye Movement Data Analysis
PupEyes: Your Buddy for Pupil Size and Eye Movement Data Analysis - HanZhang-psych/pupeyes
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Oliver Dickhäuser @odickhaeuser.bsky.social · 16/12/2024
Am 15.12. startete die Anmeldephase für den BaPsy, den Studieneignungstest für Psychologie. Anmeldungen sind bis zum 15.02. möglich: studieneignungstest-psychologie.de Ab sofort ist auch das Vorbereitungsbuch zum BaPsy vorbestellbar: hgf.io/2FXB6
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Dalmeet Singh Chawla @dalmeet.bsky.social · 11/12/2024
Why is so much of the scholarly literature inaccessible to blind and low-vision scientists (and other readers)? My latest for Nature: www.nature.com/articles/d41... @natureportfolio.bsky.social
nature.com
Accessibility worsens for blind and low-vision readers of academic PDFs
Preprints and other rapid-publishing trends have fuelled a decline in scientific publications meeting accessibility standards, study finds.
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Oded Rechavi @odedrechavi.bsky.social · 11/12/2024
Looking for reviewers before Christmas
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Kristoffer Magnusson @rpsychologist.com · 11/12/2024
Introducing PowerLMM.js! A new tool for power analysis of longitudinal linear mixed-effects models (LMMs) – with support for missing data, plus non-inferiority and equivalence tests. powerlmmjs.rpsychologist.com Would really appreciate your feedback as I refine this app! Details below 🧵👇
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Adrian Olszewski @adrianolsz.bsky.social · 10/12/2024
#rstats #ggplot2 I must say I really *like* the gghalves package and the idea of the #raincloud plots 🥰 In my toolkit (#clinicaltrials) for 8 years. Below - various examples (from toy experiments and real reports). Luckily to me, my collaborators love them too (and even demand!).
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Beatriz Goulão @beatrizgoulao.bsky.social · 06/12/2024
Very helpful reference list to tackle "Common statistical myths". Will now be saved in my favourites! 😊 #medstats #stats
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Piotr Tompalski @piotrtompalski.bsky.social · 05/12/2024
the {anytime} R package is my new favorite when it comes to converting text to dates. Super easy to use and works even if dates have some weird formatting! eddelbuettel.github.io/anytime/ #R #Rstats
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Lisa DeBruine @debruine.bsky.social · 02/12/2024
Apologies for missing some emails from CRAN and letting faux get taken down. I’m fixing the test failure (by commenting out the test that works on all my checks, but somehow not on CRAN) and resubmitting today. In the meantime, you can install it with devtools::install_github("debruine/faux")
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James Goldie @jamesgoldie.dev · 05/12/2024
The Closeread Prize has been extended to Jan 5! And scrollytelling with @quarto.org is easier than you think. Aspiring data scientists and data journalists, prize details are here: posit.co/blog/closere...
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Oded Rechavi @odedrechavi.bsky.social · 01/12/2024
But please return the Proofs in 2 days
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Oliver Dickhäuser @odickhaeuser.bsky.social · 26/11/2024
Neuestes GEBF-Spielzeug: Ein Wurfmikrofon! 🎤🏀 Es wird im Hörsaal von Person zu Person weitergeworfen, und die Sprechenden können ihre Beiträge direkt machen, die dann im gesamten Raum gut hörbar sind. Wir planen, es bei den GEBF-Keynotes für Publikumsbeiträge zu nutzen. #GEBF25
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Jan Broder Engler @jbengler.de · 22/11/2024
The brand new `legendry` package by @teunbrand.bsky.social takes ggplots2 guides to the next level 🤩 teunbrand.github.io/teunbrand_bl...
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Arielle Keller @ariellekeller.bsky.social · 21/11/2024
☀️ New preprint! ☀️ Cognitive tests from 23,000+ participants in 4 datasets show cyclical fluctuations across the calendar year, including a small but replicable “summer slide” where youth show worst performance after school vacation. t.ly/OMzgl #PsychSciSky #CogPsyc #CogDev #devpsy #CogSci Thread /1
a graph showing a drop in cognitive performance during the summer months in the ABCD Study dataset
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Achim Zeileis @zeileis.org · 22/11/2024
Nice contributed tutorial about written multiple-choice exams with #rexams in #rstats 📄✅️ edgar-treischl.de/blog/examr/
edgar-treischl.de
Create, scan, and correct exams with R | Dr. Edgar Treischl
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Dan Quintana @dsquintana.bsky.social · 22/11/2024
One area of doctoral training that seems to be under-discussed is how to peer review a paper. This can help trainees write better papers as they can better anticipate what a reviewer might say
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omg! ubuntu @omgubuntu.co.uk · 15/11/2024
Automatic window tiling has been added to the (really terrific) 'Tiling Shell' GNOME extension, meaning newly opened apps tile to a vacant space in the active layout right away www.omgubuntu.co.uk/2024/11/auto...
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Florian Krieger @florian-krieger.bsky.social · 13/11/2024
Since bluesky gives me what I loved about good old twitter, I just deactivated my x account. Feels good.
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Prof. Emily Nordmann @emilynordmann.bsky.social · 08/11/2024
I have written a guide for how to use AI to write multiple choice questions that follows best practices. sway.cloud.microsoft/lZANk0W69G9j... Feedback welcome! #AcademicSky
sway.cloud.microsoft
Writing MCQs with AI
This document will guide you to use Gen AI tools to assist in writing multiple-choice questions. To follow all steps in this guide you will need access to a premium version of ChatGPT or Copilot.
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Matthew B. Jané @matthewbjane.bsky.social · 01/11/2024
First job search post #stats: I plan to graduate by the end of the year and I am open and exploring any and all opportunities. Let me know if there is a position out there that may be a good fit. DM me or email me at matthew.jane@uconn.edu. My website: matthewbjane.github.io
matthewbjane.github.io
Matthew B. Jané
Website for Matthew B. Jané. PhD student at the University of Connecticut.
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Tom Olino @olinotom.bsky.social · 01/11/2024
I have a joke about DIF, but it doesn’t mean the same thing to everyone
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Dan Quintana @dsquintana.bsky.social · 01/11/2024
Is there a list somewhere of psychology journals that *do not* accept pre-printed articles? Or can anyone name examples?
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Julia Silge @juliasilge.com · 31/10/2024
Our #PositConf2024 talk(s) on Positron are now available on YouTube! It was really special to get to introduce this new project to folks ❤️ and I'm excited this is broadly available now. Take a look if you are curious about our new IDE: youtu.be/8uRcB34Hhsw
youtu.be
Introducing Positron, a new data science IDE - posit conf 2024
YouTube video by Posit PBC
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Anne Scheel @annemscheel.bsky.social · 31/10/2024
This is how we explained it in our primer for psychologists doi.org/10.1177/2515...
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Dan McNeish @dmcneish.bsky.social · 31/10/2024
New Paper w/@melissagwolf.bsky.social- Dynamic fit cutoffs now support any covariance structure model (e.g., bifactor, hierarchical, & mediation models). Also supports categorical and non-normal outcomes Use the DDDFI function in dynamic package on GitHub www.tandfonline.com/doi/full/10.... /1
tandfonline.com
Direct Discrepancy Dynamic Fit Index Cutoffs for Arbitrary Covariance Structure Models
Despite the popularity of traditional fit index cutoffs like RMSEA ≤ .06 and CFI ≥ .95, several studies have noted issues with overgeneralizing traditional cutoffs. Computational methods have been ...
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Weverthon Machado @weverthon.com · 24/07/2024
📊When teaching or giving a talk, do you like presenting plots step by step, revealing e.g. one group at a time? This is often useful for walking through complex results. I made a R package that makes it extremely easy to do this! ggreveal: Reveal a ggplot incrementally #rstats #dataviz #ggplot2
weverthon.com
Reveal a ggplot incrementally
Provides functions that make it easy to reveal ggplot2 graphs incrementally. The functions take a ggplot2 object and return a list of plots showing data incrementally by panels, layers, groups, the va...
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Andrew Heiss @andrew.heiss.phd · 29/10/2024
With #rstats re-gathering I’m reposting some of my past blog posts, including my most popular one: "Marginalia" Have you wondered what marginal and conditional effects are? Have you been confused how "marginal" can mean both an integral *and* a slope? Read on for the magic of {marginaleffects}!
andrewheiss.com
Marginalia: A guide to figuring out what the heck marginal effects, marginal slopes, average marginal effects, marginal effects at the mean, and all these other marginal things are | Andrew Heiss
Define what marginal effects even are, and then explore the subtle differences between average marginal effects, marginal effects at the mean, and marginal effects at representative values with the ma...
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Shannon Pileggi @pipinghotdata.com · 29/10/2024
y'all probably know i ❤️labelled data. the dev version of {ggplot2} has a new feature that automatically applies variable labels when plotting 😍✨ thank you @teunbrand.bsky.social!!! 🙏 #rstats
library(ggplot2)
mtcars_labelled <- mtcars
attr(mtcars_labelled$mpg,  "label") <- "Miles per gallon"
attr(mtcars_labelled$disp, "label") <- "Displacement"
attr(mtcars_labelled$drat, "label") <- "Rear axle ratio"


mtcars_labelled |> 
  ggplot(aes(mpg, disp)) +
  geom_point(aes(colour = drat))ggplot figure showing "Miles per gallon" on x-axis, "Displacement" on y-axis, and "Rear axle ratio" on legend.
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Ilana Horn @ilanahorn.bsky.social · 22/10/2024
It's ADHD awareness month. Researchers estimate that, by the time they are 10, kids with ADHD hear 10,000 more negative statements about themselves than typically developing kids. If you see them doing well, be sure to let them know. #EduSky
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Jakob Schwerter @jakobschwerter.bsky.social · 21/10/2024
Hi Learning Scholars! Which publication is currently everyone’s fav to link log-data to SRL behavior? Or that shows which log-data help to measure SRL behavior? Or an overview of which variables generated from clicks reflect SRL behavior? #SRL #Clicks #LearningScholars
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Casper Albers 🟥 @casperalbers.nl · 18/10/2024
New paper in Psychological Methods, where we show the added benefits (and challenges) of incorporating IRT in continuous test norming. We've spent a ton of taxpayers' money to make it open access, so please all read it 😎 psycnet.apa.org/fulltext/202...
the abstract of the paper I'm linking toFigure 2
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Vincent Arel-Bundock @vincentab.bsky.social · 25/06/2024
It's official. I'm writing the #marginaleffects book! The provisional title is: “Model to Meaning: How to Interpret Statistical Results in R and Python” Please reply with better titles, artwork ideas, content suggestions, etc. What do you want to read?
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