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Lenni

@leonhardreiter.bsky.social
117 followers 138 following 70 posts

Marketing PhD Student @ Uni Vienna. Interested in how people use and evaluate new technologies, research syntheses and cats.

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Reposted by Lenni
Lisa DeBruine @debruine.bsky.social · 11/08/2026
The following R script downloads your public projects from the OSF. Set the variable "me" to your OSF user ID, which you can find at osf.io/profile after logging in.
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Jamie Cummins @jamiecummins.bsky.social · 14/07/2026
Today we launch the first stable release of RegCheck: v1.0.0. RegCheck makes it easier and quicker to compare study registrations to published papers for consistency - something we know is important in principle, but rarely done in practice. A 🧵 on what's new: regcheck.app
regcheck.app
RegCheck
RegCheck is an AI tool to compare preregistrations with papers instantly.
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Lenni @leonhardreiter.bsky.social · 11/07/2026
1/ 🚨 New preprint 🚨 How can governments implement effective—but often unpopular—policies without triggering public backlash? We investigated whether involving citizens in policymaking can reduce resistance to system-level policies. 🧵 Preprint: lnkd.in/dQGy47u4
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Qinyu Xiao @qinyuxiao.bsky.social · 31/05/2026
New working paper with @robertboehm.bsky.social: it is an early version likely needing significant revision, so feedback is very much appreciated. We review multi-level games: a family of economic games that capture tensions within and between groups simultaneously. (1/5) doi.org/10.31234/osf...
doi.org
OSF
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Jamie Cummins @jamiecummins.bsky.social · 13/05/2026
Bad idea for many reasons, not least that LLM-based workflows for this type can produce wildly different results depending on even just a few analytic decisions with many plausible choices: arxiv.org/abs/2509.13397
arxiv.org
The threat of analytic flexibility in using large language models to simulate human data
Social scientists are now using large language models to create "silicon samples": synthetic datasets intended to stand in for human respondents. However, producing these samples requires many analyti...
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Robert Böhm @robertboehm.bsky.social · 30/04/2026
🚨 New in @science.org: CDC communication undermines trust in vaccines Link to the publication: www.science.org/doi/10.1126/... I’m excited to share this paper, which I wrote together with @schneali.bsky.social, @corneliabetsch.bsky.social & @laulilleholt.bsky.social (1/5)
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Max kuhn @topepo.bsky.social · 31/03/2026
We've released the first version of our tabpfn #rstats package to CRAN. This is an interface to the Python #TabPFN package. tidyverse.org/blog/2026/03... The model is a pre-trained deep learning model that has performed exceedingly well on every data set I've tested it on.
tidyverse.org
tabpfn 0.1.0
A new R package for tabular deep learning models.
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Dan Quintana @dsquintana.bsky.social · 07/03/2026
I’m reminded of this comic almost every time I check LinkedIn
The say “I am alive” comic
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Lenni @leonhardreiter.bsky.social · 09/01/2026
🚀 My first PhD paper is out! I'm glad to share my first PhD publication: "Country-level differences in socio-economic development and cultural dimensions are associated with workers' economic expectations of AI", published in Computers in Human Behavior Reports (OA: doi.org/10.1016/j.ch...).
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Ian Hussey @ianhussey.mmmdata.io · 18/12/2025
Oliver Sacks admitted his case studies in The Man Who Mistook His Wife For A Hat were fraudulent “fairy tales”. What Psych101 core texts are left? www.newyorker.com/magazine/202...
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Health Psychology Review @healthpsychrev.bsky.social · 26/11/2025
Emphasizing herd immunity might be a helpful strategy to improve vaccine uptake 💉 In this meta-analysis, authors found small positive, but heterogenous effects. Interestingly, effects are twice as large for experiential methods, such as VR or simulations! Read the full paper here: doi.org/qc4j
Screenshot of the first page of the article, including title "Emphasising herd immunity in vaccine advocacy: a systematic review and meta-analysis", authors and abstract.
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Data Colada @datacolada.bsky.social · 18/11/2025
[130] Researchbox: Even easier to use than before. More transparently permanent. datacolada.org/130
datacolada.org
[130] ResearchBox: Even Easier to Use and More Transparently Permanent than Before - Data Colada
Over the past 10 years or so, posting data, code, and materials for published papers has gone from eccentric to mundane. There are a few platforms that enable sharing research files, including Researc...
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Robert Böhm @robertboehm.bsky.social · 17/11/2025
Tomorrow marks the start of 🌍 World AMR Awareness Week 2025! We’ll be sharing insights from our AMR research as psychologists at @univie.ac.at @ipb.bsky.social @unierfurt.bsky.social and BNITM. Like/share this post for updates throughout the week! #AMR #WorldAMRAwarenessWeek #WAAW2025
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Crystal Lewis @cghlewis.bsky.social · 07/11/2025
Stop being a lame-o and replace dplyr with the more slappin genzplyr.
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Brian Nosek @briannosek.bsky.social · 06/11/2025
Ouch
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Robert Böhm @robertboehm.bsky.social · 29/10/2025
We're hiring! @univie.ac.at is seeking a TT Assistant Professor in the Psychology of Digitalization. If your work is about automation, AI, or immersive technology (e.g., VR) in the context of work and organizations (broadly defined), we’d love to hear from you. 👇
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Ryan Briggs @ryancbriggs.net · 24/10/2025
I think this is kind of neat and I don't think anyone else has noticed it (I've looked and I can't find anyone who has) osf.io/preprints/so... Maybe I should back off "justification" language, but it's at least a remarkable coincidence. I still think someone else *must* have noticed it...
Title: A Justification for 80% Power
Abstract:
Cohen’s heuristic reason for choosing 80% power (balancing Type I and TypeII errors) conveniently arrives at approximately the same number as an approachwhere one maximizes the marginal gain in power per standard error reduction. Ihave yet to see someone point this out, and this is interesting because it providesa non-arbitrary justification for 80% power.a derivation of the result
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Robert Böhm @robertboehm.bsky.social · 25/09/2025
My PhD student @qinyuxiao.bsky.social has written a wonderful tribute to Gary Bornstein’s influential paper on team games (doi.org/10.1207/S153...) — a paper that remains as relevant today as it was over 20 years ago. You can read Qinyu’s short piece here: doi.org/10.1038/s441...
doi.org
The multi-level social dilemmas of intergroup interactions - Nature Reviews Psychology
Nature Reviews Psychology - The multi-level social dilemmas of intergroup interactions
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Lenni @leonhardreiter.bsky.social · 25/09/2025
📢 New SysRev + Meta-Analysis out in Health Psychology Review! Together with the amazing Martin Voracek, @corneliabetsch.bsky.social & @robertboehm.bsky.social Do messages about herd immunity increase or decrease vaccination motivation? 🤔 Read more to find out! 🧵 OA: doi.org/10.1080/1743...
doi.org
Emphasising herd immunity in vaccine advocacy: a systematic review and meta-analysis
Emphasising herd immunity in vaccine communication may affect vaccine uptake by eliciting prosocial or selfish motivations. While experimental evidence has accumulated, quantitative syntheses are l...
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Nils Köbis @nckobis.bsky.social · 17/09/2025
🚨 Beyond excited that our new paper is out today in @natureportfolio.nature.com We find that people are more likely to cheat when they delegate to AI than when acting themselves. www.nature.com/articles/s41...
nature.com
Delegation to artificial intelligence can increase dishonest behaviour - Nature
People cheat more when they delegate tasks to artificial intelligence, and large language models are more likely than humans to comply with unethical instructions—a risk that can be minimized by ...
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František Bartoš @fbartos.bsky.social · 10/09/2025
Z-curve plot is a new visual model fit diagnostic for #metaanalysis with an emphasis on #publicationbias. In contrast to funnel plots, z-curve plots - visualize the distribution of z-statistics (where bias usually occurs) - compare the fit of multiple models simultaneously
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Prof Andy Field @profandyfield.com · 05/09/2025
A shout out for @nrennie.bsky.social fab book on data viz! nrennie.rbind.io/art-of-viz/
nrennie.rbind.io
The Art of Data Visualization with ggplot2
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Mark Rubin @markrubin.bsky.social · 26/08/2025
"Understanding different types of review articles: A primer for early career researchers." By Ghosh & Choudhury (2025) Open Access: dx.doi.org/10.4103/indi... #AcademicSky #PhDSky #Methodology
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Emil Hvitfeldt @emilhvitfeldt.bsky.social · 20/08/2025
Happy to announce ✨quarto-revealjs-editable✨ This fully supersedes the imagemover extension, as I back then didn't realize the potential. You can now also move, resize, change font size and alignment for text in your slides github.com/EmilHvitfeld... #quarto #slidecrafting
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Richard D. Morey @richarddmorey.bsky.social · 08/08/2025
Paper drop, for anyone interested in #metascience, #statistics, or #metaanalysis! @clintin.bsky.social and I show in a new paper in JASA that the P-curve, a popular forensic meta-analysis method, has deeply undesirable statistical properties. www.tandfonline.com/doi/full/10.... 1/?
Cover page for the manuscript: Morey, R. D., & Davis-Stober, C. P. (2025). On the poor statistical properties of the P-curve meta-analytic procedure. Journal of the American Statistical Association, 1–19. https://doi.org/10.1080/01621459.2025.2544397Abstract for the paper: The P-curve (Simonsohn, Nelson, & Simmons, 2014; Simonsohn, Simmons, & Nelson, 2015) is a widely-used suite of meta-analytic tests advertised for detecting problems in sets of studies. They are based on nonparametric combinations of p values (e.g., Marden, 1985) across significant (p < .05) studies and are variously claimed to detect “evidential value”, “lack of evidential value”, and “left skew” in p values. We show that these tests do not have the properties ascribed to them. Moreover, they fail basic desiderata for tests, including admissibility and monotonicity. In light of these serious problems, we recommend against the use of the P-curve tests.
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Daniel Lakens @lakens.bsky.social · 22/07/2025
New blog post: Easily download files from the Open Science Framework with Papercheck daniellakens.blogspot.com/2025/07/easi... Downloading all files in an OSF project can be a hassle. Not anymore, with Papercheck! Just run: osf_file_download("6nt4v")
daniellakens.blogspot.com
Easily download files from the Open Science Framework with Papercheck
Researchers increasingly use the Open Science Framework (OSF) to share files, such as data and code underlying scientific publications, or ...
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Lenni @leonhardreiter.bsky.social · 15/07/2025
Awesome reading list!
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Ilya Kashnitsky @ikashnitsky.phd · 12/07/2025
{ralger} #rstats package looks like an absolute game changer in the task of web scraping for people with very occasional need in this rather nerdy task 🤩 Instead of drilling manually through cached HTML, one can use intuitively named functions that just do it ✨ 🔗 feddelegrand7.github.io/ralger/
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Ethan Mollick @emollick.bsky.social · 05/07/2025
An AI model (Llama 3.1 70B) fine-tuned on the results of 60,000 people in psychology experiments shows some real promise in using LLMs for studying and predicting human behavior. It predicts actual human behavior in held-out data & it generalizes to out-of-distribution tasks and experiments.
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Wolfgang Viechtbauer @wviechtb.bsky.social · 10/06/2025
Just a reminder that #ESMARConf2025 is starting tomorrow! This is a free online conference about evidence synthesis and meta-analysis using #Rstats. Further details can be found here: esmarconf.org/2025/
esmarconf.org
2025 - ESMARConf
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Paul Bogdan @pbogdan.bsky.social · 09/04/2025
🚨New paper!🚨 Meta-analysis on 4M p-values across 240k psych articles: How has psychology changed since the replication crisis began? How is replicability linked to citations, impact factor, and university prestige? 🧵 Paper: journals.sagepub.com/doi/10.1177/... Interactive: pbogdan.com/meganal
Figure 1 of the paper
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Die Tagespresse @dietagespresse.com · 21/05/2025
Ende einer Ära: Brickerl (†) erhält Staatsbegräbnis dietagespresse.com/ende-einer-a...
dietagespresse.com
Ende einer Ära: Brickerl (†) erhält Staatsbegräbnis
Österreich trauert um eine Legende: das Brickerl (1973 – 2025) wurde gestern unerwartet und viel zu früh aus dem Leben gerissen.
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František Bartoš @fbartos.bsky.social · 12/05/2025
Does ChatGPT help with students' learning performance, learning perception, and higher-order thinking? We re-analyzed a recently published meta-analysis and found that the original conclusion is almost entirely driven by publication bias.
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Nick Byrd, Ph.D. @byrdnick.com · 06/05/2025
A 2021 paper in a pay-to-publish #Nature journal claimed #mindfulness tasks (notice 3 things around you or differences between 2 similar images) reduced some cognitive #biases: doi.org/10.1057/s415... The mindful #debiasing was undetected in a re-analysis and 2 replications: doi.org/10.1007/s126...
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Simon van Baal @svanbaal.bsky.social · 06/05/2025
Pleased to announce that @sdpbht.bsky.social, @lukaszwalasek.bsky.social, Feiyi Wang and I published this work in @pnas.org last month. A particularly intricate project I'm thankful to have been part of! Going from unstructured text to an attribute repr. of decisions. www.pnas.org/doi/10.1073/...
pnas.org
Computational analysis of 100 K choice dilemmas: Decision attributes, trade-off structures, and model-based prediction | PNAS
We present a dataset of over 100 K textual descriptions of real-life choice dilemmas, obtained from social media posts and large-scale survey data....
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Lenni @leonhardreiter.bsky.social · 01/05/2025
Amazing paper!
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Lenni @leonhardreiter.bsky.social · 24/04/2025
🎉 New paper out in Mindfulness 📄 🧠 Can a 5-minute online mindfulness task help you make better decisions? That’s what a widely cited study claimed. We put it to the test. Not once, but twice! OA: link.springer.com/article/10.1...
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Hu Chuan-Peng is on paternity leave @hcp4715.bsky.social · 06/04/2025
Cool paper in AMPPS of @psychscience.bsky.social "One App to Rule Them All: A One-Stop Calculator and Guide for 95 Effect-Size Variants for Two-Group Comparisons of Central Tendency, Variability, Overlap, Dominance, and Distributional Tails” doi.org/10.1177/2515...
doi.org
One App to Rule Them All: A One-Stop Calculator and Guide for 95 Effect-Size Variants for Two-Group Comparisons of Central Tendency, Variability, Overlap, Dominance, and Distributional Tails - Marton ...
The prevalence of effect-size (ES) reporting has risen significantly, yet studies comparing two groups tend to rely exclusively on the Cohen’s d family of ESs. ...
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Valentin Amrhein @vamrhein.bsky.social · 01/04/2025
Happy birthday, p = 0.05! I had a short introductory lecture in statistics for biologists this morning, and then it dawned on me that p = 0.05 is celebrating its hundredth birthday this year.
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Malte Elson @malte.the100.ci · 24/03/2025
Happy Large Enough N day for those who observe
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Raphael Merz @raphaelmerz.bsky.social · 19/03/2025
🚀Very excited to finally see our paper on nonsignificance misinterpretations published! 📈 Together, @smurphee.bsky.social, Aurelio Fernández, Linda Reimann and I investigated the prevalence of "p > .05 = absence of an effect" interpretations. (1/4) doi.org/10.1098/rsos...
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Lenni @leonhardreiter.bsky.social · 18/03/2025
What a plot!
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Farhad Shokraneh @farhadshokraneh.bsky.social · 09/03/2025
So far, the best scoping review on using #LLMs in #SystematicReviews by our German colleagues "Large Language Models for Conducting Systematic Reviews: On the Rise, But Not Yet Ready for Use - A Scoping Review" #GenerativeAI #AI #EvidenceSynthesis pubmed.ncbi.nlm.nih.gov/40021099/
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Dan Quintana @dsquintana.bsky.social · 28/02/2025
This is one reason why I encourage all my trainees to do at least one meta-analysis. It changes the way you report your results because you'll never forget tearing your hair out trying to calculate effect sizes and variances from papers that don't report their results in sufficient detail
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Lenni @leonhardreiter.bsky.social · 20/02/2025
💀💀💀
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Lenni @leonhardreiter.bsky.social · 18/02/2025
🚨New Publication Fresh from the Press🚨 "Student (Mis)Use of Generative AI Tools for University-Related Tasks". Together with the great Moritz Jörling, Christoph Fuchs & @robertboehm.bsky.social, we explored how university students (mis)use generative AI tools! OA: doi.org/10.1080/1044... 1/7
doi.org
Student (Mis)Use of Generative AI Tools for University-Related Tasks
Although Artificial Intelligence (AI) holds immense potential to enhance the educational experience, its use also presents challenges. This research examines the use and misuse of AI tools for univ...
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Lenni @leonhardreiter.bsky.social · 13/02/2025
Reminder because I had to deal with it today: You should expect to observe mixed results in a multi-study paper, even if the H1 is true. For example, given H1 is true, the long run probability of observing 3 out of 4 significant studies, given .8 power, is 41%
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Michael Inzlicht @minzlicht.bsky.social · 29/01/2025
Roy Baumeister called ego depletion "one of the most replicable findings in social psychology." As someone who spent 20 years studying it—and ultimately had to admit it wasn't real—I have to respectfully disagree. Here's my perspective of what went so wrong.
open.substack.com
The Collapse of Ego Depletion
Science's Biggest Self-Control Failure
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Jan Broder Engler @jbengler.de · 23/01/2025
In case you ever wondered about the differences between magrittr pipe and base pipe 🤔 This table is taken from a great stackoverflow answer by @GeorgKindermann stackoverflow.com/questions/67... #rstats #dataviz #phd
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Dan Quintana @dsquintana.bsky.social · 21/01/2025
Reminder: It's "Hedges' g" not "Hedge's g". This effect size measure was named after Larry Hedges, who first proposed this in a 1981 paper journals.sagepub.com/doi/10.3102/...

DISTRIBUTION THEORY FOR GLASS'S ESTIMATOR OF
EFFECT SIZE AND RELATED ESTIMATORS

Larry V. Hedges
The University of Chicago
Key Words: Meta-analyzsi, Research Aynthe6sis, StandaAdized
mean difdetence, Measutement etro4, Weighting of estimatos,
Invalidity, confidence intervals.

ABSTRACT
Glass's estimator of effect size, the sample mean differ-
ence divided by the sample standard deviation, is studied in
the context of an explicit statistical model. The exact dis-
tribution of Glass's estimator is obtained and the estimator
is shown to have a small sample bias. The minimum variance
unbiased estimator is obtained and shown to have uniformly
smaller variance than Glass's (biased) estimator. Measure-
ment error is shown to attenuate estimates of effect size
and a correction is given. The effects of measurement in-
validity are discussed. Expressions for weights that yield
the most precise weighted estimate of effect size are also
derived
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