Lightnews — Scholar-powered news

Lenni

@leonhardreiter.bsky.social

85 followers 120 following 53 posts

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

Posts Media Videos Starter Packs

Pinned

Lenni @leonhardreiter.bsky.social · 13d

📢 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...

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...

Reposted by Lenni

Robert Böhm @robertboehm.bsky.social · 12d

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...

The multi-level social dilemmas of intergroup interactions - Nature Reviews Psychology

Nature Reviews Psychology - The multi-level social dilemmas of intergroup interactions

Lenni @leonhardreiter.bsky.social · 13d

Indeed, your article was by far the easiest to code 🙂. That really reflects the clarity and transparency of your reporting—much appreciated!

Lenni @leonhardreiter.bsky.social · 13d

Thank you for all the help and guidance! I couldn't ask for a better mentor 🫶

Lenni @leonhardreiter.bsky.social · 13d

No, Qinyu, you rock 🥹

Lenni @leonhardreiter.bsky.social · 13d

The article is open access 🔓, preregistered 📑, and fully transparent: we share all data, effect size computations, screenshots of extracted effects, and full analysis code. 🧑‍💻📂 Just see the post above.

That's all! End of thread! Thanks for your attention <3

Lenni @leonhardreiter.bsky.social · 13d

📖 doi.org/10.1080/1743...

📂 osf.io/zm9at/

📝 Preregistration: PROSPERO CRD42024540536

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...

Lenni @leonhardreiter.bsky.social · 13d

Personal note: this is the most work I’ve ever put into a project (yet). I learned so much, and I’m grateful to see it published. With vaccine hesitancy rising, it’s important to remember that every (non-)vaccination also has a social impact

Lenni @leonhardreiter.bsky.social · 13d

Takeaway 💡
Communicating herd immunity has a small but positive effect on vaccination motivation. However, the effect is larger when people can experience it (VR, simulations) instead of just reading text. 🚀

As such, future messages must be clear, engaging & immersive 🕶️💉

Lenni @leonhardreiter.bsky.social · 13d

We also ran some fancy machine learning 🧠, multiple tests for publication bias (spoiler: none found ✅), assessed Risk of Bias (all good), and packed in plenty of other cool stuff (including a HUGE table 📊).
For all the details—you’ll have to check out the paper 😉

Lenni @leonhardreiter.bsky.social · 13d

Among the most relevant moderators, we identify the medium of communication. When people can actually experience herd immunity (e.g., VR, simulations), the effect on vaccination motivation more than doubles (g = 0.29) 🚀

Lenni @leonhardreiter.bsky.social · 13d

📊 Herd immunity messages do boost vaccination motivation! We find a small but positive summary effect: g = 0.12 (95% CI: 0.08–0.17) 📈 But averages only tell part of the story—what’s even more interesting is when and how these messages work. That’s what we tested next.

Lenni @leonhardreiter.bsky.social · 13d

To find out, we ran the first systematic review & meta-analysis on herd immunity communication 🧪
🔎 10+ years of experimental work
📂 a whole lot of records screened
📊 43 studies (67 effects), >100k participants
⚙️ Three-level model + Publication Bias Tests + MetaForest

So… what did we discover? 👀

Lenni @leonhardreiter.bsky.social · 13d

💉 Communicating HI could have different effects:
👉 It could motivate prosocial vaccination (“I’ll vaccinate to protect others”)
👉 But it could also motivate selfish-rational non-vaccination (“I’m safe if others vaccinate”)

Which is it? Does communicating HI help vaccination motivation? 🤔

Lenni @leonhardreiter.bsky.social · 13d

Vaccines are a huge achievement ❤️💉. By getting vaccinated, you not only protect yourself but also protect others indirectly, as it is more difficult for the pathogen to spread. This is a simplified explanation of herd immunity (HI).

Yet, communicating HI could lead to several outcomes💉🤔

Lenni @leonhardreiter.bsky.social · 13d

📢 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...

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...

Reposted by Lenni

Nils Köbis @nckobis.bsky.social · 20d

🚨 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...

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 ...

Reposted by Lenni

František Bartoš @fbartos.bsky.social · 28d

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

Reposted by Lenni

Prof Andy Field @profandyfield.com · Sep 5

A shout out for @nrennie.bsky.social fab book on data viz! nrennie.rbind.io/art-of-viz/

The Art of Data Visualization with ggplot2

nrennie.rbind.io

Reposted by Lenni

Mark Rubin @markrubin.bsky.social · Aug 26

"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

Reposted by Lenni

Emil Hvitfeldt @emilhvitfeldt.bsky.social · Aug 20

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

Reposted by Lenni

Richard D. Morey @richarddmorey.bsky.social · Aug 8

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/10.1080/01621459.2025.2544397

Abstract 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.

Reposted by Lenni

Daniel Lakens @lakens.bsky.social · Jul 22

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")

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 ...

daniellakens.blogspot.com

Lenni @leonhardreiter.bsky.social · Jul 18

Already eagerly awaiting my copy 🫡🤓

Lenni @leonhardreiter.bsky.social · Jul 15

Awesome reading list!

Andrew Gelman et al. @statmodeling.bsky.social · Jul 15

A bunch of readings and a new book on Bayesian meta-analysis
statmodeling.stat.columbia.edu/2025/07/15/a...

A bunch of readings and a new book on Bayesian meta-analysis | Statistical Modeling, Causal Inference, and Social Science

statmodeling.stat.columbia.edu

Reposted by Lenni

Ilya Kashnitsky @ikashnitsky.phd · Jul 12

{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/