Aleksandra Lazić, PhD

@alelazic.bsky.social

Psychology researcher • Advocating for equitable #OpenScience • Into #RStats #SocialPsyc #HealthPsychology #SciComm #Running & recently #MarketResearch orcid.org/0000-0002-0433-0483 https://mastodon.social/@alelazic https://www.linkedin.com/in/alelazic

I saw this yesterday, and I thought, yes it violates tidy data. But also I see the benefit for some people who are working in Excel only. And you can do similar things in R (nested list columns). But yeah, I'm sure it will ultimately just create more headaches in the research world. :/

Richard McElreath 🐈‍⬛@rmcelreath.bsky.social · 2w ago

Thoughts and prayers for research data managers everywhere. You are not alone. We will get through this together techcommunity.microsoft.com/blog/excelbl...

New preprint! 🎉 I analysed 1660 papers from 4 psychology journals and found materials sharing went from 9% of papers in 2015 to 82% in 2025, and these materials *do* get downloaded — a median of 135 times each. BUT shared code is often hard to run. doi.org/10.31234/osf... Let's walk through it 🧵

Two-panel figure. Panel a is a flow diagram tracking 1,611 empirical psychology articles from publication year (545 in 2015, 552 in 2020, 514 in 2025) to repository-link type: 785 link an OSF project, 85 link another platform, and 741 link no repository. Of those with an OSF link, download counts were retrieved for 670 and not retrieved for 115. Panel b is a line chart of the share of empirical papers linking OSF across 2015, 2020 and 2025. The overall rate, shown as a dashed black line, rises from 9% to 57% to 82%. All four journals rise steeply and end close together: Psychological Science 92%, JESP 89%, JML 83%, Cognition 76%, with Psychological Science highest throughout.Three-panel figure. Panel a: ridgeline plot of downloads per file by material type on a log scale, with the percentage never downloaded labelled for each — archive 16% of 545 files, documents 20% of 2,970, code 12% of 3,471, other 17% of 1,646, data 21% of 10,051, media 35% of 2,120, images 35% of 4,102. Most files cluster between 1 and 10 downloads, with long right tails past 100. Panel b: ridgeline plot of downloads per paper by journal, log scale, with dashed median lines; Psychological Science is highest, then JESP, JML and Cognition. Panel c: stacked bars showing, for documents, data and code separately, the share of papers by download band (0, 1–10, 11–100, more than 100) in 2015, 2020 and 2025. The share exceeding 100 downloads falls sharply over time in all three types, from roughly two-thirds in 2015 to a quarter or less in 2025, as the 1–10 band grows.Four-panel figure. Panel a: statistical languages detected among 333 papers with retrievable code — R 88%, SPSS 12%, Stata 4%, SAS 1%. Panel b: code red flags among those 333 papers — 34% hard-code an absolute path, 40% reference a missing file — above documentation among 672 OSF-linked papers — 21% have a README, 30% are documented by README, description or wiki. Panel c: among 562 Elsevier papers with no repository link, 44% (245) host at least one journal supplementary file but only 14% (77) host data, code or an archive. Panel d: composition of those 448 hosted files — documents 52%, data 21%, media 9%, other 7%, archive 6%, code 3%, images 1%. The code panels are green, the journal-supplement panels blue.Coefficient plot (download predictors)

Dot-and-whisker plot of three standardised predictors of OSF download volume, each with a 95% confidence interval. Repository size (number of files) has the largest effect at about 0.76, citations about 0.38, and altmetric attention about 0.12. All three intervals sit entirely above zero, so each predicts more downloads, with repository size roughly twice the effect of citations and six times that of attention. X-axis: standardised effect, −0.2 to 1.0.

... and that's where Registered Revisions comes in The Registered Revisions Meta Trial Pilot Report is OUT NOW!! osf.io/preprints/me... But new(ish) policy involves developing a new(ish) multi-headed trial design, workflows, infrastructure, piloting, mistakes, and a super team. And it's all here.

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Jeremy Freese@jeremyfreese.bsky.social · last mo.

Lurking within the new Ariely scandal is the incentive problem of editors giving R&Rs that ask for new analyses (that need to turn out a specific way) or even in psych whole new experiments (ditto).

1/ What is the prevalence of personally identifiable information (PII) in author-collected data publicly shared in the social sciences? We audited 327 replication packages from 11 leading journals in economics, political science, and psychology Answer: surprisingly high 🧵

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A clarification on the OSF changes: A recent Nature article incorrectly says private projects will become public. They will not, and we’ve asked for a correction. On Feb. 19, all projects become read-only. Public content stays available; private content stays private. Details: www.cos.io/osf-changes

OSF Changes | Center for Open Science

We are preparing substantial changes to OSF that will reduce its functionality, focus OSF on its unique strengths, and move toward an integrated model with complementary services. As part of that shif...

cos.io

Oh, I drew Lan. She was born in 440 CE in the countryside of the Yangtze Basin. Married at 15, she had seven children, four of whom survived. A free peasant who worked as a keeper of house and pigs. She died of starvation at 48 during a famine, beating the odds of a 26-year life expectancy. 💪

Saloni@scientificdiscovery.dev · last mo.

This is interesting. You get assigned to being born at a random place and time in history, to see what a typical person's life might have been like then. Unfortunately I was born in 1403 in the valley of Mexico and died at age 4 from dysentery.