Hey folks doing #statnerdsummer ! This is your last chance to sign up for next week's course on designing ambulatory assessment/EMA studies.
You can always register later and watch the recordings etc, but it's much more awesomer when people come in person and ask lots of questions!
Hey folks, last chance to sign up to learn the basics of latent variable modeling with me this summer. The live virtual workshop kicks off on Monday!
Ofc, you can always register to take the training asynchronously and learn at your own pace. You get access to the videos and materials forever.
As with the advent of typewriters, computers for data processing, etc, AI will probably increase publication expectations unless the peer review system collapses under the weight of AI-augmented research. Not sure which of these is more likely at this point.
Sam Altman Says CEO’s Who Talk About AI Taking Everyone’s Jobs Are ‘Tone Deaf’
“Someone said to me just yesterday that … GPT 5.5 in Codex can accomplish in an hour what would have taken me weeks two years ago … and I have never been busier in my life.”
@cremieuxrecueil Has anyone every repudiated research demonstrating the concerns with brain scans, particularly fMRI? I quit following much of this research given issues with reliability
@reviewer3com@natalienkhalil I’d be happy if editors would just use AI to fact-check claims made by the reviewers. I Given the lag times in peer review, misunderstandings become costly for authors, new reviewers of a different journal, and science as a whole
Hey folks, https://t.co/klN9vnHyyw is sponsoring yet another free webinar. This time on how to navigate and be successful at PCORI grants taught by Kelley Kidwell (UMich Professor of biostats)
You can find out more and register here: https://t.co/Mng430jZlL
Feel free to share!
Does thinking more analytically make you less religious? 🧠⛪️
Our new paper published in Psychology of Religion and Spirituality(@APA_Journals) addresses this long-standing controversy. 👇 1/6
@CJFerguson1111 I feel like I’m reliving my childhood and young adult all over again when the same stuff was being said about TV screen time and the internet. Confirmation bias continues to thrive decades later
@emollick This paper seems promising. I’m curious about how scholars using data with restricted access would be able to have papers reproduced? Although most researchers don’t use this kind of data, I still would like for any AI policies to be equitable.
Do you know how to model the five types of stability/change: Structural, Relative, Normative, Individual, and Ipsative?
If not, consider signing up for my longitudinal SEM course on May 26-28. I cover the first 4 in depth.
Detailed info and registration: https://t.co/2DKsUy4S89
It's finally out! The first benchmark of a dedicated AI manuscript reviewer.
When we first launched R3 in June, AI review was still taboo. Since then, more tools have launched and more researchers have started experimenting with AI on their papers!
But how do these tools actually compare, both to each other and to human reviews? We wanted to contribute a benchmark to help the field make sense of all the recent progress!
We compare publicly available human reviews with R3 and frontier LLMs on thousands of papers -- across social science, life science, and computer science research.
New preprint out today (https://t.co/UChyCZTcxv). We tested whether AI agents are actually infiltrating online surveys.
Spoiler alert: they aren't
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📢 New Publication Alert at JoPaCS! Many studies use variability as a proxy for flexibility across domains. Using emotion regulation as an example, we show that variability decoupled from context can be harmful volatility. Variability ≠ Flexibility. 🧵 https://t.co/jKxr1phBd7
Very interesting new paper by Mariana Teles and Aleksandar Tomašević (@atomasevic), recently published at College Teaching (link below). They used our transforEmotion R package to apply LLM-based text classification via zero-shot classification of open-ended student feedback, revealing large effect sizes across engagement and learning dimensions THAT TRADITIONAL LIKERT SCALES OF STUDENTS EVALUATION OF TEACHING missed! Very cool and innovative paper: https://t.co/Ekd7P8D7Uf
@cremieuxrecueil Maybe intent-to-treat designs could be of some use. Also, the typical placebo group may not be adequate. Depending on the study standard GLP-1 treatment could serve as the “placebo” group.
Relocating isn't easy. https://t.co/P7AKrH3N4K makes it better.
A listing price isn't a fact.
It's a hypothesis.
And the market decides if it's true.
Before you buy, ask:
Is the price supported by comps?
Is the market rising or falling?
Is the seller already cutting?
Because the biggest risk in real estate
isn't the house.
It's overpaying for it.
Run any listing through TruVau.
Free at https://t.co/oOBqZcGUil.
@mdancho84 Sure maybe one day. There is a scalability issue. Many people cannot even get AI to do the most simple analysis with any confidence and will receive different answers across the platforms. I do think this can help replication, but we are a long way from that.