iiinova — where your digital self keeps evolving

Reposted by Nate Phillips

Don Lynam @drlynam.bsky.social · 28/09/2026

I will be accepting a new graduate student this year. You can check my google scholar to see what I have been up to recently: scholar.google.com/citations?us... Be warned, Josh Miller (U of GA) do a lot of co-mentoring (it is actually a good thing). Please send this around.

scholar.google.com

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Institute for Replication @i4replication.bsky.social · 25/09/2026

Over the past two years, I4R partnered with Psychological Science (@psychscience.bsky.social) on a large reproducibility project. 67 independent teams reproduced 64 articles published in 2024–2025, about 44% of eligible papers. Paper: www.econstor.eu/bitstream/10... Here's what we learned 🧵

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Lisa Starr @lisastarr.bsky.social · 03/09/2026

⚠️ATTENTION STRESS GENERATION FANS!⚠️ Presenting THREE new papers in Nature Reviews Psychology and Journal of Psychopathology and Clinical Science! One empirical study One methods guide One conceptual framework All have been baking for a LONG time, so it is a thrill to finally share. 🔗🧵⬇️ #PsychSky

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Ted Schwaba @tedmond.bsky.social · 02/09/2026

Our big Big Five GWAS, out today! Personality Genomics is extremely hot in 2026.

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Michel Nivard @michelnivard.bsky.social · 02/09/2026

🚨& 🧵 Our new Nature paper is out! Across 46 cohorts and up to 1.14M people per Big Five trait, we do GWAS and ask how robust, generalizable and consequential the genetic signals underlying personality really are. www.nature.com/articles/s41...

nature.com

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Don Lynam @drlynam.bsky.social · 28/08/2026

I was excited to be a part of this project, but disappointed by what we found. Antagonistic forms of psychopathology (ASB, aggression, psychopathy, narcissism, etc) are grossly underfunded compared to other spectra. This is especially unfortunate given the impact on society. 1/2

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Nate Phillips @nphillips36.bsky.social · 30/08/2026

Super excited to share a thread on our recent paper, “Mapping United States federal funding for mental health difficulties from 2020-2024 to the Hierarchical Taxonomy of Psychopathology: A registered report,” now in press at Journal of Psychopathology and Clinical Science! osf.io/preprints/ps... 🧵

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Nate Phillips @nphillips36.bsky.social · 29/08/2026

For folks who have made the move over to LinkedIn for science posting — any tips on how to prune your timeline? So far all I’m getting are AI bot motivational posts

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Nate Phillips @nphillips36.bsky.social · 28/08/2026

Thrilled to share our registered report at Journal of Psychopathology and Clinical Science! In it, we mapped all funding from NIMH, NIDA, NIAAA, and NICHD from 2020-2024 according to HiTOP (@hitop-system.bsky.social) osf.io/preprints/ps...

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Nate Phillips @nphillips36.bsky.social · 20/08/2026

Anybody know of good applied examples of dyadic response surface analysis with repeated measures? Preference would be in the context of intensive longitudinal data but would appreciate any and all recs using this approach (especially ones that have open code!) #StatsSky #rstats

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David Chester @davidchester.bsky.social · 19/08/2026

AggreScale, part of the ManyScale project of @datingdecisions.bsky.social, is now live! It's the place to go for aggression scales and we hope to update it and grow it in the days to come. Huge thanks to Emily Pappalardo and James Marchment! www.manyscale.org/aggression/

manyscale.org

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Nadine Batchelor-Hunt @nadinebh.bsky.social · 30/07/2026

This statement by UEFA on FIFA attempting to sell off the World Cup gave me goosebumps, what a statement - the beautiful game deserves no less “As so long as Europe has a voice, it will never be for sale.”

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Ted Schwaba @tedmond.bsky.social · 17/07/2026

New meta by @peterhaehner.bsky.social et al (I'm a little middle author) on individual differences in personality change across the lifespan (229 studies, N = 230k) 10.1037/bul0000525 Cool finding (imo): For all Big Five, variance in change is greatest in youth, declining through young adulthood!

Individual differences in change for each of the Big Five across ages 0 to 80. The trend for each trait is that individual differences in change are decreasing with age.

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Don Lynam @drlynam.bsky.social · 15/07/2026

New paper (open access) from M. Packer West, Vera Du, @kaelavantil.bsky.social, @jdmiller.bsky.social, and me. We used the TPM model to organize a meta-analysis on the relation between psychopathy and sexual agression (117 samples, > 41,000 participants). 1/2 onlinelibrary.wiley.com/doi/10.1111/...

onlinelibrary.wiley.com

The Relation Between Psychopathy and Sexual Aggression: A Meta‐Analysis

Objective Psychopathy is a multifaceted, hierarchical construct that has been linked to aggression and antisocial behavior. The triarchic model of psychopathy comprises three underlying, distinct tr...

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Courtland Hyatt @courtlandhyatt.bsky.social · 14/07/2026

Super proud to be a part of this Registered Report, led by the stellar @nphillips36.bsky.social. It’s got it all - cool/interesting/important research question, alignment w/open science principles, clinical relevance, comprehensive sensitivity analyses, and so on. Give it a read!

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Nate Phillips @nphillips36.bsky.social · 14/07/2026

Very excited to share this registered report now in press at Clinical Psych Science! In this paper, we put a common clinical intuition in group-based treatment to the test: Are patients’ outcomes associated with the personality composition of their treatment cohort?

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Ashley Watts @ashleylwatts.bsky.social · 09/07/2026

Excited to share a paper recently accepted at Nature Mental Health! 😄 For decades, we've assumed that covariance among psychopathology informs comorbidity. What if we’ve been wrong?

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Nate Phillips @nphillips36.bsky.social · 29/06/2026

Awesome to see this out! We argue that the main implication of Kerber et al. (2026) is that self-reported personality functioning and depression are practically fungible Also, big shoutout to Kerber and co. for making their data publicly available and being friendly/helpful throughout the process!

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Anthony D. Ong @anthonyong.bsky.social · 27/06/2026

New JPSP registered report + coordinated data analysis led by Tiko Yoneda: identical models across 11 aging cohorts (N=175,070; 18 countries). Loneliness—not simply social isolation—was more robustly associated with cognitive impairment and mortality risk psycnet.apa.org/record/2027-...

psycnet.apa.org

APA PsycNet

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Josh Miller @jdmiller.bsky.social · 25/06/2026

Excited to share a new commentary set to be published in J. of Psychopathology and Clinical Science. Co-authored with @vizecolin.bsky.social (shared 1st), @nphillips36.bsky.social, and @drlynam.bsky.social. osf.io/preprints/ps...

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Nate Phillips @nphillips36.bsky.social · 12/06/2026

Happy to share our latest paper, "Exploring the Lower-Order Structure of Trait Disinhibition," which was just accepted for publication at Journal of Personality Disorders. Here is a link to the preprint: osf.io/preprints/ps... (1/5)

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Scott Marek @smarek0502.bsky.social · 11/06/2026

What matters most for childhood brain organization? We analyzed 649 variables. The answer: Socioeconomics (SES); with brain patterns pointing at sleep & stress as drivers. Even brain-IQ associations were better explained by SES. In Science today: www.science.org/doi/10.1126/...

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Brian Nosek @briannosek.bsky.social · 13/05/2026

Wonderful commentary about open science culture change situating the responsibility in ourselves to change the system, not wait for some imagined entity to come change it for us.

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Don Lynam @drlynam.bsky.social · 13/05/2026

Excited to share this one: Open Science Now: A Response to Commentaries on Van Til et al. (with @kaelavantil.bsky.social, @nphillips36.bsky.social, Tinawei (Vera) Du, Leigha Rose, @jdmiller.bsky) osf.io/preprints/ps... See below for the TLDR version 1/8

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Aidan Wright @aidangcw.bsky.social · 02/05/2026

Lot's of folks cheering this paper's implications, as if it shows all's well in how we do science and can return to business as usual. IT DOES NOT SAY THAT! But by the paper's own logic, if we can't establish a crisis (using binary replication rates), we also can't say there isn't a crisis. 1/3

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Josh Miller @jdmiller.bsky.social · 15/03/2026

Or, what if brain structure doesn't play a big role in psychopathy given how little it does for personality in general? psycnet.apa.org/record/2022-...

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APA PsycNet

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PsyArXivBot @psyarxivbot.bsky.social · 13/03/2026

The construct 'personality functioning' is currently not logically defined: osf.io/zncr7

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Daniel P. Moriarity @dpmoriarity.bsky.social · 05/03/2026

First PPDI Lab paper of the year, led by our amazing lab manager Sara Schwind (🚨she's on the PhD market next year🚨)! we reviewed the transparency practicesat BBI. #OpenScience 1/6 www.sciencedirect.com/science/arti...

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Nate Phillips @nphillips36.bsky.social · 27/02/2026

Happy to see this now out at JRP For this one, we took a swing at integrating two historically siloed literatures that focus on the individual differences related to externalizing behaviors: personality and formidability

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Klaus Pforr @klauspforr.eurosky.social · 20/02/2026

Paper on statistical power necessary for interaction effects doi.org/10.1177/2515...

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Nate Phillips @nphillips36.bsky.social · 16/01/2026

Happy to share that this has just been accepted over at Journal of Psychopathology and Behavioral Assessment w/ @vizecolin.bsky.social, Kate Collison, Michael Crowe, @drlynam.bsky.social, & @jdmiller.bsky.social

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Richard McElreath 🐈‍⬛ @rmcelreath.bsky.social · 17/12/2025

The Max Planck Society has begun an exploratory round table for open science. We are drafting some recommendations to leadership. Still a long way to go! But here are my notes on the most recent draft, just so you all know how I am trying to steer things.

Richard McElreath: It must not be overlooked that junior researchers DO NOT TRUST US. We, the directors, are a big part of the problem. We made this system, we remake it every year, and we benefit from it. What can we do to credibly signal our commitment to reform a corrupt research culture? My conversations with junior scientists in the society has taught me that directors are too often either indifferent or hostile to science reform. We cannot hope to convince our prize winning colleagues. Their egos are immune. But we can replace retirements with researchers who care more about integrity than their own prestige. This is important both for earning the trust of the junior researchers who really do the research in the MPG and for attracting excellent future directors and starting to earn the trust of the public. So I suggest two strong signals to our junior researchers (and the public): (1) we will reform recruitment and promotion at all levels to eliminate proxies like citation counts and journal brands in favor of reliability and sustainability; (2) we will make open science skills a core part of scientific training, through the graduate schools at a minimum, as conditions for the central funding. The most ambitious thing we could do, as hinted at in item 5 above, is to meaningfully invest in metascientific research. As the largest basic research organization in the world, the MPG is uniquely suited to studying research and its products from a broad perspective that includes the humanities, the sciences, and policy. Governments are already involved in science reform. Someone should study it in an organized and sustained way.

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Don Lynam @drlynam.bsky.social · 06/12/2025

This paper is now out in print: journals.sagepub.com/doi/10.1177/... TLDR still holds.

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František Bartoš @fbartos.bsky.social · 01/12/2025

We just preprinted a huge meta-meta-analysis examining the effects of exercise on cognition, memory, and executive function In short - 2239 effect sizes - extreme between-study heterogeneity - extensive publication bias - some subgroup/exercise-specific effects More below (doi.org/10.31234/osf...)

doi.org

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Raphael Merz @raphaelmerz.bsky.social · 15/11/2025

Very useful table of insufficient examples vs. best-practices for statistical reporting! Will definitely point some of my colleagues to it! 📈

Table with insufficient examples vs. best-practice for things like reporting hypotheses, null results, or the software you used.

See https://doi.org/10.1038/s44271-025-00356-w for the full table.

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Nate Phillips @nphillips36.bsky.social · 14/11/2025

Massive and important undertaking by @andrew-cast.bsky.social, @drlynam.bsky.social, and co in estimating when interaction effects stabilize in linear regression Tldr: Under realistic conditions for psych research, N = 3,800

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PsyArXivBot @psyarxivbot.bsky.social · 12/11/2025

When do interaction/moderation effects stabilize in linear regression?: osf.io/35t84

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Don Lynam @drlynam.bsky.social · 14/10/2025

Exciting news from the Academy of Psychological Clinical Science--a joint effort to enhance open science training in clinical psychology! If you are interested, you can the papers mentioned in the email here: Van Til et al. osf.io/h34jg/files/... OSC paper (Lynam et al.) osf.io/preprints/ps...

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Nate Phillips @nphillips36.bsky.social · 07/10/2025

Love to see a registered report that reinforces why the registered report is such a valuable tool

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Don Lynam @drlynam.bsky.social · 06/10/2025

Interactions are difficult to detect in field studies as they are typically tiny--very small to start with and made smaller by the joint unreliabilities of the components. Here, we find some but the contribution to explained variance is negligible. Call off the search. It is not worth the effort.

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Don Lynam @drlynam.bsky.social · 02/10/2025

Pretty excited about this one. In this paper, we discuss the replication/credibility crisis, the factors that contribute to it, and clinical psychology's slow (really slow) progress in dealing with it. We offer a competency-based fraemwork for improving our training of future scholars. 1/2

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David A. Sbarra @dsbarra.bsky.social · 02/10/2025

Rigorous science is transparent science.

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Josh Miller @jdmiller.bsky.social · 02/10/2025

New paper led by @drlynam.bsky.social on the need for more training in and engagement with open science practices in clinical psych programs. It has been difficult to make progress due to a variety of barriers, including students working in labs uninterested or hostile to these approaches.

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Don Lynam @drlynam.bsky.social · 19/09/2025

Just accepted from @vizecolin.bsky.social and myself. We coded Open Science practices (preregistration, RRs, open data, and open code) from 2021 to 2024 in two personality disorder journals (JPD, PDTRT) and three personality journals *JOP JRP, and EJP). osf.io/preprints/ps... 1/5

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David Baranger @davidbaranger.bsky.social · 17/09/2025

𝐀𝐝𝐝𝐢𝐭𝐢𝐯𝐞 𝐚𝐧𝐝 𝐈𝐧𝐭𝐞𝐫𝐚𝐜𝐭𝐢𝐯𝐞 𝐑𝐞𝐥𝐚𝐭𝐢𝐨𝐧𝐬𝐨𝐟 𝐏𝐞𝐫𝐬𝐨𝐧𝐚𝐥𝐢𝐭𝐲 𝐚𝐧𝐝 𝐂𝐨𝐠𝐧𝐢𝐭𝐢𝐨𝐧 𝐖𝐢𝐭𝐡𝐄𝐱𝐭𝐞𝐫𝐧𝐚𝐥𝐢𝐳𝐢𝐧𝐠 𝐁𝐞𝐡𝐚𝐯𝐢𝐨𝐫𝐬 | "Although interaction effects were detected, they were small and practically negligible in their explanation of variance in externalizing behaviors" journals.sagepub.com/doi/10.1177/...

journals.sagepub.com

Additive and Interactive Relations of Personality and Cognition With Externalizing Behaviors - Nathaniel L. Phillips, Nathan T. Carter, Kevin M. King, Courtland S. Hyatt, Max M. Owens, Donald R. Lynam...

Personality and cognition offer robust frameworks to understand the individual differences associated with externalizing behaviors. However, these literatures h...

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Mike Stromenger @1in9.bsky.social · 27/08/2025

This imagery is the kind of thing you see in video games to let you know you’re in a totalitarian city or country.

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Julia M. Rohrer @dingdingpeng.the100.ci · 25/08/2025

Ever stared at a table of regression coefficients & wondered what you're doing with your life? Very excited to share this gentle introduction to another way of making sense of statistical models (w @vincentab.bsky.social) Preprint: doi.org/10.31234/osf... Website: j-rohrer.github.io/marginal-psy...

Models as Prediction Machines: How to Convert Confusing Coefficients into Clear Quantities

Abstract
Psychological researchers usually make sense of regression models by interpreting coefficient estimates directly. This works well enough for simple linear models, but is more challenging for more complex models with, for example, categorical variables, interactions, non-linearities, and hierarchical structures. Here, we introduce an alternative approach to making sense of statistical models. The central idea is to abstract away from the mechanics of estimation, and to treat models as “counterfactual prediction machines,” which are subsequently queried to estimate quantities and conduct tests that matter substantively. This workflow is model-agnostic; it can be applied in a consistent fashion to draw causal or descriptive inference from a wide range of models. We illustrate how to implement this workflow with the marginaleffects package, which supports over 100 different classes of models in R and Python, and present two worked examples. These examples show how the workflow can be applied across designs (e.g., observational study, randomized experiment) to answer different research questions (e.g., associations, causal effects, effect heterogeneity) while facing various challenges (e.g., controlling for confounders in a flexible manner, modelling ordinal outcomes, and interpreting non-linear models).

Figure illustrating model predictions. On the X-axis the predictor, annual gross income in Euro. On the Y-axis the outcome, predicted life satisfaction. A solid line marks the curve of predictions on which individual data points are marked as model-implied outcomes at incomes of interest. Comparing two such predictions gives us a comparison. We can also fit a tangent to the line of predictions, which illustrates the slope at any given point of the curve.

A figure illustrating various ways to include age as a predictor in a model. On the x-axis age (predictor), on the y-axis the outcome (model-implied importance of friends, including confidence intervals).

Illustrated are
1. age as a categorical predictor, resultings in the predictions bouncing around a lot with wide confidence intervals
2. age as a linear predictor, which forces a straight line through the data points that has a very tight confidence band and
3. age splines, which lies somewhere in between as it smoothly follows the data but has more uncertainty than the straight line.

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Quantitude the Podcast @quantitude.bsky.social · 19/08/2025

For those interested, here is a link to a new power paper: Hancock, G. R., & Feng, Y. (2026). nmax and the quest to restore caution, integrity, and practicality to the sample size planning process. Psychological Methods. yifengquant.github.io/Publications...

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