iiinova — where your digital self keeps evolving

Reposted by Nate Phillips

Don Lynam @drlynam.bsky.social · 01/10/2026

This one is on-line now: . (journals.sagepub.com/home/cpx). It's a response to commentaries on our paper documenting the inadequacy of Open Science training in Clinical PhD programs in the US. See post below for a synopsis and links to open access versons of our original paper and response.

journals.sagepub.com

Clinical Psychological Science: Sage Journals

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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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Reposted by Nate Phillips

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

Plus, I just want to send a thank you to @miriforbes.bsky.social, who facilitated a really thoughtful and smooth review process, along with the two anonymous reviewers! There's no doubt that their thoughts and suggestions really strengthened this paper over the course of the two-stage RR process

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

Finally, I'd like to send a huge thank you to my co-authors: Eli Berman, @courtlandhyatt.bsky.social, Leigha Rose, @olinotom.bsky.social, @drlynam.bsky.social, and @jdmiller.bsky.social This project was a beast at times, and I am very grateful for all their guidance and support

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

Ultimately, we hope this paper offers an empirical foundation for discussions and approaches of this kind to ensure that the distribution of funding across areas of psychopathology aligns with how we, as a field, believe it should be allocated.

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

and (b) the use of external, empirical benchmarks (e.g., prevalence, burden, short- and long-term scientific promise, etc.). As of now, these decisions seem to mostly be reflections of existing NIH architecture and the top-down decisions of its respective leaders.

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

At the same time, we recognize that we don't have the roadmap for how to best allocated these funds. Instead, we advocate for greater transparency in these decisions, believing this is best approached through (a) transparent discussions among the field's many stakeholders...

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

We offer our interpretation, along with a positionality statement identifying ourselves as Antagonistic EXT researchers, arguing that these results show that Antagonistic EXT research is deeply underfunded relative to its substantial burden on individuals, families, communities, and society.

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

In interpreting these results, we recognize that one could reasonably argue that any of these spectra are fairly funded or underfunded, depending on various factors (e.g., one's research area, lived experience, worldview).

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

5) Finally, Antagonistic EXT ($191 million) and Somatoform ($34 million) spectra received very small proportions of the funding portfolio.

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

4) Thought Disorder ($841 million) and Detachment ($629 million) were allocated the fourth- and fifth-most funding, which was mostly driven by psychosis-related research

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

3) We a priori included an Autism spectrum because (a) we expected this area to receive considerable funding and (b) HiTOP currently has a neurodevelopmental spectrum addition underway. Turns out this was a solid decision, as this spectrum received the third-most funding at $1.2 billion

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

2) Internalizing received the second most funding ($3.4 billion), with depression, anxiety, and suicide research driving this domain via NIMH allocations.

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

There’s a ton to unpack here, but here are the big findings: 1) Disinhibited EXT was allocated more funding in this study period than all other spectra combined ($8.4 billion), and the vast majority of this funding focused on the study of substance use via NIDA and NIAAA allocations

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

In this RR, we validated and then implemented an LLM coding approach to map all NIMH, NIDA, NIAAA, and NICHD grants (~53k) from 2020-2024 using @hitop-system.bsky.social as a framework. This represents the first mapping of funding using a transdiagnostic, empirically derived model of psychopathology

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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

Oh yeah, same here! Just figured it might be worth a shot

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

It for sure has not begun as an easy user experience. But maybe I’m just not yet tapped into the right spheres? Or maybe that’s just how it is?

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

Yeah I’ve similarly seen a bunch of folks posting that it’s where the action is happening these days, so I’m giving it a shot. But I don’t have a good sense yet as to what the vibe is like over there

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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

I'll post a longer thread in the coming days, but in the meantime please take a look and let us know what you think!

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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...

osf.io

OSF

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

This is exactly what I was hoping for! Thanks a ton

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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

AggreScale

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Reposted by Nate Phillips

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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Reposted by Nate Phillips

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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Reposted by Nate Phillips

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

Thanks dude! Couldn’t have seen this one through without your support

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

Thanks a ton, Josh! I really appreciate it (and will definitely be sad to leave the nest)

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

A massive thanks goes to my coauthors: @jdmiller.bsky.social, Nate Carter, Jess Maples-Keller, @sheilarauch.bsky.social, Barbara Rothbaum, and @courtlandhyatt.bsky.social. Code, raw output, and supplemental materials are all on the OSF page: osf.io/e35my/overview

osf.io

OSF

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

Anyway, this turned into one of my favorite projects in grad school, and I'm super grateful to the folks at @ehcveteransprogram.bsky.social for both providing an amazing three years of clinical training and supporting me in tackling this research question

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

In the end, the data suggest that cohorts vary in their symptom trajectories far less than clinical intuition might imply. Still, this is only one sample, and I’d love to see this cohort-level personality framework extended to other populations, presenting concerns, and treatment modalities

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

We interpret the cohort-level Neuroticism finding (very) speculatively and suggest that perhaps being in a treatment cohort characterized by heightened negative affectivity is modestly beneficial in the context of exposure-focused treatment

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

At first glance, this resembles a “room for improvement” or regression-to-the-mean finding. While we can't (and shouldn't) rule that out, it's notable that other cohort traits similarly associated with greater baseline severity, like lower Extraversion, were not associated with symptom trajectories

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

Nearly all cohort-level personality effects were null. The only robust finding was that higher cohort-level Neuroticism was associated with greater baseline severity and steeper symptom reductions during treatment, contrary to our hypothesis

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

Overall, variance in symptom trajectories was mostly attributable to between-person differences. Modest cohort-level variability in intercepts (2-5%) and slopes (1-2%) was found within but not following treatment. Cohort-level symptoms, on average, were highly standardized and decreased over time

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

Thanks to Blimp (and the wonderful folks there who helped me get up to speed on the program's syntax), we estimated these models under multiple missing-data assumptions and across a range of theoretically relevant covariates and sensitivity analyses.

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

In other words, we estimated a series of three-level conditional growth models where we nested observations (N = 7,241) within patients (N = 788), who were then nested within cohorts (N = 232)

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

We took patients’ Five-Factor Model personality scores, aggregated them to the cohort level, and tested whether cohort personality predicted differences in symptom trajectories during treatment and up to 12 months later, controlling for patients’ own personality scores.

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

So using nearly 10 years of data from the Emory Healthcare Veterans Program, a 2-week intensive outpatient program delivering CBT to veterans and active duty servicemembers, we examined this intuition.

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