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Posts by Anthony D. Ong

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Your social connections can influence critical health outcomes. Research from @anthonyong.bsky.social & Frank Mann finds that cumulative social advantage is correlated with better health and lower mortality risk across demographic groups. Read the Editor’s Choice article: https://bit.ly/4bVVyxy

4 days ago 1 1 0 0

with @kvanbogart.bsky.social @ekgraham22.bsky.social @emoriebeck.bsky.social Zoe Hawks

1 month ago 3 0 0 0
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Loneliness modulates social threat detection in daily life - Communications Psychology Using ecological momentary assessment and multilevel time-series models, we quantify loneliness inertia and its links to perceived social threat and social behavior, identifying dynamic patterns that ...

New paper led by SJ Shao in @commspsychol.nature.com. Across 20 days of EMA (5x daily), momentary loneliness prospectively predicted heightened social threat perception and social withdrawal. Trait loneliness amplified loneliness–rejection coupling and social disengagement @emoriebeck.bsky.social

1 month ago 41 21 1 0
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Edward L. Deci, 83, Dies; Found Self-Determination as a Key to Happiness

Edward L. Deci, 83, Dies; Found Self-Determination as a Key to Happiness www.nytimes.com/2026/02/26/s...

1 month ago 24 9 0 2
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Social Asymmetry and Risk of Morbidity and Mortality This cohort study evaluates the associations between social asymmetry and risk of incident morbidity and mortality in a national population cohort.

In @jamanetworkopen.com: “Social asymmetry" predicts CVD, COPD, and mortality over 13.6 yrs in 7,845 older adults. Those lonelier than expected given their social connections were at greatest risk. w/ Pei Qin, @ekgraham22.bsky.social, @andrewsteptoe.bsky.social jamanetwork.com/journals/jam...

2 months ago 2 0 0 0
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JOB ALERT 🚨 Postdoc opportunity! Join our NIA-funded collaboration with Northwestern (@ekgraham22.bsky.social) studying social isolation, loneliness, and cognitive aging. Come work with us in beautiful Ithaca! Review of applications begins immediately: academicjobsonline.org/ajo/jobs/31543

3 months ago 5 8 0 0
APA PsycNet

New paper with Sijing Shao in Emotion on affective inertia—why it’s harder to measure than it looks, and what to do about it. Thanks to Pete Koval for thoughtful comments.
doi.org/10.1037/emo0...

3 months ago 3 0 0 0
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Submit your article for consideration in a special issue of Emotion on how affective processes—ranging from "fast" momentary and day-to-day fluctuations to "slow" gradual trajectories—predict health outcomes. Letters of intent due January 15, 2026: https://bit.ly/44kfsy0 @anthonyong.bsky.social

3 months ago 5 2 0 1

Call for papers: Emotion special issue on Affect Dynamics Across Multiple Timescales (moments→days→years) and links to mental and physical health. Letters of intent due Jan 15, 2026. Details/submission:

www.apa.org/pubs/journal...

Please share with colleagues/trainees. @affectscience.bsky.social

4 months ago 21 18 0 3
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➡️Special issue for protocols and data notes at @bsamjournal.bsky.social - any area of health psychology/behavioral medicine welcome! If a protocol was peer reviewed by a funder, it may be eligible for rapid review 👀 Accepting submissions through 6/1/2026. Details: journals.lww.com/bsam/Documen...

9 months ago 9 8 0 1
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JOB ALERT🚨 We are hiring a postdoc. Review of applications will begin immediately, and will continue until the position is filled. Come work with us and enjoy the natural beauty of Ithaca! More info here: academicjobsonline.org/ajo/jobs/29872

1 year ago 4 6 0 1
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😊 Celebrate positive emotions in science! Join us in Portland, OR on March 20, 2025, for a day of breakthroughs: keynote by Prof. Jeanne Tsai, expert talks, flash talks, and posters (w/ lunch)! Submit your abstract in December for a chance to win Best Poster/Flash Talk! #SAS2025 #affectscience

1 year ago 2 1 0 0

Big congratulations, Mark!

1 year ago 0 0 0 0
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As someone who studies a Thing That Doesn't Happen Very Often, it's so helpful to see this proposed analytic framework for zero-inflated intensive longitudinal data. You run a multilevel SEM that separately models the outcome in binary and continuous ways. psycnet.apa.org/record/2025-...

1 year ago 17 4 1 0
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Compared to a lot of other subfields, always enjoy the amount of physiometric research in EEG research.

Will have to play around with the ERP Reliability Analysis Toolbox when I get the amplifiers up and running

by Peter Clayson

pubmed.ncbi.nlm.nih.gov/38228400/

1 year ago 9 1 1 0
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Unsupervised Model Construction in Continuous-Time Many of the advancements reconciling individual- and group-level results have occurred in the context of a discrete-time modeling framework. Discrete-time models are intuitive and offer relatively ...

My first paper as an Assistant Professor at UC Davis is out in the journal SEM!

In the paper, we introduce a continuous-time extension to the GIMME model implemented in OpenMx. It uses iterative tests of modification indices to construct group- and person-specific dynamic networks!

1 year ago 58 13 5 1
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his substack is good, too

1 year ago 2 0 1 0
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Like so many, I’m new here and excited to share a short 🧵 about our paper in the current issue of Nature Human Behaviour (@naturehumbehav.bsky.social)!

Key takeaway: The influence of emotions on financial decision-making is not universal but varies substantially and systematically across countries.

1 year ago 19 8 1 0
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Changes to the classification

Big news from Finnish publication forum. Almost all MDPI and Frontiers journals will be downgraded to level 0 and thus are not considered as properly peer reviewed trustworthy scientific journals.
julkaisufoorumi.fi/en/news/chan...

1 year ago 404 276 18 45
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GitHub - microsoft/markitdown: Python tool for converting files and office documents to Markdown. Python tool for converting files and office documents to Markdown. - microsoft/markitdown

Microsoft just released a tool that lets you convert Office files to Markdown. Never thought I'd see the day.

Google also added Markdown export to Google Docs a few months ago.

github.com/microsoft/markitdown

1 year ago 524 127 24 24
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Introducing PowerLMM.js!

A new tool for power analysis of longitudinal linear mixed-effects models (LMMs) – with support for missing data, plus non-inferiority and equivalence tests.

powerlmmjs.rpsychologist.com

Would really appreciate your feedback as I refine this app! Details below 🧵👇

1 year ago 299 111 11 10
Abstract that reads How different racial minorities experience racism differently remains underexplored in existing research. Here, we show that Asian and Black people are often dehumanized differently. Twelve studies spotlight a racial asymmetry in dehumanization using a wide array of methods (experimental, archival, and computational) and data sources (online samples, word embeddings, and U.S. Bureau of Labor Statistics data): Whereas Black people are more often subjected to animalistic dehumanization, Asian people are predominantly subjected to mechanistic dehumanization. We demonstrate this asymmetry from the vantage point of victims (Studies 1a and 1b) and perpetrators (Studies 2a–2d). We further document the prevalence of this asymmetry across diverse domains, from everyday language (Study 3) to perceptions in the realms of romantic relationships (Study 4a), crime rates (Study 4b), and business skills (Study 4c). Finally, we demonstrate the asymmetry’s real-world consequences in labor market segregation (Studies 5 and 6). Our findings shed light on the distinct experiences of racism encountered by different racial groups and, more critically, introduce a framework that unifies and integrates scattered empirical observations on perceptions of Asian people.

Abstract that reads How different racial minorities experience racism differently remains underexplored in existing research. Here, we show that Asian and Black people are often dehumanized differently. Twelve studies spotlight a racial asymmetry in dehumanization using a wide array of methods (experimental, archival, and computational) and data sources (online samples, word embeddings, and U.S. Bureau of Labor Statistics data): Whereas Black people are more often subjected to animalistic dehumanization, Asian people are predominantly subjected to mechanistic dehumanization. We demonstrate this asymmetry from the vantage point of victims (Studies 1a and 1b) and perpetrators (Studies 2a–2d). We further document the prevalence of this asymmetry across diverse domains, from everyday language (Study 3) to perceptions in the realms of romantic relationships (Study 4a), crime rates (Study 4b), and business skills (Study 4c). Finally, we demonstrate the asymmetry’s real-world consequences in labor market segregation (Studies 5 and 6). Our findings shed light on the distinct experiences of racism encountered by different racial groups and, more critically, introduce a framework that unifies and integrates scattered empirical observations on perceptions of Asian people.

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Asian people and Black people can both face dehumanization in the US, but the type differs: Asian = machine, Black = animal

osf.io/preprints/ps...
psycnet.apa.org/record/2025-...

#prejudice #socpsych #polpsych #psyscisky

1 year ago 118 41 4 5
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A prospective study of U.S. veterans spanning before and during COVID finds nearly 40% experienced rising loneliness over 3 years. Marriage and purpose in life reduced risk, while early trauma and mental health challenges heightened vulnerability. doi-org.proxy.library.cornell.edu/10.1093/gero...

1 year ago 2 0 0 0

here you go: static1.squarespace.com/static/58daa...

1 year ago 0 0 0 0
APA PsycNet

📊New study published in Emotion sheds light on affect dynamics in depression. Analysis of 842 adults over 56 days shows negative affect becomes more 'sticky' rather than unstable. This suggests emotional predictability, not instability, may be key. psycnet.apa.org/record/2025-...

1 year ago 40 7 2 1

Alright, the issue is complete with the Woensdregt et al. paper being officially published!

1 year ago 4 3 0 0
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Lessons for Theory from Scientific Domains Where Evidence is Sparse or Indirect - Computational Brain & Behavior In many scientific fields, sparseness and indirectness of empirical evidence pose fundamental challenges to theory development. Theories of the evolution of human cognition provide a guiding example, ...

📝 New paper: Woensdregt, M., Fusaroli, R., Rich, P. et al. Lessons for Theory from Scientific Domains Where Evidence is Sparse or Indirect. Comput Brain Behav (2024). doi.org/10.1007/s421...

1 year ago 54 19 3 6

For the quant methods people in my circle:

Tenure-track Assistant Professor specializing in measurement and psychometric issues related to complex data structures.

1 year ago 28 19 1 0
PNAS Proceedings of the National Academy of Sciences (PNAS), a peer reviewed journal of the National Academy of Sciences (NAS) - an authoritative source of high-impact, original research that broadly spans...

🥳 Exciting news! My first paper is out now in @pnas.org

This work was a great collaboration between @ycleong.bsky.social , Chelsey Pan, & @leorhackel.bsky.social

We examined how the brain learns from experiences of social acceptance and rejection🧵👇

www.pnas.org/doi/10.1073/...

1 year ago 42 14 1 2
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Suzanne C. Segerstrom, PhD, MPH My research primarily addresses the interactions among psychological, cognitive, immunological, and physical health in older adults. For example, how does personality affect risk for Alzheimer’s disea...

I'm looking to add a PhD student and a post-doctoral scholar to my lab! Possible research foci: #personality, #selfregulation, repetitive thought, cognition, pain, inflammation, and/or immunological #aging. More info about the lab here: health.oregonstate.edu/directory/su... #PsychSciSky #PNI

1 year ago 6 6 1 2