Siwei Liu
siweiliu.bsky.social
Siwei Liu
@siweiliu.bsky.social
Professor & Director of the Intensive Longitudinal Methods Lab at UC Davis. https://siweiliu.weebly.com/
Reposted by Siwei Liu
Come work with us @unm.edu 🤩
Research Assistant Professor position at @unm.edu - join a dynamic team working with @cassie-boness.bsky.social. This position is to work on an NIH grant evaluating personalized medicine approaches for the treatment of alcohol use disorder. Submit via UNMJobs by Nov 26: unm.csod.com/ux/ats/caree...
Research Assistant Professor in Personalized Medicine for the Treatment of Alcohol Use Disorder
Seeking applicants for a Research Assistant Professor faculty position at the University of New Mexico on an NIH funded grant evaluating personalized ...
unm.csod.com
November 7, 2025 at 6:39 PM
Reposted by Siwei Liu
I'm hiring (another) post doc, this time in collaboration with Natalie Brito @nataliebrito.bsky.social at Columbia! We will be exploring some of the characteristics of human development using deep learning models. Email with questions!
iaejup.fa.ocs.oraclecloud.com/hcmUI/Candid...
Postdoctoral Fellow - Large Language Models as Models for Human Development
This position is part of the Post Doctoral Fellows Association and has an initial appointment of two years. This position has a comprehensive benefits package. Location - This role is in-person at Nor...
iaejup.fa.ocs.oraclecloud.com
October 31, 2025 at 6:09 PM
Reposted by Siwei Liu
New job ad: Assistant Professor of Quantitative Social Science, Dartmouth College apply.interfolio.com/172357

Please share with your networks. I am the search chair and happy to answer questions!
August 21, 2025 at 6:50 PM
Reposted by Siwei Liu
Interesting new special issue in Psychological Assessment.

Edited by Kristin Naragon-Gainey and @kstanton.bsky.social

Here's their overview paper: psycnet.apa.org/record/2026-...

And here's our contribution, which will win us no friends:
psycnet.apa.org/record/2026-...
October 24, 2025 at 4:00 PM
Reposted by Siwei Liu
Happy to share that our large-scale network analysis is now out in @nathumbehav.nature.com

We show that networks are often supported by too little evidence from the data for results to be reported with confidence, not meaning that results are flawed but rather suggests caution in interpretation.
October 13, 2025 at 8:36 AM
Reposted by Siwei Liu
Great study! A general implication is that when we infer effects of retrospectively measure variables on outcomes, we’re largely just seeing the effects of how people are currently feeling.
The GSS asked the same people about their childhood income rank three different times. 56% changed their answer, even though what was trying to be measured couldn’t change! We dig into this in a new article at @socialindicators.bsky.social. 



doi.org/10.1007/s112...

🧵👇 (1/5)
Growing up Different(ly than Last Time We Asked): Social Status and Changing Reports of Childhood Income Rank - Social Indicators Research
How we remember our past can be shaped by the realities of our present. This study examines how changes to present circumstances influence retrospective reports of family income rank at age 16. While retrospective survey data can be used to assess the long-term effects of childhood conditions, present-day circumstances may “anchor” memories, causing shifts in how individuals recall and report past experiences. Using panel data from the 2006–2014 General Social Surveys (8,602 observations from 2,883 individuals in the United States), we analyze how changes in objective and subjective indicators of current social status—income, financial satisfaction, and perceived income relative to others—are associated with changes in reports of childhood income rank, and how this varies by sex and race/ethnicity. Fixed-effects models reveal no significant association between changes in income and in childhood income rank. However, changes in subjective measures of social status show contrasting effects, as increases in current financial satisfaction are associated with decreases in childhood income rank, but increases in current perceived relative income are associated with increases in childhood income rank. We argue these opposing effects follow from theories of anchoring in recall bias. We further find these effects are stronger among males but are consistent across racial/ethnic groups. This demographic heterogeneity suggests that recall bias is not evenly distributed across the population and has important implications for how different groups perceive their own pasts. Our findings further highlight the malleability of retrospective perceptions and their sensitivity to current social conditions, offering methodological insights into survey reliability and recall bias.
doi.org
October 14, 2025 at 3:26 PM
Reposted by Siwei Liu
New paper out with @boryslaw.bsky.social 🥳 In which we sketch out how to rethink measurement invariance causally for applied researchers. And provide a causal definition of measurement invariance!

www.sciencedirect.com/science/arti...
September 11, 2025 at 9:11 AM
Reposted by Siwei Liu
Tenure-Track Quant Psyc job opening at Northern Arizona University in Flagstaff. Areas of interest are pretty broad (SEM, multilevel, or psychometrics), the deadline to apply is coming up soon (Sept 15) if you're interested!

careers.nau.edu/jobs/assista...
Assistant Professor, Psychological Sciences - Flagstaff, Arizona, United States
About the Department/College The Department of Psychological Sciences is located on the Flagstaff Mountain Campus of Northern Arizona University (NAU), situated at the base of San Francisco Peaks. NAU...
careers.nau.edu
September 3, 2025 at 9:21 PM
Reposted by Siwei Liu
AMPPS Call for Papers: Replicability and Reproducibility in Methodological Research. Proposals due September 15. @jkflake.bsky.social 

www.psychologicalscience.org
August 5, 2025 at 3:02 PM
Great post! I just read this paper by @drewhalbailey.bsky.social and colleagues that shows the RI-CLPM also performs better than CLPM when there are unmeasured time-varying confounders:

psycnet.apa.org/record/2025-...
June 27, 2025 at 6:12 PM
This work was officially accepted for publication today!
New work by my lab members Sebastian Castro-Alvarez and Di Jody Zhou, in collaboration with @eikofried.bsky.social @bringmannlaura.bsky.social and others.
1/2

Our new preprint shows how to estimate internal consistency reliability in EMA data:

➡️n~1150, 3 months data, 4 scales
➡️6 nomothetic & idiographic methods
➡️2 timescales (4/day & 1/week)
➡️2 languages (ENG vs NL)
➡️separation of between & within person reliability.

#psychscisky #stats
June 12, 2025 at 9:24 PM
Love it!
Thanks to everybody who chimed in!

I arrived at the conclusion that (1) there's a lot of interesting stuff about interactions and (2) the figure I was looking for does not exist.

So, I made it myself! Here's a simple illustration of how to control for confounding in interactions:>
May 12, 2025 at 10:20 PM
Reposted by Siwei Liu
🧵 US states that implemented abortion bans saw higher than expected infant mortality rates, with larger increases among Black infants and those in southern states, according to this analysis of US national vital statistics data from 2012–2023.

ja.ma/4aVchPn

#MedSky
February 13, 2025 at 5:13 PM
Reposted by Siwei Liu
Are psychometric networks sufficiently supported by data such that one can be confident when interpreting its results? We analysed 294 psychometric networks from 126 papers with the Bayesian approach to address this question @jmbh.bsky.social Sara Ruth van Holst @maartenmarsman.bsky.social 🧵
Statistical Evidence in Psychological Networks: A Bayesian Analysis of 294 Networks from 126 Studies: http://osf.io/62ydg/
January 24, 2025 at 11:02 AM
Reposted by Siwei Liu
7 steps to junk science that can achieve worldly success
statmodeling.stat.columbia.edu/2025/01/17/7...
7 steps to junk science that can achieve worldly success | Statistical Modeling, Causal Inference, and Social Science
statmodeling.stat.columbia.edu
January 17, 2025 at 2:48 PM
It’s fascinating to watch the exchanges between “TikTok refugees” and Chinese netizens on Rednote (Xiaohongshu)! Never imagined the “wall” would start to collapse in this way. Now I just worry that Rednote will get banned here if it becomes too popular😕
January 17, 2025 at 10:13 PM
Reposted by Siwei Liu
Non-native English speakers need 50% more time to write a paper

When they do, they face a 2.5 times higher chance of being rejected because of language

journals.plos.org/plosbiology/...
November 24, 2024 at 4:43 AM
Reposted by Siwei Liu
Wow. I’ve expressed concerns about Frontiers for a long time and won’t submit or review for them, but this suggests things are really bad.
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...
Changes to the classification
julkaisufoorumi.fi
December 16, 2024 at 5:05 PM
Reposted by Siwei Liu
Hi all! I'm looking for a short, accessible reading for 1st year UGs that covers:
1) contributors to the replication crisis(e.g., p-hacking, publication bias, researcher degrees of freedom)
2) initiatives to address it (e.g., preregistration, sharing data and code, registered reports).

Any tips?
December 11, 2024 at 7:08 PM
Reposted by Siwei Liu
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 🧵👇
December 11, 2024 at 10:20 AM
Reposted by Siwei Liu
West-coast (ish) Quant-Psych(ometric) friends! Ben Domingue and I are organizing a small conference to be held in Davis in June. Please apply to attend, we're going to have so much fun.
docs.google.com/document/d/1...
2025 PQPC RFA
Request for Applications 2025 Pacific Quant Psych Conf (PQPC) June 26-27 2025 UC Davis Center for Mind and Brain in Davis, CA We would like to build a community of researchers on the west coast (and...
docs.google.com
December 6, 2024 at 7:40 PM
I am considering switching from SAS to R in my graduate-level multilevel longitudinal data analysis class. Pro: R is free! Con: R is less flexible in terms of specifying the residual covariance matrix. Anything else I need to be aware of?
December 5, 2024 at 7:29 PM
New work by my lab members Sebastian Castro-Alvarez and Di Jody Zhou, in collaboration with @eikofried.bsky.social @bringmannlaura.bsky.social and others.
1/2

Our new preprint shows how to estimate internal consistency reliability in EMA data:

➡️n~1150, 3 months data, 4 scales
➡️6 nomothetic & idiographic methods
➡️2 timescales (4/day & 1/week)
➡️2 languages (ENG vs NL)
➡️separation of between & within person reliability.

#psychscisky #stats
November 26, 2024 at 12:10 AM