UC Merced Quantitative Methods Measurement & Stats
@UCM_QuantPsych
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Official Twitter/X handle of the Quantitative Methods, Measurement, and Statistics program at @UCmerced. Views expressed are our own.
Merced, CA
Joined September 2018
🎉New Pub in Structural Equation Modeling! What happens to model fit when assumptions fail in Bayesian latent mediation models? Haiyan Liu, Ihnwhi Heo @IhnwhiHeo, Aleksandr Ivanov @IvanovAlex21170, & Sarah Depaoli put it to the test. See what holds up! 🔗 https://t.co/8kHz7hrgOV
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Check out this new paper in @JAMAPediatrics that I did the analyses for!
A coordinated, community-wide intervention in five US counties significantly reduced both substantiated and unsubstantiated child sexual abuse (CSA) reports at the population level. https://t.co/nxdn5mImNy
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📢 Our grad student, Fei Gao, is presenting at #IMPS2025 @pmetricsoc! He will be sharing his work on addressing misclassification in binary variables within mediation analysis! He's excited to connect with researchers from around the world! #QuantitativePsychology #Psychometrics
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🚨New Pub! Led by Sarah Depaoli, with Fan Jia and Marieke Visser (our proud alum, now at @UNCG), our paper is out in Structural Equation Modeling! We show how small-variance priors in Bayesian SEM can uncover hidden effects in LCA models. Check it out: https://t.co/VnOt1DBVId
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🚀Ready for takeoff! Ihnwhi Heo (@IhnwhiHeo) is taking the stage at #APS25DC Methodology Flash Talks & Networking by @PsychScience! He'll present his newly accepted Behavior Research Methods paper on recovering knot locations in Bayesian piecewise growth models. Come and connect!
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🎉 Cheers to our first-year quant student, Fei Gao, for delivering a great first-year talk! Fei presented on extensions of mediation analysis models with binary variables. A wonderful wrap-up to the year!
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🚨Catch our grad student Yue Li at WPA @WPAwesternpsych! She's presenting a simulation study on multilevel mediation models with small samples, focusing on estimating indirect effects using ML and Bayesian methods. Into multilevel SEM, mediation, or missing data? Don't miss it!
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📈 Proud moment! Quantitative Methods, Measurement, and Statistics (QMMS) group is part of this momentum. Our group is young but growing impressively, with a strong record of impactful pubs and methodological contributions to the field 👏 Big clap to all our amazing quant folks!
.@ucmerced's School of Social Sciences, Humanities and Arts made a splash in the latest rankings by U.S. News & World Report. The Political Science grad program tied for 52nd in the nation and the Psychological Sciences grad program tied for 95th. 🎉 https://t.co/bOE7rYhiby
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📢 Pub Alert! New paper in Structural Equation Modeling on parameter recovery under misspecified latent mediation models in the Bayesian framework. Led by Haiyan Liu, with Ihnwhi Heo (@IhnwhiHeo), Sarah Depaoli, & Aleksandr Ivanov. https://t.co/xStElZJg1V Congrats to the team!👏
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Dear future psychological methodologists and statisticians! 🎓 Looking for a Quant PhD program that is collaborative, productive, and supportive? Our team at UC Merced is excited to review your applications! 😊 Take note and read on! 🔗 https://t.co/LBcIrbbqt7)
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And there's more! Discover the research topics and meet the current students of Dr. Ren Liu, Dr. Meng "Chris" Qiu, and Dr. Yueqi Yan! 🌟
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Curious to explore the research expertise and meet the current students of Dr. Sarah Depaoli, Dr. Fan Jia, and Dr. Haiyan Liu? 🌟 Dive into their innovative work and see what makes their mentorship unique!
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Dear future psychological methodologists and statisticians! 🎓 Looking for a Quant PhD program that is collaborative, productive, and supportive? Our team at UC Merced is excited to review your applications! 😊 Take note and read on! 🔗 https://t.co/LBcIrbbqt7)
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🎉Attention! Check out the latest open-access publication from our graduate student, @IhnwhiHeo! 👏 We're excited to highlight this contribution!
🎉New Open-Access Pub! Excited to share that our team of quantitative methodologists (Sarah Depaoli, Fan Jia, Haiyan Liu, and I) published an article on Bayesian piecewise growth mixture models for school psychologists! Check it out here! https://t.co/LeG3QYX0h6
@UCM_QuantPsych
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Happy Saturday! As part of JSP's special issue on Bayesian Methods, read Heo et al.'s (2024) article on "Bayesian approach to piecewise growth mixture modeling: Issues and applications in school psychology" https://t.co/2s8MUtfsxR.
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@PsychScience 📢 Our graduate student, Madelin Jauregui, with her lab mate Ihnwhi Heo and advisors Sarah Depaoli and Haiyan Liu, will present a poster on the performance of Bayesian fit indices for enumerating classes in growth mixture models. Be sure to visit her! #aps2024sf @PsychScience
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@PsychScience 📢 Our graduate student, Aleksandr Ivanov, along with his advisor, Haiyan Liu, will be presenting a poster on the Bayesian exploration of bifactor exploratory structural equation modeling. Doesn't that sound exciting? #aps2024sf @PsychScience
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@PsychScience 📢 Our graduate student, Evelyn Shifflett, with her advisors, Fan Jia and Haiyan Liu, will be presenting a poster on propensity score analysis methods combined with multiple imputation algorithms for handling missing data. Come and discuss! #aps2024sf @PsychScience
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📢 Join us for our symposium on "Model Fit Assessment of Bayesian Structural Equation Modeling”! Speakers include Sonja Winter (@winterstat), Ihnwhi Heo (@IhnwhiHeo), and Haiyan Liu, with Sarah Depaoli as the discussant. @PsychScience #aps2024sf
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