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
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! 🔗
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RT @UCM_QuantPsych: Dear future psychological methodologists and statisticians! 🎓 Looking for a Quant PhD program that is collaborative, pr…
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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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🎉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! @UCM_QuantPsych
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RT @JofSchoolPsych: Happy Saturday! As part of JSP's special issue on Bayesian Methods, read Heo et al.'s (2024) article on "Bayesian appro…
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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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📢 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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🎉Cheers to our first-year quant students, Aleksandr Ivanov and Madelin Jauregui, for giving great first-year talks! Aleksandr talked about Bayesian Exploratory Structural Equation Modeling, while Madelin presented Bayesian Growth Mixture Modeling. Nice wrap-up!🥂
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🔔Pub Alert! Our faculty, Sarah Depaoli & Haiyan Liu, along with proud alumna Sonja Winter (@winterstat), have published an insightful paper on model evaluation, addressing under-fitting and over-fitting issues in Bayesian structural equation modeling! 👏
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🌟New pub alert! Our graduate student, Ihnwhi Heo (@IhnwhiHeo) and his advisors (Fan Jia and Sarah Depaoli) evaluate Bayesian piecewise growth curve models in the presence of missing data. Great job Ihnwhi, now for the next one!
🥳My first first-authored research article, with Fan Jia & Sarah Depaoli (my amazing advisors at @UCM_QuantPsych), is now published in Structural Equation Modeling: A Multidisciplinary Journal! Excited about our next methodological journey!
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RT @mijkenijk: Do you know any undergrads curious about quant methods training (what it is, what it's good for, where to do it, how to get…
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📢 Initial review date extended to November 11th! We are waiting for enthusiastic methodologists and statisticians to push the boundaries of quantitative research at UC Merced. Don't miss out—apply now and join us!
🌟 Join us at UC Merced! 📚 Asst. Prof (Tenure-Track) of Quantitative Methods, Measurement, and Statistics Passionate about quantitative research and teaching? Eager to be part of the leading faculty in the world? We are waiting for you! 🙂 Apply here:
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🤣We're hooked! Thank you @Quantfish_Stats 😊
We'll go ahead and answer this one for you: Yes. Yes, you are interested in working with Sarah Depaoli.
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