3/ To me, that signals something important: students aren't afraid of quant methods. They just need to be given the opportunity. Ever to excel. #QuantMethods#PoliticalScience
Analizamos 18 países (1997–2020) con datos panel y múltiples métodos:
• OLS
• Random Effects
• Fixed Effects
• Two-way Fixed Effects
• IV
👉 Evidencia robusta y comparada
#QuantMethods#DataScience#PoliticalEconomy
I had a blast on the latest episode of The Great I-O Get Together (GIG) with Richard Landers and Tara Behrend — and I'm excited to finally get to share it!
We covered a lot of ground in 40 minutes:
📊 Teaching NHST the right way
🤖 AI in the stats classroom
🎓 The hidden curriculum in I-O
Listen to the episode here: thegig.online/podcast/teachi…
(or on Apple Podcasts, Spotify, etc.)
Honored to join a great lineup that includes Franki Kung on research design, Tianjun Sun on psychometrics, and Ivan Hernandez and Louis Hickman on machine learning, and so many others — check out their episodes too!
#iopsych#statistics#teaching#pedagogy#SIOP#quantmethods#highered
“The upper bound of plausible estimates” may adequately describe the published results in many areas of #socialPsych. 😅
And that label also makes some sense of the #QuantMethods folks who recommend we pay more attention to the “smallest effect size of interest” (SESOI).
A simple breakdown of the full quantitative thesis format—from abstract to appendices. Ideal for new researchers and PhD scholars.
#PhDCommunity#ResearchWriting#QuantMethods
Exciting news for Spring 2026! 🎉
QMSS welcomes Dr. Dan McNeish for a hands-on workshop on Dynamic SEM on April 3rd.
It’s still a few months away, but you’ll want this on your radar.
RSVP: tinyurl.com/qmssworkshop#UCSB#QuantMethods#DSEM#QMSS
Join us for this week’s QMSS Seminar!
📊 Dr. Tony Coburn (UCSB Statistics & Applied Probability) will present: “Understanding and Correcting Publication Bias in Meta-Analysis”
📅 Thurs, Dec 4 | 12:30–1:45 PM
📍 ED 1201
Open to all! #QMSS#UCSB#QuantMethods#MetaAnalysis
📍ESS Course spotlight: Spatial Econometrics
Learn to model spatial dependencies in social science data using R, with expert guidance from Dr Martin Steinwand & Dr Muzhou Zhang
📅 21 July–1 August
🌍 Hybrid
🔗 essexsummerschool.com#PoliSky#QuantMethods#EssexSummerSchool
🎓 Did you know you can build on your Essex Summer School courses with a formal qualification!
The MA in Social Science Data Analysis lets you combine ESS course credits with a research thesis to earn a Master’s degree — flexible, practice-oriented, and designed for social scientists.
Learn more:
👉 essexsummerschool.com/summer…#EssexSummerSchool#SocialScience#QuantMethods#MA#DataScience
ALT Promotional flyer for the Essex Summer School course Introduction to Social Network Analysis, taught by Dr John Barry Ryan. The flyer explains that the course covers how individuals influence each other in social groups, using social network analysis and methods for cases where full network data isn’t available. It also includes collecting and analysing network data, creating R visualisations, and designing surveys. Includes a photo of Dr Ryan and the Essex Summer School logo.