Talbot Andrews

@talbotmandrews.bsky.social

Assistant Professor at Cornell. I study disasters, public opinion, political economy, and climate change 🌲Oregonian🌲

🥹IT'S REAL!!! I can hold it in my hand! My best attempt to explain the logic of quantitative social-scientific research--I truly hope folks enjoy it! It's officially out Aug 4th, but can be pre-ordered at @ucpress.bsky.social now *at 30% off* with discount code 𝐔𝐂𝐏𝐒𝐀𝐕𝐄𝟑𝟎. 👍

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This is just one guy's experience, but I have now seen several dozen posts angrily defending air conditioning and zero (0) posts from people who are against it. Where are all these anti-AC folks we're supposed to be mad at? Seriously asking.

Thrilled to announce my paper with @dianamejordan.bsky.social & sky-less Trent Ollerenshaw is now published open-access at @apsrjournal.bsky.social. In a (very) large replication & extension, we show that design effects of repeated measure experiments are nonzero but typically small. Thread:

Abstract for "New Evidence and Design Considerations for Repeated Measure Experiments in Survey Research" by Diana Jordan, Trent Ollerenshaw, and Andrew Trexler, published in the American Political Science Review. The abstract text reads: "We re-examine recent influential claims that repeated measure experimental designs offer large precision gains without biasing treatment effect estimates in survey research. We test these claims by experimentally varying the design of six classic political science experiments across three distinct large samples of U.S. adults (total N = 13,163). In contrast to prior evidence, we observe consistent attenuation of treatment effects in repeated measure designs. However, we show in simulations that this average design effect is small enough, and the precision gains large enough, that we recommend repeated measure designs for broad application—though (large-N) post-only designs may be preferable when research priorities include estimating the precise magnitude of a treatment effect. We additionally explore how several design considerations affect the bias-precision trade-off, such as within-subject versus between-groups designs, the relative separation of repeated measures within single surveys, and differences in respondent characteristics across sample types."
Cambridge University Press Political Science & IR@cambup-polsci.cambridge.org · 3mo ago

#OpenAccess from @apsrjournal.bsky.social - New Evidence and Design Considerations for Repeated Measure Experiments in Survey Research - https://cup.org/4sVtFLj - @dianamejordan.bsky.social, TRENT OLLERENSHAW & @atrexler.com #FirstView

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For folks headed to MPSA next week, the Association for Politics and the Life Sciences is hosting an open conference within a conference! Friday afternoon in Monroe, free food & drinks, & the events are a typical research panel (1:15) & a roundtable (3:20) on doing research during -these times-.

ICYMI my solo article on MENA identity. When MENA Americans aren’t given a “MENA” option on forms, they answer identity-related questions on politics more strongly (eg higher end of the scale) than if“MENA” had been added. Having the group label or not changes the average response!

American Political Science Review@apsrjournal.bsky.social · 4mo ago

From our FirstView article: What Happens When You Can’t Check the Box? Categorization Threat and Public Opinion among Middle Eastern and North African Americans by @asdurso.bsky.social. doi.org/10.1017/S000...

⏳One month left to nominate papers for APSA's Experimental Research Section’s Best Paper Award! We’re excited to read creative experimental work tackling big political questions. Self-nominations welcome (and discussants, please nominate your panelists)!

Chagai Weiss@chagaiweiss.bsky.social · 9mo ago

🏆APSA's Experimental Research Section Best Paper Award🏆 Did you present an experiment at APSA2026? Submit your conference paper for the Experimental Research Section's best paper award by April 15, 2026. @sumitra.bsky.social @talbotmandrews.bsky.social and I are excited to read your work!