Currently in FirstView: In “Adaptive Randomization in Conjoint Survey Experiments,” @jennahgosciak.bsky.social, @dmolitor.bsky.social, and @ianlundberg.bsky.social develop an adaptive design for conjoint experiments that summarizes the range of effects of one attribute as a function of all others.

#OpenAccess from @polanalysis.bsky.social - Adaptive Randomization in Conjoint Survey Experiments - https://cup.org/48hKGbd - @jennahgosciak.bsky.social, @dmolitor.bsky.social & @ianlundberg.bsky.social#OpenAccess #FirstView

If you run conjoint experiments, you need to read this. Most conjoints estimate average effects for each attribute. But what if the effect of one attribute depends on the others? This paper has got you covered!

[New preprint!] Do Chinese AI Models Speak Chinese Languages? Not really. Chinese LLMs like DeepSeek are better at French than Cantonese. Joint work with Unso Jo and @dmimno.bsky.social . Link to paper: arxiv.org/pdf/2504.00289 🧵