I am a quantitative methodologist specializing in causal inference and experimental methods. My work uses eye tracking to obtain direct measures of decision processes, information accrual, and attention. Substantively, I study questions of voter behavior, with an emphasis on affective polarization. I am currently a Quantitative UX Researcher at Meta.
Odd attribute combinations in conjoint tables don't meaningfully affect respondents' attention or choices.
Rising affective polarization increases belief in misinformation that favors your own party — and decreases belief in misinformation that favors the other side.
A preregistration template for eye-tracking studies, developed with the Center for Open Science, covering calibration, preprocessing, area-of-interest construction, and …
As conjoint tables grow more complex, respondents selectively adjust their attention while their choices stay remarkably stable.