Browsing Department of Information Science and Media Studies by Subject "causal inference"
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Beyond the Limits of Survey Experiments: How Conjoint Designs Advance Causal Inference in Political Communication Research
(Peer reviewed; Journal article, 2018-09-13)This paper calls attention to what is arguably the most notable advancement in survey experiments over the last decade: conjoint designs. The benefit of conjoint design is its capacity to study and compare the causal effects ...