1 to 4 of 4 Results
Jan 12, 2017
Bullock, John, 2017, "Reference Rot: An Emerging Threat to Transparency in Political Science", https://doi.org/10.7910/DVN/Q8VDN0, Harvard Dataverse, V1, UNF:6:HufPtMFwXDY13FS7aDkTkQ== [fileUNF]
Transparency of research is a large concern in political science, and the practice of publishing links to datasets and other online resources is one of the main methods by which political scientists promote transparency. But the method cannot work if the links don’t, and very often, they don’t. We show that most of the URLs ever published in the Am... |
Apr 30, 2016
Bullock, John G., 2016, "Elite Influence on Public Opinion in an Informed Electorate", https://doi.org/10.7910/DVN/ZFS7LI, Harvard Dataverse, V1, UNF:6:liQZ3ne6lprpaoxa1AbtFg== [fileUNF]
An enduring concern about democracies is that citizens conform too readily to the policy views of elites in their own parties, even to the point of ignoring other information about the policies in question. This article presents two experiments that suggest an important condition under which the concern may not hold. People are rarely exposed to ev... |
Apr 30, 2016
Luskin, Robert C.; Bullock, John G., 2016, ""Don't Know" Means "Don't Know": DK Responses and the Public's Level of Political Knowledge", https://doi.org/10.7910/DVN/G9NOQO, Harvard Dataverse, V1, UNF:6:TkJzYP6j8sVV9GtalgrPeg== [fileUNF]
Does the public know much more about politics than conventionally thought? A number of studies have recently argued, on various grounds, that the “don’t know” (DK) and incorrect responses to traditionally designed and scored survey knowledge items conceal a good deal of knowledge. This paper examines these claims, focusing on the prominent and infl... |
Apr 30, 2016
Bullock, John G., 2016, "Partisan Bias and the Bayesian Ideal in the Study of Public Opinion", https://doi.org/10.7910/DVN/BPGCF0, Harvard Dataverse, V1
Bayes’ Theorem is increasingly used as a benchmark against which to judge the quality of citizens, but some of its implications are not well understood. A common claim is that Bayesians must agree more as they learn and that the failure of partisans to do the same is evidence of bias in their responses to new information. Formal inspection of Bayes... |