Value Conflict Measurement

Being undecided can reflect indifference or ignorance, weak reactions in both directions. Value conflict is the opposite: strong, important values pulling firmly in opposite directions. The measurement captures this by requiring that both relevant values be rated important and roughly equal, and by indexing ambivalence as the co-presence of strong positive and negative reactions. A genuinely conflicted citizen cares a great deal about the issue, which is why their opinion is hard to settle, not because they are apathetic.

Integrative complexity describes reasoning that differentiates multiple perspectives and integrates them into a coherent view. It is scored from open-ended responses by trained coders using established rubrics, with higher scores for arguments that acknowledge competing considerations and connect them. Tetlock's value pluralism model predicts that complexity rises when an issue activates conflicting, important, equally weighted values, so analysts correlate coded complexity with measured value conflict to test the model.

Feldman and Zaller argue that people do not store a single fixed attitude but sample from a pool of stored considerations when answering. When that pool contains strong opposing considerations rooted in conflicting values, the answer depends on which considerations happen to be salient, so responses shift over time and with framing. Ambivalence is therefore the mechanism linking value conflict to the instability and context-dependence of survey opinion.