Explicit Evidence on the Import of Implicit Attitudes: The IAT and Immigration Policy Judgments

The implicit association test (IAT) is increasingly used to detect automatic attitudes. Yet a fundamental question remains about this measure: How well can it predict individual judgments? Though studies find that IAT scores shape individual evaluations, these inquiries do not account for an array of well-validated, theoretically relevant variables, thus raising the challenge of omitted variable bias. For scholars using the IAT, the risk here is one of misattributing to implicit attitudes what can be better explained by alternate and rigorous self-reports of explicit constructs. This paper examines the IAT’s performance in the context of U.S. immigration politics. Using a representative web survey of adults, I demonstrate the IAT effectively captures implicit attitude toward Latino immigrants. Critically, I then show these attitudes substantively mold individual preferences for illegal and legal immigration policy, net of political ideology, socio-economic concerns, and well-established measures of intolerance toward immigrants, such as authoritarianism and ethnocentrism. Combined, these results suggest the IAT measures attitudes that are non-redundant and potent predictors of individual political judgments.