10.7910/DVN/CXQ8V1 Petrúšek, Ivan Ivan Petrúšek https://orcid.org/0000-0002-2554-2872 Institute of Sociology of the Czech Academy of Sciences Veselý, Arnošt Arnošt Veselý https://orcid.org/0000-0002-6141-7104 Institute of Sociological Studies, Faculty of Social Sciences, Charles University Soukup, Petr Petr Soukup https://orcid.org/0000-0001-9241-6529 Institute of Sociological Studies, Faculty of Social Sciences, Charles University Harvard Dataverse 2023 Social Sciences Petrúšek, Ivan Ivan Petrúšek Institute of Sociology of the Czech Academy of Sciences 2023-10-15 2023-10-15 2023-11-02 10.1111/ROPR.12581 367990 3272 24994 24938 23960 text/tab-separated-values application/x-spss-sps application/octet-stream application/octet-stream application/octet-stream 2.0 Creative Commons CC0 1.0 Universal Public Domain Dedication. The files contain a dataset and scipts for replicating the analyses presented in the article "Policy instruments attitudes and support for government responses against Covid‐19" accepted for publication in Review of Policy Research. The SPSS dataset contains data from an online survey conducted among students of Czech universities between October 10 and November 20, 2020. Abstract: An individual's political attitudes have been documented as the most important predictor of acceptance of government measures against the COVID‐19 pandemic. Their effect, however, is somewhat unclear and cannot be reduced to one dimension. In this article, we test whether general attitudes toward policy instruments might, together with left–right orientation, authoritarianism, social liberalism, and attitudes to state intervention, explain attitudes to policy instruments used to combat COVID‐19. The predictiveness of models of attitudes toward three different types of policy instruments to address the COVID‐19 pandemic was tested using a study of Czech university students). We found that individuals' general attitudes toward policy instruments are best measured by posing direct survey questions. Structural equation modeling was used to estimate the independent effects of general attitudes toward three different types of policy instruments on attitudes toward specific policy instruments for combating COVID‐19. We found that an individuals' general tendency to prefer an information, regulatory, or economic instrument significantly affects their attitude toward specific policy solutions, even after controlling for political orientation. These results provide novel empirical evidence for the autonomy of policy instruments attitudes (APIA) theory. The general attitudes toward policy instrument types are reflected in individuals' attitudes toward specific policy instruments, such as those used to combat COVID‐19.