Replication Data for: Testing Theories about Advocacy and Public Policy|公共政策数据集|理论测试数据集

One critical way social scientists contribute to our understanding of policy change is developing and testing theories to explain the impact of advocacy–efforts by non-party organizations and activists to influence policy–on policy. What does the theory testing discover? To find out, this article analyzes all tests of such theories published in 25 major journals in political science and sociology between 2000 and 2018. Nineteen theories have been tested. They are generally quite similar, proposing that advocacy will affect policy and seeing electoral concerns as the basis of influence. But they differ in terms of whose impact they seek to explain; there are different theories for interest groups, social movement organizations, and non-governmental organizations. Predictions made by the theories are consistent with the data just over half the time. The theory-testing articles fail to show what their findings add to the weight of evidence for or against their theories, rarely test competing theories against each other, and seldom generalize or make specific suggestions for future work. This article highlights the most constructive suggestions for future work and argues for breaking down barriers between subdisciplines and systematically spelling out the value added by each new test of theory.