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Experiments are a central methodology in the social sciences. Scholars from every discipline regularly turn to experiments. Practitioners rely on experimental evidence in evaluating social programs, policies, and institutions. This book is about how to “think” about experiments. It argues that designing a good experiment is a slow moving process (given the host of considerations) which is counter to the current fast moving temptations available in the social sciences. The book includes discussion of the place of experiments in the social science process, the assumptions underlying different types of experiments, the validity of experiments, the application of different designs, how to arrive at experimental questions, the role of replications in experimental research, and the steps involved in designing and conducting “good” experiments. The goal is to ensure social science research remains driven by important substantive questions and fully exploits the potential of experiments in a thoughtful manner.
Conjoint survey experiments have become a popular method for analyzing multidimensional preferences in political science. If properly implemented, conjoint experiments can obtain reliable measures of multidimensional preferences and estimate causal effects of multiple attributes on hypothetical choices or evaluations. This chapter provides an accessible overview of the methodology for designing, implementing, and analyzing conjoint survey experiments. Specically, we begin by detailing a new substantive example: how do candidate attributes affect the support of American respondents for candidates running against President Trump in 2020? We then discuss the theoretical underpinnings and key advantages of conjoint designs. We next provide guidelines for practitioners in designing and analyzing conjoint survey experiments. We conclude by discussing further design considerations, common conjoint applications, common criticisms, and possible future directions.
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