2017
DOI: 10.1017/xps.2017.1
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How Does Treatment Self-Selection Affect Inferences About Political Communication?

Abstract: Ecological validity is vital to experimental research because designs that are too artificial may not speak to any real-world political phenomenon. One such concern is treatment self-selection: if individuals in the real world self-select treatments, such as political communications, how well does the sample average treatment effect estimate the effects of message exposure for those individuals who would -if given the choice -opt-in to and out of receiving treatment? This study shows that randomization masks e… Show more

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Cited by 27 publications
(10 citation statements)
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“…Importantly, we estimate what would happen if everyone were exposed to a particular message. We do not estimate the impact of the message on those who would choose to be exposed to it through their selection of paper (Leeper 2017).…”
Section: Results: Differences Across Newspapersmentioning
confidence: 99%
“…Importantly, we estimate what would happen if everyone were exposed to a particular message. We do not estimate the impact of the message on those who would choose to be exposed to it through their selection of paper (Leeper 2017).…”
Section: Results: Differences Across Newspapersmentioning
confidence: 99%
“…The fact that we find an effect of this size is notable given that (as shown below) the impact of tweets on knowledge varies according to the source of the tweets, thus making this a conservative estimate of the potential effect of exposure to topic-specific information on Twitter to improve knowledge. 11 Leeper (2017) demonstrates the limitations of a randomized trial in estimating this quantity of interest. Calculating the average treatment effect of media exposure over an entire sample can mask significantly heterogeneous treatment effects.…”
Section: Social Media Use and Political Knowledgementioning
confidence: 99%
“…Partisan news can be persuasive to these individuals. Separately estimating these effects for people with different media-viewing preferences can help detect important heterogeneity in the effects of partisan media (e.g., Gaines and Kuklinski 2011; Leeper 2017). We demonstrate that reading partisan news on a politically salient topic can change people’s opinions, as well as their actions, to different degrees depending on their media preferences.…”
Section: Resultsmentioning
confidence: 99%
“…The PICA design builds upon the general framework known in the medical literature as the patient preference trial (PPT). As noted, some existing political science research employs PPT frameworks, incorporating participants' preferences over treatment options (Torgerson and Sibbald, 1998) to examine the effects of experimental treatments that may vary depending on those preferences (Gaines and Kuklinski, 2011;Leeper, 2017). This step makes it possible to avoid relying on self-reported ideology to identify people's media preferences.…”
Section: Designmentioning
confidence: 99%