Studying Identities with Experiments: Weighing the Risk of Posttreatment Bias Against Priming Effects
Scholars from across the social sciences argue that identities – such as race, ethnicity, and gender – are highly influential over individuals’ attitudes, actions, and evaluations. Experiments are becoming particularly integral for allowing identity scholars to explain how these social attachments s...
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Published in | Journal of experimental political science Vol. 7; no. 1; pp. 56 - 60 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Washington
Cambridge University Press
01.01.2020
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Abstract | Scholars from across the social sciences argue that identities – such as race, ethnicity, and gender – are highly influential over individuals’ attitudes, actions, and evaluations. Experiments are becoming particularly integral for allowing identity scholars to explain how these social attachments shape our political behavior. In this letter, we draw attention to how identity scholars should approach the common practice of assessing moderators, measuring control variables, and detecting effect heterogeneity using covariates. Special care must be taken when deciding where to place measures of demographic covariates in identity-related experiments, as these cases pose unique challenges from how scholars traditionally approach experimental design. We argue in this letter that identity scholars, particularly those whose subjects identify as women or minorities, are often right to measure covariates of interest posttreatment. |
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AbstractList | Scholars from across the social sciences argue that identities – such as race, ethnicity, and gender – are highly influential over individuals’ attitudes, actions, and evaluations. Experiments are becoming particularly integral for allowing identity scholars to explain how these social attachments shape our political behavior. In this letter, we draw attention to how identity scholars should approach the common practice of assessing moderators, measuring control variables, and detecting effect heterogeneity using covariates. Special care must be taken when deciding where to place measures of demographic covariates in identity-related experiments, as these cases pose unique challenges from how scholars traditionally approach experimental design. We argue in this letter that identity scholars, particularly those whose subjects identify as women or minorities, are often right to measure covariates of interest posttreatment. |
Author | Klar, Samara Leeper, Thomas Robison, Joshua |
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SubjectTerms | Bias Ethnic identity Ethnicity Experiments Heterogeneity Identification Immigration Intellectuals Partisanship Political behavior Political science Preferences Priming Race Researchers Social sciences |
Title | Studying Identities with Experiments: Weighing the Risk of Posttreatment Bias Against Priming Effects |
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