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Title The Roots of Political Resentment: Racial Resentment from Rural Consciousness
Post date 02/05/2019
C1 Background and Explanation of Rationale There is an extensive literature regarding the role of racial resentment in political decision-making/ preferences; see Banks and Valentino (2012), for example. However, Katherine Cramer of the University of Madison, Wisconsin in 2016 wrote a book explaining that for rural residents, place-based preferences are often central to political decision-making. She argues that although racial biases still can and do play a role, that role is much smaller than previously assumed. This experiment, using a 2x3 design, attempts to disentangle racial resentment from rural consciousness by controlling the perception of which parts of a respondent’s state will benefit from a proposed education bond measure while varying the implications of which race will primarily benefit.
C2 What are the hypotheses to be tested?

The main dependent variable is respondent support for the education variable (on a 4-point scale from strongly oppose to strongly support). Also included is a feelings thermometer to capture additional variation.

We also measure key moderators, such as racial resentment (using the Kinder and Sanders (1996) battery of questions) and rural consciousness (using a battery of questions developed by Cramer herself).

The main hypotheses will revolve around the relative effects of racial resentment and rural consciousness on support for the education bond measure. Please see pre-analysis plan for more detailed hypotheses.

C3 How will these hypotheses be tested? * Because we are using a population-based survey experiment, we will use t-tests as well as multiple regressions to test the hypotheses. See pre-analysis plan for more detailed methodology.
C4 Country United States
C5 Scale (# of Units) ~2600
C6 Was a power analysis conducted prior to data collection? No
C7 Has this research received Insitutional Review Board (IRB) or ethics committee approval? Yes
C8 IRB Number 11295
C9 Date of IRB Approval 12/17/18
C10 Will the intervention be implemented by the researcher or a third party? The survey company Cint will implement the survey.
C11 Did any of the research team receive remuneration from the implementing agency for taking part in this research? No
C12 If relevant, is there an advance agreement with the implementation group that all results can be published? not provided by authors
C13 JEL Classification(s) R190