Testing the Efficacy of Three Informational Interventions for Reducing Misperceptions of the Black–White Wealth Gap

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ISPS ID: 
D183
Suggested citation: 

Callaghan, Bennett, Leilah Harouni, Cydney H. Dupree, Michael W. Kraus, Jennifer A. Richeson (2022). Replication Materials for: ‘Testing the Efficacy of Three Informational Interventions for Reducing Misperceptions of the Black–White Wealth Gap.’ http://hdl.handle.net/10079/b8096b39-f018-4fa8-b0fb-9ce988d2370f. ISPS Data Archive.

Author(s): 

Michael Kraus, Jennifer Richeson, Leilah Harouni, Bennett Callaghan

Research design: 
Data type: 
Survey
Data source(s): 

Authors

Data source information: 

isps(at)yale(dot)edu

Field Date: 
2019-04 - 2020-11
Location: 
Location details: 
New Haven, CT
Unit of observation: 
Individual
Sample size: 
339 at time 1 (preintervention) and time 2 (postintervention), 223 at time 3 (follow-up #1), and 206 at time 4 (follow-up #4)
Inclusion/exclusion: 
Respondents were recruited through the Yale Behavioral Laboratory’s community subject pool as part of a study of attitudes about society. The experimental procedure was approved by the institutional review board at Yale University, and all respondents consented to participate in the study. This subject pool was used to obtain a sample of the surrounding community of New Haven, CT, United States, with the specific goal of overrepresenting community members from racial backgrounds that are historically underrepresented in the social sciences (62). An email with a link to an initial invitation to participate in the experiment was sent out to the list of community respondents maintained by the laboratory. All respondents were over the age of 18. No exclusions were made, except in cases of missing data.
Randomization procedure: 
At the laboratory, respondents were randomly exposed to one of the three video interventions: the narrative, data, or combined conditions.
Treatment: 
In the present research, we tested the effectiveness of three interventions that used narrative- or data-based messages about the Black–White wealth gap. In the narrative condition, we highlight Black–White racial inequality in wealth, access to healthcare, housing, and prospects for economic mobility through the experiences of one family. In the data condition, respondents were informed about racial inequality with data, rather than a narrative, focusing on the structural nature of the Black–White wealth gap as well as gaps in education funding, housing, health care, and economic mobility. The third condition presented the information in both the narrative and data conditions. This combined condition then provided both data on Black–White gaps in wealth and in other domains but also provided the personal narrative of the single Black family.
Treatment administration: 
Multiple
Outcome measures: 
Perceptions of the Black–White wealth gap
Archive date: 
2022
Owner contact: 

isps(at)yale(dot)edu

Terms of use: 

ISPS Data Archive: Terms of Use.

Discipline: 
Data file numbersort descending Description File format Size File url
D183F01 Data .csv 71844 Download file
D183F02 Program .R 16788 Download file
D183F03 Codebook .pdf 68477 Download file
D183F04 Curator README .txt 1036 Download file
D183F05 Metadata (DDI 3.2) .xml 512664 Download file