DOI: 10.3886/icpsr38387.v1
title: Harvard T.H. Chan School of Public Health/National Public Radio/Robert Wood Johnson Foundation: Discrimination in the United States Survey, 2017
title: Version 1

description: This catalog record includes detailed variable-level descriptions, enabling data discovery and comparison. The data are not archived at ICPSR. Users should consult the data owners (via the Roper Center for Public Opinion Research) directly for details on obtaining the data.
This collection includes variable-level metadata of the 2017 Discrimination in the United States Survey, a survey from Harvard T.H. Chan School of Public Health/Robert Wood Johnson Foundation/National Public Radio conducted by Social Science Research Solutions (SSRS). Topics covered in this survey include:Belief in discrimination against racial/ethnic minoritiesDiscrimination against men/womenDiscrimination against lesbian/gay/bisexual peopleDiscrimination against transgender peopleBiggest problem with discrimination against lesbian/gay/bisexual/transgender/queer (LGBTQ) peopleLive on tribal landsLocal/tribal government Discrimination based on raceDiscrimination based on genderDiscrimination based on being part of the LGBTQ communityReasons for avoiding seeking health careExperiences with discriminationDiscrimination resulting in fewer employment opportunitiesDiscrimination resulting in unequal payDiscrimination resulting in fewer chances for quality educationEncouraged to/discouraged from applying to collegePredominant groups living in respondent's areaNot feeling/being welcomed in neighborhood due to raceNot feeling/being welcomed in neighborhood due to being part of LGBTQ communityConsidered moving to another area because of discriminationComparing respondent's area to othersPolice using unnecessary force based on race/ethnicityAvoiding activities to avoid discrimination from policeExperiences caused by racial discriminationExperiences caused by gender discriminationExperiences caused by discrimination against LGBTQ communityLocal police force does/does not reflect racial/ethnic background of communityContacted by political representatives about voting/supporting causeRegistered to voteVote in 2016 presidential electionPhysical health statusMental health statusDisabilityChronic illnessVeterans AdministrationIndian Health ServicesSeeking health careInsurance coverageThe data and documentation files for this survey are available through the Roper Center for Public Opinion Research [Roper #31114655]. Frequencies and summary statistics for the 235 variables from this survey are available through the ICPSR social science variable database and can be accessed from the Variables tab.
description: The study intended to document the self-reported prevalence of discrimination against African Americans, Latinos, Asian Americans, Native Americans, women, and LGBTQ (lesbian, gay, bisexual, transgender, and queer) adults across multiple institutional and interpersonal domains, including health services (health care) and social services (education, employment, housing, political participation, police, and the criminal justice system), as well as interpersonal domains that affect health outcomes, including slurs, microaggressions, harassment (sexual and nonsexual), and violence.
description: The study utilized an overlapping landline/cell phone sample frames RDD design. The sample plan consisted of three basic components: 1) stratified main sample RDD, where every adult qualifies and the general adult population respondents are reached by random-digit dialing (RDD) of cell phones or landlines; 2) stratified RDD oversample, where respondents are reached by RDD cell phone or landline, and interviewed only if they were members of one of the racial or ethnic groups at the focus of the study, or if they were members of the LGBTQ community; and 3) prescreened omnibus sample, meaning callbacks to telephone numbers where respondents who were previously interviewed on the SSRS weekly omnibus poll indicated they were members of one of these racial or ethnic groups or fell under various definitions of LGBTQ.The questionnaire was translated into Spanish (n=255) and Chinese (n=33).
description: Usage Notes: There are multiple variables for gender in the dataset. The variable to use in analysis is SR_IR_REPORTED_GENDER. This variable is a composite of two measures. One is self-reported gender. The other is interviewer-reported gender, which is ONLY used to identify gender when the respondent does not self-report one. The LGBTQ questions are very complex, and it is best not to use them individually. When looking at LGBQ, use the variable LGBQVAR. When looking at transgender, use the variable CISTRANSVAR. However, if you are concerned specifically with LGBTQ responses, please be aware that the wording of the screening questions was changed a couple of weeks into the field period to try to improve the measures. Both versions are in the full final questionnaire (not in the summary version), with the dates they were asked. The two versions were coded into the summary variables listed above, so no important responses were lost. For racial and ethnic groups, use RACEVAR. For weighting, use the variable WEIGHT, not BASEWEIGHT.
description: The study dataset contains weight factors that should be employed in any data analysis. Typically weights are used in an attempt to assure that the survey sample more accurately represents the population. For weighting in this study, use the variable WEIGHT, not BASEWEIGHT.The survey data were weighted to provide nationally representative
and projectable estimates of the adult population 18 years of age and older both overall and for each of the racial/ethnic groups and LGBTQ adults. Each race-defined group was weighted using the following steps: 1) probability of selection (total), 2) correction for oversampling of racial/ethnic groups and strata, 3) recontact propensity correction, 4) LGBTQ adjustment. Then, with the base-weight applied: 5) the sample underwent the process of Iterative Proportional Fitting (IPF) for poststratification weighting ("raking"), 6) weight truncation ("trimming"), and 7) adjustment for race oversampling.
description: Response Rates: The overall response rate for this study was 10%.
description: The sample includes 3,453 national adults, including oversamples of 802 African Americans, 803 Latinos, 500 Asian Americans, 342 Native Americans (defined as the Census category "American Indian or Alaska Native," or AI/AN), and 489 LGBTQ adults.
description: Datasets: 
DS1: Harvard T.H. Chan School of Public Health/National Public Radio/Robert Wood Johnson Foundation: Discrimination in the United States Survey, 2017
description: National adult, including oversamples of 802 African Americans, 803 Latinos, 500 Asian Americans, 342 Native Americans (defined as the Census category "American Indian or Alaska Native," or AI/AN), and 489 LGBTQ adults. Smallest Geographic Unit: ZIP Code
description: computer-assisted telephone interview (CATI); telephone interviewPlease visit the Roper Center for Public Opinion Research website for more information on the 2017 Discrimination in the United States Survey.