Related Experiment Video
Updated: Jan 5, 2026

Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues
Published on: June 3, 2013
Methodology of the Discrimination in the United States survey
John M Benson1, Eran N Ben-Porath2, Logan S Casey1
1Department of Health Policy and Management, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Objective:
To describe survey methods used to examine reported experiences of discrimination against African Americans, Latinos, Asian Americans, Native Americans, women, and LGBTQ (lesbian, gay, bisexual, transgender, and queer) adults.
Data Source And Study Design:
Data came from a nationally representative, probability-based telephone survey of 3453 US adults, conducted January-April 2017.
Methods:
We examined the survey instrument, sampling design, and weighting of the survey, and present selected survey findings.
Principal Findings:
Examining reported discrimination experienced by multiple groups in a telephone survey requires attention to details of sampling and weighting. In health care settings, 32 percent of African Americans reported discrimination, as did 23 percent of Native Americans, 20 percent of Latinos, 18 percent of women, 16 percent of LGBTQ adults, and 13 percent of Asian Americans. Also, 51 percent of LGBTQ adults, 42 percent of African Americans, and 38 percent of Native Americans reported identity-based violence against themselves or family members; 57 percent of African Americans and 41 percent of women reported discrimination in pay or promotions; 50 percent of African Americans, 29 percent of Native Americans, and 27 percent of Latinos reported being discriminated against in interactions with police.
Conclusions:
Even the small selection of results presented in this article as examples of survey measures show a pattern of substantial reported discrimination against all six groups studied.
Related Concept Videos
Surveys
Stereotypes, Prejudice, and Discrimination
Stratified Sampling Method
To choose a stratified sample, divide the population into groups called strata and then take a...
Systematic Sampling Method
Systematic sampling is one of the simplest methods...
Convenience Sampling Method
Convenience sampling is a non-random method of sample selection; this method selects individuals that are easily accessible and may result in biased data. For example, a marketing...
Cluster Sampling Method
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...

