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Published in: BMC Public Health 1/2021

Open Access 01-12-2021 | Research article

Understanding measures of racial discrimination and microaggressions among American Indian and Alaska Native college students in the Southwest United States

Authors: Brenna L. Greenfield, Jessica H. L. Elm, Kevin A. Hallgren

Published in: BMC Public Health | Issue 1/2021

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Abstract

Background

Racial discrimination, including microaggressions, contributes to health inequities, yet research on discrimination and microaggressions has focused on single measures without adequate psychometric evaluation. To address this gap, we examined the psychometric performance of three discrimination/microaggression measures among American Indian and Alaska Native (AI/AN) college students in a large Southwestern city.

Methods

Students (N = 347; 65% female; ages 18–65) completed the revised-Everyday Discrimination Scale, Microaggressions Distress Scale, and Experiences of Discrimination measure. The psychometric performance of these measures was evaluated using item response theory and confirmatory factor analyses. Associations of these measures with age, gender, household income, substance use, and self-rated physical health were examined.

Results

Discrimination and microaggression items varied from infrequently to almost universally endorsed and each measure was unidimensional and moderately correlated with the other two measures. Most items contributed information about the overall severity of discrimination and collectively provided information across a continuum from everyday microaggressions to physical assault. Greater exposure to discrimination on each measure had small but significant associations with more substance use, lower income, and poorer self-rated physical health. The Experiences of Discrimination measure included more severe forms of discrimination, while the revised-Everyday Discrimination Scale and the Microaggressions Distress Scale represented a wider range of severity.

Conclusions

In clinical practice, these measures can index varying levels of discrimination for AI/ANs, particularly for those in higher educational settings. This study also informs the measurement of racial discrimination and microaggressions more broadly.
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Footnotes
1
Moreover, only 6.7% of items were answered as “not sure but think so”, compared to 30.2% of items answered “yes” and 63.2% of items answered “no”. Although a graded response IRT could be conducted to accommodate all three response options, the resulting parameters would indicate the probabilities of moving from “no” to “not sure but think so” and from “not sure but think so” to “yes”, which we determined was less substantively meaningful than the probabilities of moving from “no” to “yes” and/or “not sure but think so” that would be obtained by combining the latter two responses into a single response.
 
2
Although experiences of discrimination and microaggressions are not traits of individuals, our utilization of the latent trait model conceptualizes the constructs we measure as latent variables (e.g., overall experiences with discrimination or microaggressions) that are imperfectly measured by a finite set of indicators (i.e., items included in each measure).
 
3
For this analysis, the ordinal r-Everyday Discrimination Scale responses were converted to binary responses (so all responses would be in a binary scale) by classifying “never” as 0 and all responses greater than “never” as 1.
 
4
Note that even though these specific microaggressions provided less information for differentiating the severity of overall microaggression experiences a person had, our analyses should not be interpreted as indicating that the consequences of these specific microaggressions are less impactful than other microaggressions.
 
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Metadata
Title
Understanding measures of racial discrimination and microaggressions among American Indian and Alaska Native college students in the Southwest United States
Authors
Brenna L. Greenfield
Jessica H. L. Elm
Kevin A. Hallgren
Publication date
01-12-2021
Publisher
BioMed Central
Published in
BMC Public Health / Issue 1/2021
Electronic ISSN: 1471-2458
DOI
https://doi.org/10.1186/s12889-021-11036-9

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