Jonathan A Pedroza, James J Guardado-García, Monique J Williams, Matthew S Alcala, Nadine N Nakamura, Dylan G Serpas, Asya Harrison, Dion Chon
{"title":"Measurement Invariance of the LGBT Microaggressions Scale Among Latino/a/x Persons and non-Latino/a/x People of Color.","authors":"Jonathan A Pedroza, James J Guardado-García, Monique J Williams, Matthew S Alcala, Nadine N Nakamura, Dylan G Serpas, Asya Harrison, Dion Chon","doi":"10.1177/23258292261456304","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>Given limited measurement of intersectional microaggressions among those who identify as lesbian, gay, bisexual, transgender, queer, or additional sexual or gender minority (LGBTQ+) identities and as people of color (POC), this study tested whether differences exist in the factor structure of the LGBT People of Color Microaggression Scale (LGBT-PCMS) between Latina/o/x and non-Latina/o/x POC groups.</p><p><strong>Methods: </strong>Using Amazon's Mechanical Turk, a sample of 491 LGBTQ+ Latina/o/x people and non-Latina/o/x POC (mean age = 29.66 ± 7.60) completed an online survey in December 2018, assessing psychosocial variables, intersectional minority stress measured via the LGBT-PCMS, and perceived stress. Hierarchical confirmatory factor analyses (CFA) assessed the fit of the LGBT-PCMS, with its three subscales specified as first-order latent factors and intersectional minority stress as a second-order latent factor. Invariance testing compared a second-order factor structure of the LGBT-PCMS between LGBTQ+ Latina/o/x people (<i>n</i> = 244) and LGBTQ+ non-Latina/o/x POC (<i>n</i> = 247) groups. Structural equation modeling was used to examine convergent validity with the perceived stress subscales.</p><p><strong>Results: </strong>Findings from the second-order CFA showed that the LGBT-PCMS demonstrated acceptable fit across the full sample, LGBTQ+ Latina/o/x people, and LGBTQ+ non-Latina/o/x POC. Full invariance was demonstrated between LGBTQ+ Latina/o/x people and LGBTQ+ non-Latina/o/x POC groups. No link between the LGBT-PCMS and perceived stress subscales emerged.</p><p><strong>Conclusion: </strong>The LGBT-PCMS was indistinguishable between LGBTQ+ Latina/o/x people and LGBTQ+ non-Latina/o/x POC, supporting that the LGBT-PCMS can be used as a single measure of intersectional minority stress or separate subscales.</p>","PeriodicalId":18062,"journal":{"name":"LGBT health","volume":" ","pages":"323-332"},"PeriodicalIF":3.1000,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"LGBT health","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1177/23258292261456304","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/6/15 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
引用次数: 0
Abstract
Purpose: Given limited measurement of intersectional microaggressions among those who identify as lesbian, gay, bisexual, transgender, queer, or additional sexual or gender minority (LGBTQ+) identities and as people of color (POC), this study tested whether differences exist in the factor structure of the LGBT People of Color Microaggression Scale (LGBT-PCMS) between Latina/o/x and non-Latina/o/x POC groups.
Methods: Using Amazon's Mechanical Turk, a sample of 491 LGBTQ+ Latina/o/x people and non-Latina/o/x POC (mean age = 29.66 ± 7.60) completed an online survey in December 2018, assessing psychosocial variables, intersectional minority stress measured via the LGBT-PCMS, and perceived stress. Hierarchical confirmatory factor analyses (CFA) assessed the fit of the LGBT-PCMS, with its three subscales specified as first-order latent factors and intersectional minority stress as a second-order latent factor. Invariance testing compared a second-order factor structure of the LGBT-PCMS between LGBTQ+ Latina/o/x people (n = 244) and LGBTQ+ non-Latina/o/x POC (n = 247) groups. Structural equation modeling was used to examine convergent validity with the perceived stress subscales.
Results: Findings from the second-order CFA showed that the LGBT-PCMS demonstrated acceptable fit across the full sample, LGBTQ+ Latina/o/x people, and LGBTQ+ non-Latina/o/x POC. Full invariance was demonstrated between LGBTQ+ Latina/o/x people and LGBTQ+ non-Latina/o/x POC groups. No link between the LGBT-PCMS and perceived stress subscales emerged.
Conclusion: The LGBT-PCMS was indistinguishable between LGBTQ+ Latina/o/x people and LGBTQ+ non-Latina/o/x POC, supporting that the LGBT-PCMS can be used as a single measure of intersectional minority stress or separate subscales.
LGBT healthPUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH -
CiteScore
6.60
自引率
6.20%
发文量
80
期刊介绍:
LGBT Health is the premier peer-reviewed journal dedicated to promoting optimal healthcare for millions of sexual and gender minority persons worldwide by focusing specifically on health while maintaining sufficient breadth to encompass the full range of relevant biopsychosocial and health policy issues. This Journal aims to promote greater awareness of the health concerns particular to each sexual minority population, and to improve availability and delivery of culturally appropriate healthcare services. LGBT Health also encourages further research and increased funding in this critical but currently underserved domain. The Journal provides a much-needed authoritative source and international forum in all areas pertinent to LGBT health and healthcare services. Contributions from all continents are solicited including Asia and Africa which are currently underrepresented in sex research.