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J Adolesc ; 95(8): 1764-1773, 2023 12.
Artículo en Inglés | MEDLINE | ID: mdl-37661346

RESUMEN

INTRODUCTION: Increasing racial/ethnic diversity in the United States calls for methodological approaches that capture participants who identify with multiple racial/ethnic groups. Existing approaches are oriented toward large samples (N > 500); yet, we do not know how effective these approaches are with more common smaller convenience samples. We explored how several approaches were associated with the sample distribution of racial/ethnic groups and ethnic identity using a small convenience sample. METHODS: In 2017, 320 U.S. adolescents (Mage = 16.04 years, SDage = 1.33; 59% female) responded to an open-ended question regarding their racial/ethnic group(s) in a cross-sectional survey. Seventy-five (23%) adolescents identified with multiple racial/ethnic groups. Remaining adolescents identified solely with the Asian/Hawaiian Native/Pacific Islander (19%), Black/African American (3%), European American (21%), Latinx (34%), or Native American/Alaska Native (<1%) group. RESULTS: Three approaches for adolescents with multiple racial/ethnic groups were employed. Findings indicated that the sample distributions differed across the approaches. The greatest differences were shown for Black/African American, Native American/Alaska Native, and Other Race/Ethnicity groups. Descriptively, ethnic identity also differed across the approaches. For example, multiracial/ethnic adolescents reported greater ethnic identity-exploration than their European American counterparts in one approach than in others. CONCLUSIONS: Researchers should carefully consider approaches to research with adolescents who identify with multiple racial/ethnic groups given implications for the literature. This study demonstrates the critical need to further develop approaches for capturing the complexity of race/ethnicity.


Asunto(s)
Etnicidad , Grupos Raciales , Autoimagen , Adolescente , Femenino , Humanos , Masculino , Estudios Transversales , Estados Unidos
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