Tuyet-Mai H Hoang, Ashley Maxie-Moreman, Lillian Polanco-Roman, Henry A Willis, Brendesha M Tynes
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The present study examined the validity, internal consistency, and measurement invariance of the modified individual and vicarious Online Racial Discrimination (ORD) subscales from the Online Victimization Scale (OVS; Tynes et al., 2010).</p><p><strong>Method: </strong>Using a nationally representative sample of Black and Latinx adolescents (<i>N</i> = 696), this study employed an exploratory structural equation modeling (ESEM) to (a) confirm the factor structure with the updated individual and vicarious ORD subscales, (b) test the measurement invariance across racial-ethnic and gender groups, and (c) investigate the construct validity.</p><p><strong>Results: </strong>Findings revealed that the two-factor model provided good fit of the data and good conceptual clarity consistent with our original framework. Additionally, the individual and vicarious ORD subscales met the criteria for scalar measurement invariance across racial-ethnic groups. These subscales also met criteria for metric invariance across gender groups, and this finding cautions users from comparing (adjusted-)means of intercepts across gender groups given that scalar measurement invariance was not supported.</p><p><strong>Conclusion: </strong>The ORD scale is a reliable and valid measure for assessing experiences of online racial discrimination in Black and Latinx adolescents. These findings provide further support for the ORD scale's psychometric properties to help advance this line of research. 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引用次数: 0
摘要
目标：需要可靠有效的工具来评估有色人种青少年所遭受的网络种族歧视。本研究考察了网络受害者量表（OVS；Tynes 等人，2010 年）中修改后的个人和替代性网络种族歧视（ORD）分量表的有效性、内部一致性和测量不变性：本研究使用具有全国代表性的黑人和拉美裔青少年样本（N = 696），采用探索性结构方程建模（ESEM），以（a）确认更新后的个人和替代性网络种族歧视子量表的因子结构，（b）测试不同种族和性别群体之间的测量不变性，以及（c）研究其构建有效性：研究结果表明，双因素模型与数据拟合良好，概念清晰，与我们最初的框架一致。此外，个人分量表和替代性 ORD 分量表符合跨种族群体的标度测量不变性标准。这些分量表也符合跨性别组的度量不变性标准，鉴于标度测量不变性不被支持，这一发现提醒用户不要比较跨性别组截距的（调整后）平均值：ORD量表是评估黑人和拉美裔青少年网络种族歧视经历的可靠有效的量表。这些发现为ORD量表的心理测量特性提供了进一步支持，有助于推进这一研究方向。(PsycInfo Database Record (c) 2024 APA, all rights reserved)。
Online racial discrimination scale: A study of measurement invariance across racial-ethnic and gender groups.
Objectives: Reliable and valid tools assessing online racism exposures in youth of color are needed. The present study examined the validity, internal consistency, and measurement invariance of the modified individual and vicarious Online Racial Discrimination (ORD) subscales from the Online Victimization Scale (OVS; Tynes et al., 2010).
Method: Using a nationally representative sample of Black and Latinx adolescents (N = 696), this study employed an exploratory structural equation modeling (ESEM) to (a) confirm the factor structure with the updated individual and vicarious ORD subscales, (b) test the measurement invariance across racial-ethnic and gender groups, and (c) investigate the construct validity.
Results: Findings revealed that the two-factor model provided good fit of the data and good conceptual clarity consistent with our original framework. Additionally, the individual and vicarious ORD subscales met the criteria for scalar measurement invariance across racial-ethnic groups. These subscales also met criteria for metric invariance across gender groups, and this finding cautions users from comparing (adjusted-)means of intercepts across gender groups given that scalar measurement invariance was not supported.
Conclusion: The ORD scale is a reliable and valid measure for assessing experiences of online racial discrimination in Black and Latinx adolescents. These findings provide further support for the ORD scale's psychometric properties to help advance this line of research. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
期刊介绍：
Cultural Diversity & Ethnic Minority Psychology seeks to publish theoretical, conceptual, research, and case study articles that promote the development of knowledge and understanding, application of psychological principles, and scholarly analysis of social–political forces affecting racial and ethnic minorities.
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