Department of Public Health, Federal University of Santa Catarina.
Department of Epidemiology, Rio de Janeiro State University.
Cultur Divers Ethnic Minor Psychol. 2019 Jul;25(3):413-423. doi: 10.1037/cdp0000246. Epub 2018 Nov 29.
To reassess the Explicit Discrimination Scale (EDS; Bastos, Faerstein, Celeste, & Barros, 2012), an instrument developed in Brazil to examine intersecting forms of discrimination, with particular attention to the number of underlying dimensions, residual correlations, share of explained item variance, and stability of the configural and metric structure in broader populations.
Data from two cross-sectional studies and one cohort investigation were used. Although the cross-sectional studies were conducted among racially diverse undergraduate students (n = 1,022, 45% women, mean age = 23 years; n = 424, 59% women, mean age = 22 years), the cohort study included a probabilistic sample of community residents with 18% racial/ethnic minority respondents (n = 1,187, 57% women, mean age = 42 years). A series of exploratory models, exploratory structural equation models, and confirmatory factor analyses models was estimated.
The EDS items might be best represented by a 3-factor model, which includes a second-order factor. Although only 1 pair of correlated residuals emerged, at least 4 different items with a sizable share of error variance were observed. The revised scale structure had an excellent fit to the data and was consistent among both undergraduate students and community residents.
As well as demonstrating that discrimination may be structured by proximal, medial, and distal experiences with mistreatment, we suggest that the EDS has the potential to enhance research on the intersectional health impacts of discrimination. Future studies are required to assess scalability and provide scholars with a shortened version of the instrument. (PsycINFO Database Record (c) 2019 APA, all rights reserved).
重新评估巴西开发的交叉歧视量表(EDS;Bastos、Faerstein、Celeste 和 Barros,2012 年),该量表用于检验交叉形式的歧视,特别关注潜在维度的数量、残差相关性、解释项目方差的比例以及在更广泛人群中配置和度量结构的稳定性。
使用了两项横断面研究和一项队列研究的数据。虽然横断面研究是在种族多样化的本科生中进行的(n=1022,45%为女性,平均年龄为 23 岁;n=424,59%为女性,平均年龄为 22 岁),但队列研究包括了一个社区居民的概率样本,其中有 18%的少数族裔受访者(n=1187,57%为女性,平均年龄为 42 岁)。估计了一系列探索性模型、探索性结构方程模型和验证性因素分析模型。
EDS 项目最好用 3 因素模型来表示,其中包括一个二阶因素。虽然只出现了 1 对相关残差,但至少有 4 个不同的项目具有相当大的误差方差。修订后的量表结构与数据拟合良好,在本科生和社区居民中均一致。
除了表明歧视可能由近端、中距和远端的虐待经历构成外,我们还建议 EDS 有可能增强对歧视的交叉健康影响的研究。未来的研究需要评估可扩展性,并为学者提供该工具的简化版本。(PsycINFO 数据库记录(c)2019 APA,保留所有权利)。