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Examination of the psychometric properties of the Ethnic Identity Scale (EIS) and Multicultural Identity Integration Scale (MULTIIS) in a multiracial population in the United States.
Journal of Counseling Psychology ( IF 3.8 ) Pub Date : 2024-09-09 , DOI: 10.1037/cou0000746 Jaimie Shaff 1 , Annabelle L Atkin 2 , Geoffrey Kahn 3 , Holly C Wilcox 1
Journal of Counseling Psychology ( IF 3.8 ) Pub Date : 2024-09-09 , DOI: 10.1037/cou0000746 Jaimie Shaff 1 , Annabelle L Atkin 2 , Geoffrey Kahn 3 , Holly C Wilcox 1
Affiliation
Ethnic identity is theorized to be a critical aspect of human development and is shown to be associated with health and well-being. The Ethnic Identity Scale is a widely used measure that assesses key aspects of ethnic identity development (Umaña-Taylor et al., 2004). The Multicultural Identity Integration Scale (MULTIIS) is a measure that has been more recently developed to assess key aspects of identity integration for individuals with multicultural identities (Yampolsky et al., 2016). Despite the ongoing utilization of these instruments, a comprehensive psychometric evaluation within Multiracial populations has yet to be established in extant literature. Addressing this gap, the present study aims to examine the internal consistency, factor structure, and other psychometric characteristics of the Ethnic Identity Scale and MULTIIS within a sample of 1,012 Multiracial adults in the United States. The majority of the sample identified as female (67.5%, n = 683), straight (80.1%, n = 798), having attained less than a college degree (62.3%, n = 627), and having a household income less than $60,000 (57.4%, n = 552). The majority of participants (55%, n = 557) were classified as having White and non-White racial/ethnic backgrounds, 45.0% (n = 455) as non-White. Findings suggest the Ethnic Identity Scale fits the data poorly by all measures, despite supporting the three-factor structure recommended in the original study; the MULTIIS fits the data acceptably by all measures and supports both a three-factor first-order and eight-factor second-order structure recommended in the original study. Analyses of the MULTIIS three-factor first-order model's measurement invariance across race, gender, educational attainment, and household income identified variance for specific latent factors. Overall, the MULTIIS performed acceptably; however, studies relying on the MULTIIS should account for differential measurement. Implications for clinical, scientific, and public health practice are discussed. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
中文翻译:
检查美国多种族人群中种族身份量表 (EIS) 和多元文化身份整合量表 (MULTIIS) 的心理测量特性。
种族认同理论上是人类发展的一个关键方面,并被证明与健康和福祉有关。种族认同量表是一种广泛使用的衡量标准,用于评估种族认同发展的关键方面(Umaña-Taylor et al., 2004)。多元文化身份整合量表 (MULTIIS) 是最近开发的一种衡量标准,用于评估具有多元文化身份的个人身份整合的关键方面(Yampolsky 等人,2016 年)。尽管这些工具一直在使用,但在现存文献中尚未建立对多种族人群的全面心理测量评估。为了解决这一差距,本研究旨在检查美国 1,012 名多种族成年人样本中种族身份量表和 MULTIIS 的内部一致性、因子结构和其他心理测量特征。大多数样本被确定为女性 (67.5%, n = 683)、异性恋 (80.1%, n = 798)、大学学位以下 (62.3%, n = 627) 和家庭收入低于 60,000 美元 (57.4%, n = 552)。大多数参与者 (55%,n = 557) 被归类为具有白人和非白人种族/民族背景,45.0% (n = 455) 被归类为非白人。研究结果表明,尽管支持原始研究中推荐的三因素结构,但种族身份量表在所有指标上都与数据拟合不佳;MULTIIS 在所有度量中都可接受地拟合数据,并支持原始研究中推荐的三因素一阶和八因素二阶结构。 对 MULTIIS 三因素一阶模型的种族、性别、教育程度和家庭收入的测量不变性的分析确定了特定潜在因素的方差。总体而言,MULTIIS 的表现尚可;然而,依赖 MULTIIS 的研究应考虑差异测量。讨论了对临床、科学和公共卫生实践的影响。(PsycInfo 数据库记录 (c) 2024 APA,保留所有权利)。
更新日期:2024-09-09
中文翻译:
检查美国多种族人群中种族身份量表 (EIS) 和多元文化身份整合量表 (MULTIIS) 的心理测量特性。
种族认同理论上是人类发展的一个关键方面,并被证明与健康和福祉有关。种族认同量表是一种广泛使用的衡量标准,用于评估种族认同发展的关键方面(Umaña-Taylor et al., 2004)。多元文化身份整合量表 (MULTIIS) 是最近开发的一种衡量标准,用于评估具有多元文化身份的个人身份整合的关键方面(Yampolsky 等人,2016 年)。尽管这些工具一直在使用,但在现存文献中尚未建立对多种族人群的全面心理测量评估。为了解决这一差距,本研究旨在检查美国 1,012 名多种族成年人样本中种族身份量表和 MULTIIS 的内部一致性、因子结构和其他心理测量特征。大多数样本被确定为女性 (67.5%, n = 683)、异性恋 (80.1%, n = 798)、大学学位以下 (62.3%, n = 627) 和家庭收入低于 60,000 美元 (57.4%, n = 552)。大多数参与者 (55%,n = 557) 被归类为具有白人和非白人种族/民族背景,45.0% (n = 455) 被归类为非白人。研究结果表明,尽管支持原始研究中推荐的三因素结构,但种族身份量表在所有指标上都与数据拟合不佳;MULTIIS 在所有度量中都可接受地拟合数据,并支持原始研究中推荐的三因素一阶和八因素二阶结构。 对 MULTIIS 三因素一阶模型的种族、性别、教育程度和家庭收入的测量不变性的分析确定了特定潜在因素的方差。总体而言,MULTIIS 的表现尚可;然而,依赖 MULTIIS 的研究应考虑差异测量。讨论了对临床、科学和公共卫生实践的影响。(PsycInfo 数据库记录 (c) 2024 APA,保留所有权利)。