University of Maryland School of Public Health, College Park, MD, USA.
Assessment. 2021 Mar;28(2):668-681. doi: 10.1177/1073191120973388. Epub 2020 Dec 22.
Hate crimes against Muslim Americans have increased exponentially in the past 20 years, but there is currently no scale for measuring perceived anti-Muslim discrimination in the United States. To fill this gap, this study used a mixed-method approach to develop scales for measuring perceived anti-Muslim discrimination.
Qualitative data informed the development and validation of the 19-item Societal Anti-Muslim Discrimination Index and the 9-item Interpersonal Anti-Muslim Discrimination Index. Quantitative data ( = 347) were collected from Muslim Americans using an online survey and used to assess the anti-Muslim indexes.
Qualitative data contributed to the refinement scale items. Quantitative results indicated one-component models and modest to high reliability of the Interpersonal Anti-Muslim Discrimination Index (.77) and Societal Anti-Muslim Discrimination Index (.88) scales.
Study results established the validity of these novel scales for measuring the distinct facets of anti-Muslim discrimination not captured by the Everyday Discrimination Index. These scales will facilitate research on anti-Muslim discrimination and the health implications of this form of religious-based discrimination.
在过去的 20 年里,针对美国穆斯林的仇恨犯罪呈指数级增长,但目前美国还没有衡量感知到的反穆斯林歧视的标准。为了填补这一空白,本研究采用混合方法开发了衡量感知到的反穆斯林歧视的量表。
定性数据为 19 项社会反穆斯林歧视指数和 9 项人际反穆斯林歧视指数的制定和验证提供了信息。从穆斯林美国人那里收集了定量数据(n=347),并使用在线调查进行了评估。
定性数据有助于完善量表项目。定量结果表明,人际反穆斯林歧视指数(.77)和社会反穆斯林歧视指数(.88)的单因素模型具有适度到高度的可靠性。
研究结果证实了这些新量表衡量日常歧视指数未捕捉到的不同反穆斯林歧视方面的有效性。这些量表将有助于研究反穆斯林歧视以及这种基于宗教的歧视对健康的影响。