Differential item functioning of the Beck Anxiety Inventory in a rural, multi-ethnic cohort.

Differential item functioning of the Beck Anxiety Inventory in a rural, multi-ethnic cohort.
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DOI:
10.1016/j.jad.2021.06.005
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发表时间:
2021-10-01
影响因子:
6.6
通讯作者:
Medina LD
Medina LD
中科院分区:
医学2区
文献类型:
--
作者:
Garcia JM;Gallagher MW;O'Bryant SE;Medina LD

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评估测量偏差对于确保不同群体之间的同等评估至关重要。评估测试偏差的一种方法是差异项目功能 (DIF),通过比较具有相同总分的组之间的项目级响应来评估特定组之间的项目级偏差。之前对贝克焦虑量表 (BAI) 的 DIF 研究仅评估了单语样本中年龄、性别和疾病持续时间的偏差。我们通过对年龄、性别、教育、种族、认知状态和测试语言的 BAI 进行 DIF 分析来扩展该文献。对来自美国德克萨斯州西部农村社区的样本(n = 527,平均年龄 = 61.4±12.7,平均教育程度 = 10.9±4.3,69.3% 女性,41.9% 西班牙/拉丁美洲人)的 BAI 数据进行了分析。项目反应理论 (IRT)/逻辑序数回归 DIF 是针对二分人口分组因素进行的。在调整 DIF 的影响之前和之后计算了 Mann-Whitney U 检验和 Hedge 的 g 标准化均值差。 10/21 项目中显示了显着的 DIF。当单独评估人口统计数据时,并未发现 DIF 的不利影响。当所有人口统计数据汇总时,仅一名参与者(1/527,0.2%)发现了不良 DIF。这些结果可能无法推广到具有更广泛种族代表性、更严重认知障碍和更高焦虑水平的样本。在考虑的人口统计因素中确定了最小的项目级偏差。这些结果支持了先前的证据,BAI 对于评估跨年龄和性别的焦虑是有效的,同时提供了其在教育、种族、认知状态和英语/西班牙语测试语言方面的临床相关性的新证据。
Evaluating measurement bias is vital to ensure equivalent assessment across diverse groups. One approach for evaluating test bias, differential item functioning (DIF), assesses item-level bias across specified groups by comparing item-level responses between groups that have the same overall score. Previous DIF studies of the Beck Anxiety Inventory (BAI) have only assessed bias across age, sex, and disease duration in monolingual samples. We expand this literature through DIF analysis of the BAI across age, sex, education, ethnicity, cognitive status, and test language. BAI data from a sample (n = 527, mean age=61.4±12.7, mean education=10.9±4.3, 69.3% female, 41.9% Hispanic/Latin American) from rural communities in West Texas, USA were analyzed. Item response theory (IRT) / logistic ordinal regression DIF was conducted across dichotomized demographic grouping factors. The Mann-Whitney U test and Hedge’s g standardized mean differences were calculated before and after adjusting for the impact of DIF. Significant DIF was demonstrated in 10/21 items. An adverse impact of DIF was not identified when demographics were assessed individually. Adverse DIF was identified for only one participant (1/527, 0.2%) when all demographics were aggregated. These results might not be generalizable to a sample with broader racial representation, more severe cognitive impairment, and higher levels of anxiety. Minimal item-level bias was identified across demographic factors considered. These results support prior evidence the BAI is valid for assessing anxiety across age and sex while contributing new evidence of its clinical relevance across education, ethnicity, cognitive status, and English/Spanish test language.
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