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Sources of Response Bias in Older Ethnic Minorities: A Case of Korean American Elderly

机译:老年人中回应偏见的来源:以韩裔美国老人为例

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摘要

The present study was undertaken to investigate potential sources of response bias in empirical research involving older ethnic minorities and to identify prudent strategies to reduce those biases, using Korean American elderly (KAE) as an example. Data were obtained from three independent studies of KAE (N=1,297; age ≥60) in three states (Florida, New York, and Maryland) from 2000 to 2008. Two common measures, Pearlin’s Mastery Scale and the CES-D scale, were selected for a series of psychometric tests based on classical measurement theory. Survey items were analyzed in depth, using psychometric properties generated from both exploratory factor analysis and confirmatory factor analysis as well as correlational analysis. Two types of potential sources of bias were identified as the most significant contributors to increases in error variances for these psychological instruments. Error variances were most prominent when (1) items were not presented in a manner that was culturally or contextually congruent with respect to the target population and/or (2) the response anchors for items were mixed (e.g., positive vs. negative). The systemic patterns and magnitudes of the biases were also cross-validated for the three studies. The results demonstrate sources and impacts of measurement biases in studies of older ethnic minorities. The identified response biases highlight the need for re-evaluation of current measurement practices, which are based on traditional recommendations that response anchors should be mixed or that the original wording of instruments should be rigidly followed. Specifically, systematic guidelines for accommodating cultural and contextual backgrounds into instrument design are warranted.
机译:进行本研究以调查涉及老年少数民族的实证研究中潜在的反应偏倚源,并以韩裔美国人老年人(KAE)为例确定减少这些偏倚的审慎策略。数据是从2000年至2008年在三个州(佛罗里达州,纽约州和马里兰州)进行的KAE的三项独立研究(N = 1,297;年龄≥60)获得的。两项常见的量度为Pearlin的掌握度量表和CES-D量表。选择基于经典测量理论的一系列心理测验。使用从探索性因素分析和确认性因素分析以及相关性分析生成的心理测量属性,对调查项目进行了深入分析。两种潜在的偏见源被确定为这些心理工具的误差方差增加的最主要因素。当(1)没有以与目标人群在文化或背景上一致的方式呈现项目和/或(2)各个项目的响应锚混合在一起时(例如,正面对负面),误差差异最为明显。对于这三项研究,偏差的系统性模式和严重程度也得到了交叉验证。结果表明,在偏远少数民族研究中,测量偏差的来源和影响。识别出的响应偏差突出表明需要对当前的测量方法进行重新评估,这是基于传统建议的,即应混合使用响应锚或严格遵循仪器的原始措辞。具体而言,必须有系统的准则来将文化和背景背景纳入仪器设计。

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