Groenvold M, Bjorner J B, Klee M C, Kreiner S
Department of Social Medicine, University of Copenhagen, Denmark.
J Clin Epidemiol. 1995 Jun;48(6):805-16. doi: 10.1016/0895-4356(94)00195-v.
Item bias (differential item functioning) analysis examines whether the construction of an index from two or more variables results in bias in relation to sex, age, or other criteria. Item bias may lead to erroneous conclusions because of distortion or dilution of the effects measured. In comparing groups, item bias analysis, tests whether the information about possible differences between groups, obtained by the variables constituting an index, are correctly passed on by the index score. We examined a quality of life questionnaire answered by 1189 breast cancer patients. We found age-bias or bias in the comparison of groups receiving different treatments in three out of nine indexes. Recommendations for the interpretation of these indexes are made. Item bias analysis is a useful method examining an issue not covered by traditional psychometric tests.
项目偏差(差异项目功能)分析考察从两个或多个变量构建的指标在性别、年龄或其他标准方面是否存在偏差。项目偏差可能会导致错误的结论,因为所测量的效应会被扭曲或稀释。在比较不同组时,项目偏差分析会检验由构成一个指标的变量所获得的关于组间可能差异的信息是否通过指标得分被正确传递。我们研究了1189名乳腺癌患者回答的一份生活质量问卷。我们在九个指标中的三个指标上发现了年龄偏差或在接受不同治疗的组间比较中存在偏差。针对这些指标的解释给出了建议。项目偏差分析是一种检验传统心理测量测试未涵盖问题的有用方法。