Warne Russell T, Yoon Myeongsun, Price Chris J
Department of Behavioral Science, Utah Valley University.
Department of Educational Psychology, Texas A&M University.
Cultur Divers Ethnic Minor Psychol. 2014 Oct;20(4):570-582. doi: 10.1037/a0036503.
Test bias is a hotly debated topic in society, especially as it relates to diverse groups of examinees who often score low on standardized tests. However, the phrase "test bias" has a multitude of interpretations that many people are not aware of. In this article, we explain five different meanings of "test bias" and summarize the empirical and theoretical evidence related to each interpretation. The five meanings are as follows: (a) mean group differences, (b) differential predictive validity, (c) differential item functioning, (d) differing factor structures of tests, and (e) unequal consequences of test use for various groups. We explain in this article why meanings (a) and (e) are not actual forms of test bias and that there are serious concerns about (b). In our conclusion, we discuss the benefits of standardized testing for diverse examinees and urge readers to be careful and precise in their use of the phrase "test bias."
考试偏差是社会上一个备受争议的话题,尤其是当它涉及到在标准化考试中得分往往较低的不同考生群体时。然而,“考试偏差”这个短语有多种解释,很多人并不知晓。在本文中,我们解释了“考试偏差”的五种不同含义,并总结了与每种解释相关的实证和理论证据。这五种含义如下:(a)群体平均差异;(b)差异预测效度;(c)项目功能差异;(d)考试的不同因素结构;(e)考试对不同群体使用产生的不平等后果。我们在本文中解释了为什么含义(a)和(e)不是考试偏差的实际形式,以及对含义(b)存在严重担忧。在结论部分,我们讨论了标准化考试对不同考生的益处,并敦促读者在使用“考试偏差”这个短语时要谨慎和准确。