经济学学生对女教师有偏见吗?证据来自随机双盲自然现场实验

IF 2.3 3区 经济学 Q2 ECONOMICS
Ola Andersson, Malin Backman, Niklas Bengtsson, Per Engström
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引用次数: 0

摘要

学生对教学的评价往往对女教师有偏见。这种偏见以前在匿名的网络环境中,如网络论坛中被证明是茁壮成长的。我们在自然教育环境中设计了一个随机、双盲实验来研究教学评估中的性别偏见。在新冠肺炎后的早期,我们随机为在线教师提供的指导分配了一个男性或女性的名字。重要的是,实际上回答问题的教师并不知道他们是作为男性还是女性与学生互动,这是对文献的一个新颖贡献。课程评估要求学生对导师的帮助、知识和反应时间进行评分。结果显示,在任何单一维度上,对女性导师都没有偏见。我们在零效应附近的置信区间与先前具有高度影响力的研究报告的效应大小不重叠。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Are economics students biased against female teachers? Evidence from a randomized, double-blind natural field experiment
Student evaluations of teaching tend to be biased against female teachers. Such biases has previously been shown to thrive in anonymous, online settings, such as internet forums. We designed a randomized, double-blind experiment in a natural educational setting to study gender biases in teaching evaluations. In the early post-Covid period, we randomly assigned a male or female name to the instructions given by the online teachers. Importantly, the teachers actually responding to the questions did not know whether they interacted with the students as male or female, which is a novel contribution to the literature. The course evaluation asked students to rate the mentors’ helpfulness, knowledge, and response time. The results show no bias against the female mentor in any single dimension. Our confidence interval around the zero effect does not overlap the effect sizes reported in highly influential previous studies.
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来源期刊
CiteScore
3.80
自引率
9.10%
发文量
392
期刊介绍: The Journal of Economic Behavior and Organization is devoted to theoretical and empirical research concerning economic decision, organization and behavior and to economic change in all its aspects. Its specific purposes are to foster an improved understanding of how human cognitive, computational and informational characteristics influence the working of economic organizations and market economies and how an economy structural features lead to various types of micro and macro behavior, to changing patterns of development and to institutional evolution. Research with these purposes that explore the interrelations of economics with other disciplines such as biology, psychology, law, anthropology, sociology and mathematics is particularly welcome.
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