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引用次数: 0
摘要
在Apfeld et al(2021)的原始出版物中,编码错误导致图4中绘制的结果不正确,图4通过被调查对象的高中毕业年份单独估计了大学入学率对社会资本的影响。更正后的数字如下所示。修正后的结果虽然有些不同,但并没有改变这些发现的总体不确定性。正如在最初的文章中所述,一旦数据被分解成子样本,就没有足够的能力来准确地估计每个子组的影响,以了解哪些更大,哪些更小。请注意,点估计通常不会集中在置信区间内,因为置信区间使用稳健的偏差校正,而点估计则不会,两者都遵循用于这些分析的函数中的标准选项(参见原始论文以获得进一步描述)。
In the original publication of Apfeld et al (2021), a coding mistake caused the results plotted in Figure 4, which separately estimates the effect of university attendance on social capital by respondents’ year of high school graduation, to be incorrect. The corrected figure appears below. The corrected results, while somewhat different, do not change the overall inconclusive nature of these findings. As stated in the original article, it would appear that once the data are broken into subsamples there is inadequate power to estimate each subgroup effect precisely enough to learn which are larger and which are smaller. Note that the point estimates are not generally centered inside the confidence intervals because the confidence intervals use a robust bias correction while the point estimates do not, both following the standard options in the function used for these analyses (see original paper for further description).
期刊介绍:
The Journal of Experimental Political Science (JEPS) features cutting-edge research that utilizes experimental methods or experimental reasoning based on naturally occurring data. We define experimental methods broadly: research featuring random (or quasi-random) assignment of subjects to different treatments in an effort to isolate causal relationships in the sphere of politics. JEPS embraces all of the different types of experiments carried out as part of political science research, including survey experiments, laboratory experiments, field experiments, lab experiments in the field, natural and neurological experiments. We invite authors to submit concise articles (around 4000 words or fewer) that immediately address the subject of the research. We do not require lengthy explanations regarding and justifications of the experimental method. Nor do we expect extensive literature reviews of pros and cons of the methodological approaches involved in the experiment unless the goal of the article is to explore these methodological issues. We expect readers to be familiar with experimental methods and therefore to not need pages of literature reviews to be convinced that experimental methods are a legitimate methodological approach. We will consider longer articles in rare, but appropriate cases, as in the following examples: when a new experimental method or approach is being introduced and discussed or when novel theoretical results are being evaluated through experimentation. Finally, we strongly encourage authors to submit manuscripts that showcase informative null findings or inconsistent results from well-designed, executed, and analyzed experiments.