Introducing regression discontinuity design to applied linguistics

Q2 Arts and Humanities
M. Sasaki, Yuki Higuchi, Makiko Nakamuro, Carsten Roever, Tomoko Yashima
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Abstract

This report presents regression discontinuity design (RDD) as a powerful analytical tool for use in applied linguistics showcased through our study of the impact of Japanese government study-abroad (SA) scholarships. RDD enables the estimation of causal effects in scenarios where a true experiment is not feasible by exploiting a naturally occurring cutoff point for treatment assignment. Because RDD may be novel to most readers in applied linguistics, this report provides a detailed step-by-step explanation of the standard RDD procedures our study exemplifies. The results section is crafted to reflect the conventional presentation style of RDD findings. Furthermore, the report’s concluding segment suggests scenarios within SA-related language learning research that could benefit from RDD application by enhancing the nuanced and precise interpretation of data in applied linguistics contexts.
将回归不连续设计引入应用语言学
本报告介绍了回归不连续设计(RDD)这一强大的分析工具,并通过我们对日本政府海外学习(SA)奖学金影响的研究,展示了它在应用语言学中的应用。RDD 通过利用自然出现的处理分配临界点,能够在无法进行真正实验的情况下估计因果效应。由于 RDD 对应用语言学领域的大多数读者来说可能比较陌生,因此本报告对我们的研究所示范的标准 RDD 程序进行了详细的分步解释。结果部分的设计体现了 RDD 研究结果的传统表述风格。此外,本报告的结论部分提出了与 SA 相关的语言学习研究中可以从 RDD 应用中获益的情景,通过加强应用语言学背景下对数据的细微和精确解释。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
1.50
自引率
0.00%
发文量
14
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