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      • KCI등재

        A Case Study of Authentic English Utterances Compared with Classroom English in Korea

        Jaehwa Lee 한국외국어교육학회 2005 Foreign languages education Vol.12 No.2

        The aim of this study was to help elementary English teachers in Korea be more effective English teachers. This study discussed the concept of sociolinguistic features (face, address terms, and interjections) from an interactional sociolinguistics perspective. For this study, a native teacher’s English art classes (2nd grade) were recorded three times and carefully transcribed with the help of three native students in the University of Mississippi; informal interviews were done for checking some matters. Many differences between the native teacher’s utterances and the sentences in Classroom English published by the government of Korea were found. In terms of face, four patterns were found: from indirect to direct face threat, using ‘we’, using ‘if’, and changing to questioning. In the notion of address terms, two unique patterns were found: using titles such as ‘sir’ and ‘ma’am’ for politeness, and using nicknames such as ‘honey’ and ‘missy’ for solidarity or politeness. In the notion of interjections, three patterns were found: ‘OK’, ‘Now’, and ‘Howdy.’ On the basis of this study, it could be implied that, first, Classroom English should focus on contextual meanings as well as conventional meanings in instruct stages or teaching language skills, second, classroom English should make other categories for dealing with interjections such as ‘OK’, ‘Now’, and ‘Howdy’, and last, Classroom English should deal with some cultural knowledge for teachers.

      • KCI등재
      • KCI등재

        An Empirical Study on the Effect of Oversea Investment Insurance of Korea

        Jaehwa Lee,Jinhyeong Sim 한국무역금융보험학회(구 한국무역보험학회) 2020 무역금융보험연구 Vol.21 No.4

        본 논문은 해외투자보험이 우리나라 해외직접투자에 미치는 효과를 실증적으로 분석한 연구 이다. 해외투자결정에 관한 이론적 모형을 바탕으로 해외투자보험 인수실적을 추가적인 설명 변수로 포함한 연구모형을 설정하였다. 1995년부터 2018년까지 우리나라의 17개 투자 대상국 의 연도별 패널자료를 이용하여 계량모형을 추정하고 해외투자보험의 효과를 분석하였다. 패 널자료 분석 방법으로부터 추정한 결과를 요약하면, 투자 상대국의 GDP, 1인당 GDP, 무역량, 특허권은 우리나라의 해외직접투자에 모두 유의한 영향을 미친다. 해외직접투자를 신설투자 와 인수합병으로 구분하여 분석한 경우에도 마찬가지이다. 투자 상대국 부패인식지수의 영향 은 합동회귀모형의 경우에서만 유의한 것으로 추정되었다. 특히 본 연구의 관심대상인 해외투 자보험의 효과는 신설투자의 경우에서 통계적으로 유의한 것으로 나타났다. 반면, 인수합병의 경우에는 확실한 통계적 증거가 발견되지 않았다. 이러한 계량적 분석결과는 우리나라의 경우 해외투자보험의 효과가 실증적으로 존재하지만, 투자유형에 따라 효과의 차이가 발생할 가능 성이 높다는 점을 시사한다. 따라서 코로나-19 대유행과 같은 글로벌 경제 위기에서 해외투자 보험의 역할과 효과를 제고하기 위해서는 해외투자보험에 대한 세부적 규정이나 실무적 운영 측면에서 투자유형에 따라 정책적 차별화를 고려하는 시각이 필요하다. Purpose : The purpose of this study is to empirically examine the effect of Oversea Investment Insurance on Korean foreign direct investment in the 2000s. Research design, data, methodology : For this purpose, the study establishes an econometric model in the framework of theoretical equation for determinants of direct investment. Next, panel data estimations with pooled, fixed effects and random effects models have been conducted by using a panel data set for Korean Foreign Direct Investment to 17 partner countries from 1995 to 2018. Results : The estimation results demonstrate the evidence for the influence of GDP, per capita GDP, trade, and patent in its partner countries on flows of Korea’s foreign direct investment including green field and M&A investments. More importantly, it seems to be effective in the role oversea investment insurance of Korea; in particular for the green field investment of Korea. These results imply that the effect of the insurance is notable but it differs across the types of investment such as green filed and M&A. Conclusions : The results in the analysis suggest that the policy authority consider the possibility of the difference in the effect across the types of foreign direct investment, and implement more sophisticated management strategies according to the different types for oversea investment insurance in Korea.

      • KCI등재

        Correlational analysis of ordinal data: from Pearson's r to Bayesian polychoric correlation

        Jaehwa Choi 서울대학교 교육연구소 2010 Asia Pacific Education Review Vol.11 No.4

        Correlational analyses are one of the most popular quantitative methods, yet also one of the mostly frequently misused methods in social and behavioral research, especially when analyzing ordinal data from Likert or other rating scales. Although several correlational analysis options have been developed for ordinal data, there seems to be a lack of didactically written literature illustrating the appropriate use and differences among them. The purpose of this paper is to provide a synthesis of correlational analysis options when analyzing ordinal data. These options span from the traditional methods, such as Pearson's r, to more recent developments, such as Bayesian estimation of polychoric correlations. An illustration of these methods utilizing a contemporary dataset is provided.

      • KCI등재

        Exchange Rate Pass-Through into Export and Import Prices : Bounds Testing Analysis of the Case of Korea

        Jaehwa Lee 한국무역연구원 2014 貿易 硏究 Vol.10 No.2

        This study empirically examines the nature of the exchange rate pass-through (ERPT) into export and import prices in the case of a small open economy, such as Korea, by using the bounds testing approach. The estimation results obtained from the unrestricted error correction model (UECM) using data on Korea and its major trading partners, Japan and the United States (U.S.), provide new evidence that statistical significances in the degree of pass-through vary with respect to industries. The study also reveals heterogeneity across sectors in their reaction to exchange rate as well as its asymmetry and persistence. The evidence indicates that in the raw materials sector, ERPT differs between the short- and the long-run effects, suggesting that the incomplete ERPT seems persistent within the sector. The evidence for agriculture supports the hypothesis of asymmetric response to ERPT in the long run. This result supports previous findings, and also provides more insight into the exchange rate theory and trade policy.

      • KCI등재

        White Matter Alterations Associated with Pro-inflammatory Cytokines in Patients with Major Depressive Disorder

        Jaehwa Lim,Hoyoung Sohn,Min-Soo Kwon,김보라 대한정신약물학회 2021 CLINICAL PSYCHOPHARMACOLOGY AND NEUROSCIENCE Vol.19 No.3

        Objective: Regarding the neuroinflammatory theory of major depressive disorder (MDD), little is known about the effect of pro-inflammatory cytokines on white matter (WM) changes in MDD. We aimed to investigate the relationship between pro-inflammatory cytokines and WM alterations in patients with MDD. Methods: Twenty-two patients with MDD and 22 healthy controls (HC) were evaluated for brain imaging and pro-inflammatory cytokines including interleukin (IL)-1, IL-6, IL-8, interferon- and tumor necrosis factor (TNF)-. Tract-based spatial statistics and FreeSurfer were used for brain image analysis. Results: The levels of TNF- and IL-8 were significantly higher in the MDD group than in HC. Compared to HC, lower fractional anisotropy (FA), and higher median diffusivity (MD) and radial diffusivity (RD) values were found in the MDD group for several WM regions. Voxel-wise correlation analysis showed that the level of TNF- was negatively correlated with FA, and positively correlated with MD and RD in the left body and genu of the corpus callosum, left anterior corona radiata, and left superior corona radiata. Conclusion: Our findings suggest that TNF- may play an important role in the WM alterations in depression, possibly through demyelination.

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