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영미 아동의 단음절 형용사 비교급 습득에 나타나는 음운적 제약
서지혜(JiHye Suh),전종섭(Jongsup Jun),이선영(SunYoung Lee) 한국외국어대학교 외국문학연구소 2016 외국문학연구 Vol.- No.61
Thisstudy investigates the phonological constraints on the English-speakingchildren’s acquisition of comparative forms focusing on the finalsegments of monosyllabic adjectives from the CHILDES databases.Earlier studies indicate that word-final phoneme plays an importantrole when children choose between synthetic- (e.g. hard-er) andperiphrastic- comparatives (e.g. more difficult). The present studyexamines how this phonological factor interacts with children’s country,age and errors in the acquisition of comparatives using log-linearmodels. The results show that three- and four-year-old Americanchildren make errors significantly more than British children ofcorresponding ages, and that children's errors tend to be found inmonosyllabic adjectives ending in plosives.
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데이터베이스 정규화 이론을 이용한 국민건강영양조사 중 다년도 식이조사 자료 정제 및 통합
권남지,서지혜,이헌주,Kwon, Namji,Suh, Jihye,Lee, Hunjoo 한국환경보건학회 2017 한국환경보건학회지 Vol.43 No.4
Objectives: Since 1998, the Korea National Health and Nutrition Examination Survey (KNHANES) has been conducted in order to investigate the health and nutritional status of Koreans. The food intake data of individuals in the KNHANES has also been utilized as source dataset for risk assessment of chemicals via food. To improve the reliability of intake estimation and prevent missing data for less-responded foods, the structure of integrated long-standing datasets is significant. However, it is difficult to merge multi-year survey datasets due to ineffective cleaning processes for handling extensive numbers of codes for each food item along with changes in dietary habits over time. Therefore, this study aims at 1) cleaning the process of abnormal data 2) generation of integrated long-standing raw data, and 3) contributing to the production of consistent dietary exposure factors. Methods: Codebooks, the guideline book, and raw intake data from KNHANES V and VI were used for analysis. The violation of the primary key constraint and the $1^{st}-3rd$ normal form in relational database theory were tested for the codebook and the structure of the raw data, respectively. Afterwards, the cleaning process was executed for the raw data by using these integrated codes. Results: Duplication of key records and abnormality in table structures were observed. However, after adjusting according to the suggested method above, the codes were corrected and integrated codes were newly created. Finally, we were able to clean the raw data provided by respondents to the KNHANES survey. Conclusion: The results of this study will contribute to the integration of the multi-year datasets and help improve the data production system by clarifying, testing, and verifying the primary key, integrity of the code, and primitive data structure according to the database normalization theory in the national health data.
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