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RISS 인기검색어
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- 저자 : 김동일(Young-Mi Cho) (검색결과 3 건)
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김동일 ( Kim,Dong-il ),안예지 ( An Ye-ji ),이미지 ( Lee Mi-ji ),조영희 ( Cho Young-hee ),박소영 ( Park So-young ),고혜정 ( Koh Hye-jung ) 한국특수아동학회 2016 특수아동교육연구 Vol.18 No.3
연구목적: 어휘력은 읽기 이해를 예측하는 주요한 변인이며, 신뢰성 있는 어휘 검사도구를 통하여 아동의 어휘력을 정확히 평가하는 것은 효과적인 중재시행에 있어 필수적인 선행과제이다. 이에 따라 본 연구는 경기도 소재 초등학생 119명을 대상으로 수집된 데이터를 활용하여 기초학습 수행평가체제 어휘검사의 타당도를 확보하고자 하였다. 연구방법: 본 연구는 초등 교육과정에 기반을 둔 16개의 준거(‘반의어’, ‘동음이의어·다의어’, ‘유의어’, ‘단어의 뜻 찾기’, ‘의미장’, ‘순우리말·한자어·외래어’, ‘문맥 또는 문장에 적절한 단어 선정’, ‘꾸며주는 말’, ‘시간·장소를 나타내는 말’, ‘순서를 나타내는 말’, ‘접속사’, ‘비유이해’, ‘높임말·예사말’, ‘단어의 발음’, ‘단어의 짜임’,‘의성어·의태어’)를 바탕으로 교과서 어휘를 분석 및 수록하여, 교육과정에 기반한 어휘검사 42문항을 개발하였다. 개발된 어휘검사는 초등학교 3학년 119명의 학생들에게 실시하여 검사의 신뢰도, 타당도, 그리고 문항모수를 검증하였다. 연구결과: 전체 신뢰도는 Cronbach’s alpha 값이0.819로 높게 나타났으며, 구인타당도 분석 결과, 모형 적합도를 설명하는 각 지표 CFI, TLI,RMSEA가 0.840, 0.806, 0.067으로 나타나 적합한 모형으로 확인되었다. 결론: 끝으로, 본 연구결과를 토대로 시사점과 향후 연구제언을 기술하였다. Purpose: Vocabulary is a powerful predictor of reading comprehension; The student’s vocabulary acquisition should be evaluated with a reliable measurement in order to provide effective interventions. Thus, this study aimed to explore the validity of Basic Academic Skills Assessment (BASA) : Vocabulary using data collected from 119 elementary school students who are enrolled in Gyeonggi area. Method: This study developed vocabulary measurement which consists of 16 sub-constructs (‘Antonym’, Homonym/Polysemy’, ‘Synonym’, ‘Definition’, ‘Semantic field’, ‘Pure Korean/Sino-Korean/Ioanword’, ‘Cloze’, ‘Descriptive’, ‘Time/Location’, ‘Ordinal’, ‘Conjunction’, ‘Metaphor’, ‘Honorific/Colloquial’, ‘Pronunciation’, ‘Organization’, ‘Onomatopoeia/Mimetic word’) based on elementary national curriculum in Korea. A total of 42 test items were developed by using vocabulary that were selected from Korean textbooks. The Basic Academic Skills Assessment (BASA) : Vocabulary was given to 119 third-graders to verify its reliability, validity, and item parameter. Results: The Cronbach``s alpha for the overall test revealed to be high enough ( = 0.819). Confirmatory factor analysis also demonstrated satisfactory model fit (CFI = 0.840; TLI = 0.806; RMSEA = 0.067). Conclusion: Based on the results, implications and suggestions for future studies were discussed.
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김동일(Dong Il Kim),정여주(Yeo Ju Chung),이은아(Eun A Lee),김동민(Dong Min Kim),조영미(Young Mi Cho) 한국상담학회 2008 상담학연구 Vol.9 No.4
This study was aimed at developing short version of K scale. K Scale that has been used was too long to fill out for youth and hard to screen faking good or bad. Therefore, in this study, we cut down 40 items of K scale into 20 items. These scales were developed for youth who are prone to internet addiction. KS scale increased sensitivity of screening yet decreased items in half for the sake of testee. KS scale was developed based on K scale. 3,016 K12 students participated in this study. The survey included K scale, KS scale, and Youth Risk Scale, which was developed at Korea Youth Counseling Institute. 20 items of KS scale were selected from K scale (2002) using determinant analysis. High risk group was defined above 70 of standardized score and low to medium risk group is between 65 and 69 in standardized score. As a result of comparing the compositions of each group(High risk, low to medium risk and general groups) from KS scale and K scale, both scales predicted 70~80 percent of each group in same way. Therefore, the validity of KS scale was achieved. As a result of reliability analysis of KS scale, Cronbach`s alpha for the elementary students score was .887 and Cronbach`s alpha for middle school students score was .909. Compared to Cronbach`s alpha in K scale (.944 for elementary students and .955 for middle school students), the reliability of KS scale became a little lower. Yet the reliability of the KS scale is statistically significant. For the analysis of criterion-related validity, we compared the score of KS scale with the scores of internet addiction in Youth Risk Scale. The results of correlation coefficient showed .49 for high school students and. 60 for elementary students. In short, the student who has high score in KS scale also has high score in Youth Risk Scale. Also, the correlation scores of sub-factors between KS scale and Youth Risk Scale are around. 40. therefore, we could confirm correlation between KS scale and Youth Risk Scale. For the analysis of construct validity, we tested Structural Equation Model using AMOS 12.0. The result supported the model of 6 factors in the KS scale (NFI = 0.983; CFI = 0.990; RMSEA = 0.034; for elementary students, NFI = 0.985; CFI = 0.997; RMSEA = 0.019 for middle school and high school students). These scales are for youth. KS scale could be a check list for an internet user to test their proneness to internet addiction by him/herself.
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김동민(Dong-Min Kim),조영미(Dong-Il Kim),김동일(Young-Mi Cho),이은아(Eun-A Lee),정여주(Yeo-Ju Jeong),고영삼(Young-Sam Ko),엄나래(Na-Rae Aum) 한국열린교육학회 2008 열린교육연구 Vol.16 No.1
This study was aimed at developing the Structured Intake Interview Form. This intake form was for diagnosing the severity of addiction, predicting prognosis, and reflecting the evaluation into future treatment plans. This intake form is based on constructs of causes, internal mechanism, and pathological symptoms, which were introduced in Davis"(2001) Cognitive-Behavioral Model of Pathological Internet Use and Cheong-Taek Kim and his colleagues"(2002) Internet-Addiction Structure Model. The items of intake form are composed of demographic variables and symptoms. We have revised this form through the interviewee and interviewers" feedbacks, two pilot tests and several experts" meetings. In addition, we asked 80 interviewers to complete this intake form, self-reported KS scale, Observer rating scale on one internet overusing adolescent. Totally 53 cases were gathered. The total correlation coefficient between this intake form and KS scale was .56(p<.001), and that between this form and Observer rating scale was also .56(p<.001). In addition, the results showed statistically significant correlations between this form"s and KS scale"s subscales(disturbance of adaptive functions: r=.52, p<.001, withdrawal: r=.46, p<.001). This results was identical in correlations between this form"s and Observer rating scale"s subscales(disturbance of adaptive functions: r=.49, p<.001, withdrawal: r=.34, p<.05). This intake interview form was for counselors and teachers. It would be the basic information to examine the severity of addiction and causes, and establish the treatment plan. 본 인터넷 과다사용 청소년 접수면접진단지는 인터넷 중독 자가진단 척도상에서 과다사용자로 판별되거나 일상생활 관찰을 통해 인터넷 과다사용이 의심되는 청소년의 인터넷 중독수준, 원인, 치료적 예후를 평가하고 평가 내용을 향후 치료와 지도 계획에 반영하기 위한 목적으로 개발되었다. 본 접수면접진단지는 Davis(2001)의 병리적 인터넷 사용의 인지-행동적 모형, 김청택, 김동일, 박중규, 이수진(2002)의 인터넷중독구조모형에서 인터넷 중독의 원인, 내적 기제, 병리적 증상으로 제시된 구인들을, 인구학적 변인과 증상을 묻는 문항들로 구현한 것이다. 본 접수면접진단지는 피면접자와 면접자로부터의 피드백, 예비조사, 지속적인 전문가 회의를 통해 수차례 수정, 보완하였다. 그 결과, 피면접자의 거부 반응을 최소화하면서 인터넷 중독수준, 원인, 치료적 예후의 정보 획득이 가능한 접수면접진단지를 구성할 수 있었다. 또한 본 접수면접진단지의 중독수준 평가의 타당성을 확보하기 위해 53개의 사례를 대상으로 다른 청소년 인터넷 중독 진단척도들(청소년 인터넷 중독 자가진단 간략형 척도, 청소년 인터넷 중독 관찰자용 척도)과의 상호관련성을 알아본 결과, 유의한 정적 상관(각각 r=.56, p<.001)이 존재한다는 것을 확인할 수 있었다. 본 접수면접진단지는 상담기관이나 학교 현장에서 인터넷 과다사용 청소년을 만나야 하는 상담자나 교사가 청소년의 인터넷 중독수준, 원인, 치료적 예후를 평가하고 향후 치료나 지도계획을 수립하는 데 매우 유용한 역할을 할 것으로 기대된다.
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