• 한국체육학회지인문사회과학편
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• v.58 no.1
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• pp.295-308
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• 2019

The purpose of the present study is to apply a health belief model to the serious perception of an increase in youth obesity, and to develop and validate a measurement tool for youth obesity prevention among this group who are experiencing increasing rates of obesity. The specific goals of this study are to 1) apply a health belief model to develop a measurement tool for obesity prevention among youth who are seeing rising rates of obesity, and 2) provide an integrated validation procedure and foundation for developing this measurement tool. A total of 1801 high school students[sample1: 902(male:464,female:438); sample2: 899(male:464,female:438)] were recruited and collected data from 12 high school in Seoul and Kyonggi area. For this study the analytic framework of unified validity was developed which can comprehensively reflect unified validity be Messick(1995), framework for conducting a strong program of construct validation by Benson(1998), the unified validity implementation method of Rasch model suggested by Wolfe and Smith(2007a, 2007b). Furthermore, after dividing the developed analytic framework into each stage(the substantive domain), the evidence of validity of Youth Obesity Prevention Scale(YOPS) applying Health Belief Model was systematically suggested. The YOPS suggested the evidence about the substantive domain of unified validity. The developed YOPS was consist of Susceptibility, Severity, Benefits, Barriers and Cues to Action. After 3 stage in substantive domain, the components of YOPS(5factors and 28items) satisfied the unidimensionality, and the 5 point Likert scale had the significant discrimination of the respondents' response.

• The Korean Journal of Applied Statistics
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• v.24 no.4
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• pp.567-573
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• 2011

This study develops a predictive model for household water end-uses based on data that have measured household characteristics, housing characteristics and other items, surveyed over 3 years in Korea. However, the measured data was left-skewed and it was not fitted to normal distribution. The parameter estimate were biased when using a multiple regression model. In addition, the results of the testing for the model were usually of significance due to the tiny residual from a large number of observations. In order to solve the problem, we suggested log-normal regression model and Weibull regression model as alternatives. The results of this study can be utilized in the planning stages of water and waste water facilities.

• Korean Journal of School Psychology
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• v.9 no.3
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• pp.485-503
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• 2012

Academic engagement has been known as a strong predictor of students' cognitive and affective outcomes in an educational context. Despite increasing interest and theoretical usefulness of this construct, a few researchers seem to be interested in the validation of instruments to measure academic engagement for Korean students. Thus, this study would like to introduce one of academic scales widely used, UWES-S(Utrecht Work Engagement Scale-Student) (Schaufeli et al., 2002a: 2002b) and to validate the UWES-S for Korean college students. To validate the Korean version of the UWES-S, 651 college students (285 for Field Trial, 366 for Main Study) were used. The procedure is as follows. First, we used an integrated adaptation procedure to produce a Korean version of the UWES-S. Second, EFA(exploratory factor analyses) was applied to explore the factor structure of the UWES-S on the field trial data. Third, the psychometric properties of the UWES-S items were examined by graded response model(GRM). Also CFA(confirmatory factor analysis) was used to examine its internal construct validity for the data from the main study. Finally, the external validity of the UWES-S was scrutinized with the related variables such as academic motivation and satisfaction. As a result, the Korean version of the UWES-S with 13 items was accepted that the four items were excluded from its original version. Second, the internal validity was supported that the 3 factor CFA model(vigor, dedication, absorption) fit the data well. Third, we supported the partial mediation model that academic engagement played as a mediating variable between academic motivation(internal/external) and academic satisfaction. Finally, the differences between a validation of UWES-S for Korean college and high school students, the necessity of construct equivalence testing, and direction for future research of scale validating were discussed.

• Journal of the Korean Institute of Landscape Architecture
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• v.19 no.1
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• pp.45-59
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• 1991

본 연구에서는 객관적 환경지표와 그에 대한 인간의 주관적 반응간 의 인과적 관련도의 중요성이 강조된다. 좀 더 구체적으로, 거주자의 주관 적 반응인 주거만족과 객관적 환경지표의 하나인 주거환경유형들(건물유형 과 건물배치유형)과의 인과적 관련도가 본 연구에서 중점적으로 토의된다. 한국의 6개 대단위 공동주택단지가 본 연구의 대상지로 선정되었고, 표본 추출시 건물유형과 건물배치유형을 고려한 다단계 표집방법(multistage sampling)이 사용되었다. 설문면답방법(modified structured survey)에 의해 646명의 처리 가능한 응답이 수거되었다. 인과모형 검증의 첫 단계로서 다 수의 설문문항을 원래 관심있는 소수의 변수로 정선, 추출하기 위한 방법 으로 요인분석이 사용되었다. 요인분석으로부터 정선, 추출된 변수를 이용 해서 본 연구의 가설모형이 정립되고, 그 모형을 검증하기 위한 방법으로 경로분석이 사용되었다. 분석결과를 요약해 볼 때, 건물유형과 건물배치유 형 모두가 거주자의 지각, 인식, 태도 등의 적절한 매개변수들을 통해 거주 자의 주거만족에 유의한 영향을 미치는 것으로 나타났다. 건물유형은 일반 적으로 저층주거에서 고충주거로 바뀌면서, 거주자의 주거만족에 부정적인 영향을 미치고 있음이 확인되었고, 고층주거가 거주자에게 주는 시각적 단 조로움, 과밀감, 그리고 주차장을 포함한 옥외공간 이용상의 불편들과 또 그들로 인한 낮은 안전성 및 경관에 대한 불만족 등이 그 이유로서 밝혀졌 다. 건물배치유형의 경우, U자형의 배치유형이 선형배치유형에 비해 과밀 감 해소, 시각적 명료성 향상, 그리고 옥외공간 이용상의 편리 등 및 또 그 에 따른 경관에 대한 만족의 향상 때문에 거주자의 주거만족을 높이는 데 유리한 것으로 나타났다. 주거와 관련된 설계 및 계획분야를 위한 여러 다 양한 제안들이 본 연구에서 제시되고, 추후 관련 연구들을 위한 가능성들 도 토의되었다. 그 유용성 때문에, 아직 많은 이론적, 방법론적, 그리고 분 석상의 문제에도 불구하고, 객관적 환경지표들과 이용자들의 만족을 포함 한 다양한 주관적 변수들과의 관계를 경험적으로 밝히려는 시도가 계속되 어야 할 것으로 사료된다.

• Korea Trade Review
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• v.48 no.3
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• pp.151-176
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• 2023

This paper critically examines the role performance of local distributors within the Stimulus-Organism-Response (SOR) model, while also considering the moderating influence of market competition on the organism (O) and response (R) elements. Adopting a holistic approach, the SOR model provides a comprehensive framework for analyzing how external stimuli, including distributive, procedural, and interaction unfairness, interact with internal psychological processes, such as perceived unfairness, to shape the long-term orientation of importing agents. Moreover, this study acknowledges the pivotal role of market competition in the operational context of local distributors. It posits that competitive market dynamics play a crucial role in intensifying the relationship between behavioral factors and the long-term orientation of distributors, thereby revealing contingent effects within the SOR model. Through the exploration of these dynamics, this study contributes to a comprehensive understanding of the interplay among external stimuli, internal psychological processes, and market competition within the SOR framework, advancing our knowledge in this field.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.12
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• pp.170-185
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• 2016

The purpose of this study was to investigate the relationship among instructor's non-verbal communication, emotional reaction, and self-efficacy. By using convenience sampling method of non-provability sampling, 258 student athletes from S and D cities were selected for a questionnaire survey. The 184 returned surveys were analyzed with structural equation modeling through SPSS 22.0 and AMOS 22.0 statics program. The study results are summarized as follows. First, instructor's non-verbal communication has a positive influence on emotional reaction of high school student athletes. Second, high school student athletes experiencing emotional reactions by instructor have a positive influence on self-efficacy. Third, instructor's non-verbal communication does not influence self-efficacy of high school student athletes directly. Fourth, emotional reactions of high school student athletes experienced by instructor's non-verbal communication have a mediating effect on self-efficacy. Fifth, neither gender nor exercise period has a moderating effect on the relationship between non-verbal communication, emotional reactions, and self-efficacy.

• Journal of the Korean Data and Information Science Society
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• v.21 no.2
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• pp.231-240
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• 2010

If only fixed effects exist in a 4 $\times$ 4 balanced incomplete block design, powers of FR statistic for testing a main effect show the highest level with a few replications. Under the exponential and double exponential distributions, FR statistic shows relatively high powers with big differences as compared with the F statistic. Further in a traditional balanced incomplete block design, powers of FR statistic having a fixed main effect and a random block effect show superior preference for all situations without regard to the effect size of a main effect, the parameter size and the type of population distributions of a block effect. Powers of FR statistic increase in a high speed as replications increase. Overall power preference of FR statistic for testing a main effect is caused by unique characteristic of a balanced incomplete block design having one main and block effect with missing observations, which sensitively responds to small increase of main effect and sample size.

• Journal of the Korean Data and Information Science Society
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• v.11 no.2
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• pp.235-245
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• 2000

In this paper, we consider the Regression Quantiles Estimators in nonlinear regression models. This paper provides the sufficient conditions for strong consistency and asymptotic normality of proposed estimation and drives asymptotic relative efficiency of proposed estimatiors with least square estimation. We give some examples and results of Monte Carlo simulation to compare least square and regression quantile estimators.

• The Korean Journal of Applied Statistics
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• v.16 no.2
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• pp.407-426
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• 2003

We consider the missing covariates problem in generalized estimating equations(GEE) model. If the covariate is partially missing, GEE can not be calculated. In this paper, we study the performance of 7 imputation methods to handle missing covariates in GEE models, and the properties of GEE estimators are investigated after missing covariates are imputed for ordinal data of repeated measurements. The 7 imputation methods include i) Naive Deletion ii) Sample Average Imputation iii) Row Average Imputation iv) Cross-wave Regression Imputation v) Carry-over Imputation vi) Bayesian Bootstrap vii) Approximate Bayesian Bootstrap. A Monte-Carlo simulation is used to compare the performance of these methods. For the missing mechanism generating the missing data, we assume ignorable nonresponse. Furthermore, we generate missing covariates with or without considering wave nonresp onse patterns.

• Journal of the Korean Data and Information Science Society
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• v.17 no.3
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• pp.707-716
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• 2006

When the regression function is discontinuous at a point, the variance function is usually discontinuous at the point. In this case, we had better propose a test for the existence of a discontinuity point with the regression function rather than the variance function. In this paper we consider that the variance function only has a discontinuity point. We propose a nonparametric test for the existence of a discontinuity point with the second moment function since the variance function and the second moment function have the same location and jump size of the discontinuity point. The proposed method is based on the asymptotic distribution of the estimated jump size.