• Journal of Gifted/Talented Education
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• v.24 no.2
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• pp.289-312
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• 2014

The purpose of this study is to develop academic resilience scale for gifted youth. We extracted the pilot questionnaire of 101 items from open-ended questions with 178 scientifically gifted students and literature review. Item analysis and exploratory factor analysis were also carried out with data of 240 gifted youth. Finally, 11 factors from which 42 items were extracted and validated through the confirmatory factor analysis involving 444 gifted youth throughout the nation. The names of the extracted factors were sense of purpose, self-understanding, educational aspirations, academic self-regulation, task commitment, attribution for success (ability), attribution for success (effort), the interpersonal relationship (friend), the interpersonal relationship (parent), the interpersonal relationship(teacher), and optimism. The results show that all of the path coefficient and construct reliability, AVE (Average Variance Extracted), and coefficient of determination were all acceptable. The result of the study indicated that Academic Resilience Scale for Gifted Youth was positively and significantly correlated with School Adaptation Scale and Resilience Scale. However it was negatively correlated with Academic Burnout Scale, and it was statistically significant. Thus, Academic Resilience Scale for Gifted Youth demonstrated satisfactory internal validity and external validity. The results of the present study suggests theoretical and practical implications of the newly developed Academic Resilience Scale for Gifted Youth.

• Magazine of the Korean Society of Agricultural Engineers
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• v.22 no.3
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• pp.75-87
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• 1980

Most hydro]ogic phenomena are the complex and organic products of multiple causations like climatic and hydro-geological factors. A certain significant correlation on the run-off in river basin would be expected and foreseen in advance, and the effect of each these causual and associated factors (independant variables; present-month rainfall, previous-month run-off, evapotranspiration and relative humidity etc.) upon present-month run-off(dependent variable) may be determined by multiple regression analysis. Functions between independant and dependant variables should be treated repeatedly until satisfactory and optimal combination of independant variables can be obtained. Reliability of the estimated function should be tested according to the result of statistical criterion such as analysis of variance, coefficient of determination and significance-test of regression coefficients before first estimated multiple regression model in historical sequence is determined. But some error between observed and estimated run-off is still there. The error arises because the model used is an inadequate description of the system and because the data constituting the record represent only a sample from a population of monthly discharge observation, so that estimates of model parameter will be subject to sampling errors. Since this error which is a deviation from multiple regression plane cannot be explained by first estimated multiple regression equation, it can be considered as a random error governed by law of chance in nature. This unexplained variance by multiple regression equation can be solved by stochastic approach, that is, random error can be stochastically simulated by multiplying random normal variate to standard error of estimate. Finally hybrid model on estimation of monthly run-off in nonhistorical sequence can be determined by combining the determistic component of multiple regression equation and the stochastic component of random errors. Monthly run-off in Naju station in Yong-San river basin is estimated by multiple regression model and hybrid model. And some comparisons between observed and estimated run-off and between multiple regression model and already-existing estimation methods such as Gajiyama formula, tank model and Thomas-Fiering model are done. The results are as follows. (1) The optimal function to estimate monthly run-off in historical sequence is multiple linear regression equation in overall-month unit, that is; Qn=0.788Pn+0.130Qn-1-0.273En-0.1 About 85% of total variance of monthly runoff can be explained by multiple linear regression equation and its coefficient of determination (R2) is 0.843. This means we can estimate monthly runoff in historical sequence highly significantly with short data of observation by above mentioned equation. (2) The optimal function to estimate monthly runoff in nonhistorical sequence is hybrid model combined with multiple linear regression equation in overall-month unit and stochastic component, that is; Qn=0. 788Pn+0. l30Qn-1-0. 273En-0. 10+Sy.t The rest 15% of unexplained variance of monthly runoff can be explained by addition of stochastic process and a bit more reliable results of statistical characteristics of monthly runoff in non-historical sequence are derived. This estimated monthly runoff in non-historical sequence shows up the extraordinary value (maximum, minimum value) which is not appeared in the observed runoff as a random component. (3) "Frequency best fit coefficient" (R2f) of multiple linear regression equation is 0.847 which is the same value as Gaijyama's one. This implies that multiple linear regression equation and Gajiyama formula are theoretically rather reasonable functions.

• International Journal of Highway Engineering
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• v.12 no.2
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• pp.9-16
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• 2010

Roughness is the most important factor to maintain the road performance, and affects greatly on the design life in Jointed Plain Concrete pavements. Also, the factors the evaluate pavement‘s commonality is the three method such as functionality, safety and structural performance. In evaluating function of road, representative factors is the roughness, which has been used to determine maintenance time as key standard. As research for roughness is absence in pavement design. Applied roughness-model had a low-reliability in Korea. Therefore, it is needed to develop reliable model in road roughness. In this research, uniform specific is applied to distribute them after selecting the concrete pavements. Concrete pavement is divided by sections of 238. Total length of this sections has 281km and account for 16% of total road length in korean concrete pavements for selected sections. Considering the korean roughness-model, the evaluation of roughness is performed for the freezing index, average annual rainfall, condition for the base, the amount of traffic as well as spalling(%), cracking(%), age(year) at the selected section at the selected section. Also, additional sections is selected to evaluate various age which affects on the roughness. As a result of the analysis, it showed that spalling(%), cracking(%), age(year), and the condition of the base affected road roughness. When the correlation with the road roughness was analyzed, the reliable model for road roughness was proposed, and the ratio that can explain road roughness was R2-68.8% and P value-0 which is statistically meaningful.

• Korean Security Journal
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• no.32
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• pp.151-176
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• 2012

Government organizations (including police, prosecutor, and Financial Supervisory Service) and programs to uncover or prevent from insurance crime are not well developed. However, insurance crime are increasing among not only private insurances such as life insurance, indemnity insurance, and auto insurance but also public insurances including national health insurance and industrial accident compensation insurance. The damages of crimes are serious in both economical and ethical perspectives. Insurance crime deteriorates a current account of insurance companies and the leakages due to insurance fraud worsen loss ratio. Consequently, insurance crime increases customers' costs of insurance. For this reason, insurance companies stated to establish Special Investigation Unit(SIU) to detect insurance crime and fraud by themselves. However, organizational and operational efficiencies are limited. The purpose of this study is to examine the relationship between work environment factors, perception of insurance crime and job satisfaction among Special Investigation Units. Therefore, this study investigated the perception of work environments of Special Investigation Units. In addition, this study examined how their work environments and general perception of insurance crime influence their job satisfaction. In order test the purpose of this study, reliability test, exploratory factor analysis(EFA), multiple regression were employed. The results of this study suggested that clarity of insurance company, distress/difficulty of resolve, compensation, perception of work pressure are statistically significant on jab satisfaction among Special Investigation Unit in South Korea. This exploratory study expected to contribute to understanding of Special Investigation Unit, and their insurance crime prevention system. The results from this analysis will be examined in light of previous findings and policy implications discussed.

• Journal of Korean Society of Transportation
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• v.29 no.1
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• pp.39-46
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• 2011

Speeding is a major cause of traffic accidents that affects the safety of pedestrians and harms drivers and their families, property and mental health. However, most researches on speeding behavior have been conducted by survey method, so the relationship between cause and effect is not clear. The reliability of the research cannot be carefully examined because most researches involve retrospective methods. It is clear that conducting experimental research is important for overcoming these limitations, but it is impossible to perform tests with real cars in real traffic situations due to the inability to control situational factors (e.g., other vehicles, traffic signal) which affect participants' behavior. A car simulator experiment was designed and the theory of planned behavior was applied to the experiment. Each participant was grouped and assigned to either high speeding intention group or low speeding intention group according to their levels of speeding intention and analyzed the difference of driving behavior indexes between two groups. The results revealed statistically significant differences between two groups on driving speed, speeding frequency, and accelerator pressure deviation. Finally, the limitations and the implications of this study were discussed.

• Journal of the Korean Society of Clothing and Textiles
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• v.35 no.7
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• pp.801-815
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• 2011

This study examines the characteristics of marketing and customer that influence the selection of multichannel (preference/frequency of use) in the fashion retail. The subjects of this study are men and women live in Seoul/Gyeonggi province and Busan/Gyeongsangnam-do in their 20s-40s who have shopping experiences in fashion items of more than 2 shopping channels among offline stores, catalogs, and the internet. The survey period was from March to May 2010 and 411 forms were used in this survey. The data were analyzed by a reliability analysis (Cronbach's ${\alpha}$), a factor analysis, t-test and one-way ANOVA. The main results of this study are summarized as follows. First, marketing characteristics, which effect the selection of multichannel (preference/frequency of use), consist of sales promotion, service, price, merchandise, and distribution. Those have a significant influence (***p${\leq}$.001) on choosing multichannel of fashion retail. Price has a significant impact on the preference of multichannel and merchandise affect for frequency of use in multichannel shopping. Second, customer characteristics have a significant influence (***p${\leq}$.001) on the monthly average purchasing amount, shopping hours, shopping frequency, brand knowledge, and price sensitivity. Particularly, monthly average purchasing amount & shopping frequency have meaningful differences in the frequency of using multichannel; in addition, shopping hours were affected by preference & frequency of use. Price sensitivity has a greater influence on the frequency of using multichannel and brand knowledge has a greater effect on multichannel preference. Customer's information searching characteristics have main 3 factors through the use of marketing information, personal information and experience information. Application of experience information is the main factor in preference and frequency of using multichannel shopping. The customer demographic characteristics of age (*p${\leq}$.05, **p${\leq}$.01) and gender (*p${\leq}$.05) show a difference for selecting multichannel. There is no difference for marital status, average household income per month, and job.

• Economic and Environmental Geology
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• v.43 no.4
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• pp.381-391
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• 2010

Probabilistic prediction methods of landslides which have been developed in recent can be reliable with premise of detailed survey and analysis based on deep and special knowledge. However, landslide susceptibility should also be analyzed with some reliable and simple methods by various people such as government officials and engineering geologists who do not have deep statistical knowledge at the moment of hazards. Therefore, this study suggests an evaluation chart of landslide susceptibility with high reliability drawn by accurate statistical approaches, which the chart can be understood easily and utilized for both specialists and non-specialists. The evaluation chart was developed by a quantification method based on canonical correlation analysis using the data of geology, topography, and soil property of landslides in Korea. This study analyzed field data and laboratory test results and determined influential factors and rating values of each factor. The quantification analysis result shows that slope angle has the highest significance among the factors and elevation, permeability coefficient, porosity, lithology, and dry density are important in descending order. Based on the score assigned to each evaluation factor, an evaluation chart of landslide susceptibility was developed with rating values in each class of a factor. It is possible for an analyst to identify susceptibility degree of a landslide by checking each property of an evaluation factor and calculating sum of the rating values. This result can also be used to draw landslide susceptibility maps based on GIS techniques.

• Journal of Digital Convergence
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• v.14 no.2
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• pp.449-457
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• 2016

The purpose of this study was empirically to reveal the effects of emotional labor and job burnout of the ski resort workers on service level. For the study, a survey of 215 people working in domestic ski resorts was conducted. Emotional labor was composed of two sub-factors: surface acting and deep acting. Service level was composed of three sub-factors: tangibles, responsiveness, endeavor. The following results were obtained by confirmatory factor analysis, reliability analysis, correlation analysis, regression analysis. First, in emotional labor which ski resort worker perceived, surface acting had a positive effect on job burnout, while deep acting had a negative effect on it. Second, surface acting had a positive effect on tangibles and responsiveness of service level and deep acting had a positive effect on tangibles, responsiveness and endeavor of service level. Third, job burnout which ski resort worker perceived had a negative effect on tangibles, responsiveness and endeavor of service level. This study suggested that implications and limitations of the relationship between outcomes and emotional labor which people working at sport organizations such as a ski resort have experienced.

• The Journal of the Korea Contents Association
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• v.8 no.8
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• pp.196-205
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• 2008

The purpose of this study was to examine the relationship of participation in jazz dance to body image and mental health in an attempt to make a contribution to the spread of jazz dance. The subjects in this study were 183 people who were selected by purposive sampling from a population of Seoul and Gyeonggi province residents who were at the Western age of 18 and up. The selected people took general education courses at colleges, attended cultural centers or fitness clubs, or learned dance for all. One instrument used in this study to assess their body image was Jourard and Secord(1954)'s Body Cathexis Scale, which was modified into six factors and 39 items. The other was Kim Gwang-il, et. al.(1978)'s 46-item inventory, which translated Rickles and Rock(l976)'s SCL-90 with 90 items to suit Korean circumstances. That inventory was modified into 31 items and four factors. For data handling, factor analysis, reliability analysis, regression analysis and path analysis were utilized. The findings of the study were as follows: 1. The extent of jazz dance participation had an impact on their body image. Those who performed jazz dance more frequency had a better image about their health and the lower part of the body. 2. The level of jazz dance participation exerted an influence on their mental health. A longer participation term led to more interpersonal sensitivity, and a higher participation frequency was followed by more somatization. 3. Concerning the causal relationship of participation in jazz dance to body image and mental health, the participation frequency affected health, the image of the lower part of the body and somatization in the firsthand manner, and the image of the lower part of the body had a firsthand impact on interpersonal sensitivity, hostility, anxiety and depression. Accordingly, the image of the lower part of the body played a crucial role as a parameter in the relationship between the jazz dance participation frequency and mental health.

• Korean Journal of Construction Engineering and Management
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• v.9 no.5
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• pp.168-175
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• 2008

Project risk factors are major triggers in cost performance in construction projects. Both owners and contractors are highly concerned in managing their risks in earlier times. As such, it is needed to provide a robust risk evaluation methodology in identifying and assessing the potential risks before project execution. In previous research, risk identification was conducted only in specific phases, i. e., design, procurement, construction. Therefore, the comprehensive approach in risk management was limited and their quantifying method was not well-defined. Since the benefit of planning in earlier times are maximized compared to later times, the risk management should be implemented in earlier planning stage. This study provide a new risk evaluation method by incorporating previous research and extensive literature review. By quantifying each risk factor from an extensive industry survey, the proposed tool can enhance the reliability of each factor weight and also the weights are categorized from a various perspectives, i.e., owners, contractors, lager-scale company, smaller-scale company, building projects. The proposed tool can be also useful in deciding on whether to proceed a particular project and How much the project contingency would be set aside in project execution. The study findings can also expedite the risk management procedure in a more systematic approach.