• KSLA Bulletin
• /
• 통권2호
• /
• pp.16-27
• /
• 2010

최근 논문의 가치평가가 크게 강조되고 있으며, 그 평가의 수단으로 논문의 피인용횟수가 매우 유용한 척도 중의 하나로 받아들여지고 있다. 그에 따라 이 연구에서는 논문의 피인용횟수와 이에 영향을 미칠만한 형태적 및 개념적 요인의 11개 변수들 간의 상관관계를 문헌정보학분야 11종의 학술지 논문을 대상으로 분석하였다. 분석결과, 논문의 피인용횟수와 일정 수준 이상의 상관관계 즉 5% 이상의 설명력을 갖는 변수는 문헌간유사도 뿐인 것으로 나타났으며, 문헌간유사도가 높아질수록 논문 상호 간에 피인용횟수에 대한 상관관계도 증가하는 것으로 나타났다.

• 대한가정학회지
• /
• 제49권2호
• /
• pp.63-74
• /
• 2011

Tension and self-control are explanatory factors in adolescent delinquency, and internet addiction and anonymity are regarded as factors underlying cyber deviation. The aim of this study was to investigate the interrelationships between these factors and cyber deviation. Participants were 485 middle and high school students in the Jeonbuk region. The results showed that tension and self-control were predictors of cyber deviation and that internet addiction was a mediating variable for both the predictors. Anonymity was found to have a mediating role, but only in respect of the tension-cyber deviation pathway. These findings suggested a number of implications. Firstly, the educational programs on cyber deviation should be different from the existing deviation prevention programs. Secondly, measures to prevent internet addiction are needed for the effective prevention of cyber deviation. Lastly, the finding of a relationship between anonymity and cyber deviation indicates the need to adopt a long-term perspective drawing on values education techniques to develop a code of cyber space ethics for "netizens".

• 한국지역지리학회지
• /
• 제15권6호
• /
• pp.689-706
• /
• 2009

주택입지에 영향을 미치는 공간변수의 우선순위를 평가하는 과정은 일부 전문가의 경험과 직관에 의존해 온 것이 사실이다. 산간 분지에서 주택(134채)의 밀도와 태양광도 관련 공간변수의 상관성을 파악하기 위해 다중공간 회귀분석 기법이 활용되었다. 전통적인 이론에서 주택 입지를 설명하는 전형적인 변수인 고도, 경사, 도로에 대한 접근성 등은 주택밀도에 대한 영향력에서 주요 변수로서 역할을 하지 못하였다 동지의 일사량과 일조시간이 산간분지에서 주택밀도를 설명할 수 있는 결정적인 변수였다. 산간분지에서 주택 입지가 전통적인 이론에서 제시하는 고도, 경사 등 이상적인 지형특성보다는 그림자로 인한 음지를 피하는 것을 최우선 순위로 고려하는 것이 확인되었다.

• 산경연구논집
• /
• 제9권1호
• /
• pp.25-38
• /
• 2018

Purpose - The purpose of this study is to empirically investigate the impact of donor's fiscal status on aid decisions before and after the 2008 global financial crisis. The effects on aid can change depending on the donor country's fiscal status and the period of financial crisis. Research design, data, and methodology - A fixed effect regression and dynamic panel GMM is conducted using a comprehensive dataset combining 31 donor and 167 recipient countries during 1996-2015. The key explanatory variable is central government debt-to-GDP ratio of donor country. Recipient countries' GNI per capita, population, governance indicators, and bilateral trade-to-GDP ratio between donor and recipient countries are included as control variables. Results - We can confirm the relationship between donor country's fiscal status and aid flow. The cyclical component of government debt is found to have a negative impact on grant decisions particularly after the 2008 global financial crisis. This effect becomes larger in the countries with high government debt-to-GDP ratio. ODA decisions from the countries with low financial constraint do not significantly affected by the recipient countries' factors such as GNI, population, and governance indicator. Conclusions - Based on the empirical results of this study, the source of aid should be diversified by incorporating private sector and innovative financing sources.

• 한국임상보건과학회지
• /
• 제9권2호
• /
• pp.1511-1519
• /
• 2021

Purpose: This study is a research study to investigate the effects of multicultural experience, perception, and multicultural efficacy on nursing students' multicultural acceptance. Method: The relationship between variables was analyzed using SPSS/WIN 25 program by Pearson's correlation coefficient, and the effect of multicultural experience and perception and multicultural efficacy on multicultural acceptance was analyzed by multiple regression analysis. Results: TVariables affecting multicultural acceptance were multicultural awareness (β=0.30, p<001) and multicultural efficacy (β=0.49, p<.001), and multicultural efficacy had a significant effect on multicultural acceptance. In the results of the regression model, among the variables of multicultural awareness and multicultural efficacy, the multicultural efficacy variable had a greater effect on multicultural acceptance, and both variables had a positive effect on multicultural acceptance. The explanatory power of the regression model for multicultural acceptance was 57.5% (F=59.33, p<.001). Conclusion: Factors affecting multicultural acceptance of nursing students are multicultural awareness and efficacy. Support should be provided to provide opportunities to broaden acceptance.

• Communications for Statistical Applications and Methods
• /
• 제26권3호
• /
• pp.325-336
• /
• 2019

In this article we extend the discrete Weibull regression model in the presence of missing data. Discrete Weibull regression models can be adapted to various type of dispersion data however, it is not widely used. Recently Yoo (Journal of the Korean Data and Information Science Society, 30, 11-22, 2019) adapted the discrete Weibull regression model using single imputation. We extend their studies by using multiple imputation also with several various settings and compare the results. The purpose of this study is to address the merit of using multiple imputation in the presence of missing data in discrete count data. We analyzed the seventh Korean National Health and Nutrition Examination Survey (KNHANES VII), from 2016 to assess the factors influencing the variable, 1 month hospital stay, and we compared the results using discrete Weibull regression model with those of Poisson, negative Binomial and zero-inflated Poisson regression models, which are widely used in count data analyses. The results showed that the discrete Weibull regression model using multiple imputation provided the best fit. We also performed simulation studies to show the accuracy of the discrete Weibull regression using multiple imputation given both under- and over-dispersed distribution, as well as varying missing rates and sample size. Sensitivity analysis showed the influence of mis-specification and the robustness of the discrete Weibull model. Using imputation with discrete Weibull regression to analyze discrete data will increase explanatory power and is widely applicable to various types of dispersion data with a unified model.

• Journal of the Korean Data Analysis Society
• /
• 제20권6호
• /
• pp.2759-2769
• /
• 2018

The behavioral finance view on the existence of asset pricing anomalies is based on two factors: investors' sentiment and limits to arbitrage. This paper tries to examine the effect of investors' sentiment on the stock price in the Korean stock market. In order to measure investors' sentiment, we constructed the sentiment index using principal component of five sentiment variables. By using sentiment index as an additional independent variable to three risk factors, impacts of the sentiment index on individual stocks and 25 portfolios sorted by BM-size are examined. Main results found are as follows: 1) not only all three risk factors show positive impacts on the return of individual stock, but also the sentiment index has a positive impact. SI alone explains 15% of individual return variation. 2) among four independent variables, the most important factor turned out to be the market risk factor and investors' sentiment has better explanatory power on stock price than the size effect. 3) after controlling the market risk factor, the coefficient of the sentiment index for the smallest size and highest book/market value portfolios is significantly positive. 4) all the coefficients of the sentiment index for 25 portfolios sorted by BM-size have significant positive value after controlling size or (and) value.

• The Journal of Asian Finance, Economics and Business
• /
• 제8권1호
• /
• pp.1009-1016
• /
• 2021

Productive human resources are important assets for companies in facing the global economic competition. The purpose of this study is to examine the effect of economic attitudes toward employees' job satisfaction as well as understanding the impact of economic attitudes toward employee productive behavior at "Sentra Tenun Ikat" in East Java. The research method applied in this study is quantitative research with an explanatory design, which is intended to gain a better understanding of the relationship between variables. The population in this study amounted to 394 participants from SMEs and joint business groups. Meanwhile, the sample was 197 people and collected using a proportional random sampling technique. The variable measurement was carried out by a questionnaire distributed to respondents, which consisted of thirty-five closed questions. Each question item provides five alternative answers. Furthermore, it is calculated using Structural Equation Modeling (SEM) undergoing the LISREL 8.80 program. The findings indicated that there was a positive influence of economic attitudes on employees' job satisfaction. Indeed, the positive value coefficient indicates that there is an effect that is directly proportional to economic attitudes toward employees' productive behavior through employee performance satisfaction, namely, the better the economic attitude taken, the higher the productive behavior of employees.

• The Journal of Asian Finance, Economics and Business
• /
• 제8권4호
• /
• pp.709-716
• /
• 2021

The main objective of this research is to find out the effect of Non-Performing Loan (NPL) of Nepalese conventional banks. The population of this study is major commercial banks in Nepal and the data obtained for this study was from the period 2015-2019. This research used secondary data and it is collected from each bank's annual report and GDP and Inflation taken from the World Bank database. The method used for data analysis in this study is multiple regression analysis. The study used NPL as a dependent variable and Return on Asset (ROA), Capital Adequacy Ratio (CAR), Bank Size, GDP growth, and Inflation as independent/explanatory variables. The result of this research shows that ROA, Bank Size, GDP, and Inflation have a significant effect on NPL but CAR does not have a significant effect on the NPL of banks. In other words, the GDP effect on NPL in this study shows a positive and significant effect while most studies show a negative effect. It demonstrates that when GDP growth increases, there is a significant increase in the growth of Nepalese banks even though there were no significant changes in income growth. Therefore, GDP growth has a positive and significant effect on the NPL of commercial banks. Thus, the bankers and policymakers need to consider GDP growth carefully while taking NPL-related decisions.

• The Journal of Asian Finance, Economics and Business
• /
• 제8권3호
• /
• pp.645-654
• /
• 2021

This research aims to examine the influence of road transportation infrastructure on the mobility of goods transport and the regional economy in Langkat Regency in Indonesia. This type of research is an associative and explanatory research whose data is obtained through a questionnaire survey. This study took a sample of 305 respondents using probability sampling in Langkat Regency, North Sumatera, Indonesia. Data analysis techniques use path analysis. The research results showed that the road transportation infrastructure variables had a significant and positive effect on the mobility of goods transport. Road transportation infrastructure and freight mobility simultaneously have a significant and positive effect on the economy of Langkat Regency. Road transportation infrastructure with the dimensions of road accessibility and maintenance partially directly has a significant and positive effect on the economy of the Langkat Regency. Road transportation infrastructure with the dimensions of road design and road construction quality partially does not have a direct effect on the regional economy, but has a positive and significant effect through the mobility of freight transport. The mobility of goods transport becomes an intervening variable that acts to mediate or determine the relationship between road transportation infrastructure variables to the regional economy.