• The Journal of the Korea Contents Association
• /
• v.16 no.1
• /
• pp.1-12
• /
• 2016

The purpose of this study was to identify latent classes of socioeconomic status and to explore whether those of socioeconomic status influenced self-esteem among elderly living alone. From the data of 2009 National Elder Abuse Investigation, 1,333 older adults who were over 65 years and living alone were analyzed. Latent class analysis, one-way ANOVA, and hierarchical regression analysis were performed to test the purpose of this study. Results of this study found 5 latent classes of socioeconomic status, named as high education-low income group, low education-low income group, middle education-low income group, high education-high income group, and low education-high income group. Next, there were significant differences in self-esteem depending on 5 latent classes of socioeconomic status. Finally, compared to low education-low income group, high education-low income group, middle education-low income group, high education-high income group, and low education-high income group showed higher levels of self-esteem, even after adjusting for confounding factors. Findings from this study suggested fundamental characteristics and public policy for elderly living alone.

• Korean Journal of Environment and Ecology
• /
• v.21 no.2
• /
• pp.134-140
• /
• 2007

The purpose of this study is to investigate the landscape image and visual preference for ridges of the Seongpanak district at Mt. Hallasan. For this, the evaluation of the artificial and natural landscape is compared through the medium of color slides. Data is analyzed through the descriptive statistics and spatial image is analyzed by factor analysis algorithm. Principle component analysis and Varimax Method are applied to extraction and factor rotation respectively. The results of this study can be summarized as follows : General visual imagesthe Seongpanak district at Mt. Hallasan are clean, beautiful and attractive. The degree of visual preference increased commensurately with the lower rate of artificial factors. Landscape Factors covering the spatial image are found to be 'aesthetic value', 'spatial scale', 'natural quality', and 'topography' factor, which account for 57.6% of the total variants. The aesthetic value variable is the most important factor in visual preference and the unnatural factors are found to present negative elements with visual preference.

• Journal of Digital Convergence
• /
• v.15 no.12
• /
• pp.517-529
• /
• 2017

The purpose of this study is to develop and evaluate the scale for university students' health behaviors. This research is based on Roger's(1975) Protection Motivation Theory and Weinstein(1988)'s Precaution Adoption Process Model as theoretical frameworks. The contents of the scale were first abstracted from personal depth interviews of qualitative study on university students' health behavior experiences and review of its related literature. The initial items consisted of 76 behavior questions and 34 perception questions. After conducting the preliminary test, 33 behavior questions and 24 perception questions were selected for the final test by revisions on the basis of the result of the content validity test and the item understanding test. The questionnaires for the final test were distributed to 400 students enrolled in three universities. The questionnaires collected from 373 participants were analyzed by the SPSS program. From the examination of construct validity, item correlation, and factor relation turned out to be relevant. Five factors were determined from 27 items with a cumulative explained variance of 54.498 %. After examining reliability and validity of the collected dat, 27 items were finalized as the scale for university students' health behaviors.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2010.05a
• /
• pp.1429-1433
• /
• 2010

수공구조물의 설계, 수자원 관리계획의 수립, 재해영향 검토 등을 수행할 때, 재현기간에 따른 확률개념의 강우량, 홍수량, 저수량 등을 산정하여 사용하게 되며, 보통 대상지역의 장기 수문관측 자료를 이용하여 수문사상의 확률분포를 산정한 후 재현기간을 연장하여 원하는 설계빈도에 해당하는 양을 추정하게 된다. 미계측지역 또는 관측자료의 보유기간이 짧은 지역의 경우는 지역빈도 분석 결과를 이용하게 된다. 지역빈도해석을 위해서는 강우자료들의 동질성을 파악하는 것이 가장 기본적인 과정이 되며 이를 위해 통계학적인 범주화분석이 선행되어야 한다. 지점 빈도분석의 수문학적 동질성 판별을 위해 L-moment 방법, K-means 방법에 의한 군집분석 등이 주로 사용되며 관측소 위치좌표를 이용한 공간보간법을 적용하여 시각화하고 있다. 강수량은 시공간적으로 변하는 수문변량으로서 강수량의 시간적인 특성 또한 강수량의 특성을 정의하는데 매우 중요한 요소이다. 이러한 점에서 본 연구를 통해 강수지점의 공간적인 좌표 및 강수량의 양적인 범주화에 초점을 맞춘 기존 지역빈도분석의 범주화 과정에 덧붙여 시간적인 영향을 고려할 수 있는 요소들을 결정하고 이를 활용할 수 있는 범주화 과정을 제시하고자 한다. 즉, 극치강수량의 발생 시기에 대한 정량적인 분석이 가능한 순환통계기법을 이용하여 관측 지점별 시간 통계량을 산정하고, 이를 극치강수량과 결합하여 시 공간적인 특성자료를 생성한 후 이를 이용한 군집화 해석 모형을 개발하는데 연구의 목적이 있다. 분석 과정에 있어서 시간속성의 정량화 및 일반화는 순환통계기법을 사용하였으며, 극치강수량과 발생시점의 속성자료는 각각의 평균과 표준편차를 이용하였다. K-means 알고리즘을 이용해 결합자료를 군집화 하고, L-moment 방법으로 지역화 결과에 대한 검증을 수행하였다. 속성 결합 자료의 군집화 효과는 모의데이터 실험을 통해 확인하였으며, 우리 나라의 58개 기상관측소 자료를 이용하여 분석을 수행하였다. 예비해석 단계에서 100회의 군집분석을 통해 평균적인 centroid를 산정하고, 해당 값을 본 해석의 초기 centroid로 지정하여, 변동적인 클러스터링 경향을 안정화시켜 해석이 반복됨에 따라 군집화 결과가 달라지는 오류를 방지하였다. 또한 K-means 방법으로 계산된 군집별 공간거리 합의 크기에 따라 군집번호를 부여함으로써 군집의 번호순서대로 물리적인 연관성이 인접하도록 설정하였으며, 군집간의 경계선을 추출할 때 발생할 수 있는 오류를 방지하였다. 지역빈도분석 결과는 3차원 Spline 기법으로 도시하였다.

• Journal of Embryo Transfer
• /
• v.18 no.3
• /
• pp.215-225
• /
• 2003

This study was carried out to investigate the change of blood compositions by age in Hanwoo, and a total of 866 of Hanwoo, which consisted with 638 of steer and 228 of bulls, were used to measure serum concentrations. A multiple regression equation was estimated with collection age and blood composition as independent and dependent variables, respectively. Complicated regression equations for blood compositions in steer and bulls were IGF-I(cubic), calcium (linear), and IP(linear). Linear and cubic equations were fitted to testosterone in steer and creatinine in bulls, respectively. A cubic equation in steer and linear equation in bulls were fitted to HDLC. Equations of quadratic in steer and cubic in bulls were fitted to concentration of triglyceride, globulin, and A/G ratio. BUN was fitted by equations of cubic in steer and quadratic in bulls. TP and albumin were fitted by equations of quadratic in steer and linear in bulls. A cubic regression equation did not explain the change of cortisol by age in steer and bulls. A cubic regression equation did explain the change of glucose by age in steer, but not in bulls. Higher R-square values (R-SQUARE>0.1) were estimated to IGF-1, albumin, creatinine, Inorganic phosphorous(IP) and HDLC in steer, and testosterone, IGF-I, TP, albumin, glucose, creatinine, IP, and HDLC in bulls for the fitted regression equations of blood compositions. Therefore, IGF-I, albumin, creatinine, IP, and HDLC were regarded as comparatively large variation by age in steer and bulls.

• Korean Journal of Social Welfare Studies
• /
• v.44 no.1
• /
• pp.135-164
• /
• 2013

The purpose of this research is to examine the effects of family social capital and community social capital on how successfully children adapt to school. Utilizing the second year data from the 1st year of middle school panel found in the 2010 Korea Children and Youth Panel Survey, descriptive statistical analysis, correlation analysis, and hierarchical linear model analysis were conducted successively on 2,056 second-year middle school students living in 93 communities. The data produced was used to determine what degree of influence family social capital and community social capital exert on the ability of children to successfully adapt to school. First, 6.1% of the variables relating to school adaptation were explained by differences among communities, and the remaining 93.3% were explained by differences among individuals. Second, the examination of the effects of family social capital showed that students who experienced lower rates of neglect also experienced less abuse, had parents who were more interested in and better informed about their lives, and better adapted to school. Third, the examination of the effects of community social capital showed that the higher the community spirit the communities had, the better the young students in the communities adapted to school. Fourth, when the effects of family social capital and community social capital were examined in conjunction with each other, it was found that the less neglect the students experienced, the less abuse the students experienced, the greater the interest their parents had in their close friends, the better they themselves adapted to school. In relation to community social capital, the level of community spirit was still found to exert positive effects on the ability of young students to successfully adapt to school.

• Journal of Convergence for Information Technology
• /
• v.11 no.11
• /
• pp.178-184
• /
• 2021

This study was conducted to empirically verify the factors that affect work-life balance according to the age of social workers. The subjects of the study were social workers working at social welfare centers, welfare centers for the disabled, and welfare centers for the elderly located in Jeollabuk-do, and 313 copies of 42 facilities that participated in the survey were used for the final analysis. The research method used a multi-level model that calculated individual factors (Level 1) and institutional factors (Level 2). The main research results are as follows. First, 20.2% of the total variance in the work-life balance of social workers was found to be different for each local welfare center. Second, as a result of examining the factors affecting work-life balance of social workers by age, it was found that job demands had a negative effect on work-life balance in all age groups. In particular, in their 30s, family demands and women's work-life balance were more negative than men's, and economic status was found to be an important influencing factor on work-life balance. Based on these results, we discussed ways to improve work-life balance for social workers.

• Korean Journal of Culture and Social Issue
• /
• v.22 no.2
• /
• pp.263-283
• /
• 2016

The present study aimed at examining the factor structure, reliability and validity of the Korean version of the Continuing Bonds Scale (K-CBS). In study 1, exploratory factor analysis was administered to 293 bereaved adults who had experienced the death of a loved one, and it revealed a single factor structure with 10 items that explained 52.59% of the total variance. The K-CBS showed good internal consistency with Cronbach's alpha of .92. In study 2, confirmatory factor analysis in a different sample of 200 bereaved adults indicated satisfactory standardized regression weights of all items. However, one item had a squared multiple correlation less than .40, hence, this item was discarded, and 9 items remained for the final scale. The single factor model with 9 items displayed a good fit. The K-CBS had strong positive correlation with grief symptoms, and weak positive correlation with depression. After controlling for grief, however, the K-CBS was predictive of a decrease in depression. The K-CBS was positively associated with posttraumatic growth. In addition, significant differences in scores of the K-CBS were shown among groups based on the deceased's relation to the bereaved and expectedness of loss. These results suggest that the K-CBS is a reliable and valid instrument to measure continuing bonds. Finally, implications, limitations, and directions for future research were discussed.

• Korean Journal of Remote Sensing
• /
• v.39 no.5_1
• /
• pp.537-549
• /
• 2023

The distribution characteristics of tidal flat sediment components are used as an essential data for coastal environment analysis and environmental impact assessment. Therefore, a reliable classification map of surface sedimentary facies is essential. This study evaluated the applicability of regression kriging to generate a classification map of the sedimentary facies of tidal flats. For this aim, various factors such as the number of field survey data and remote sensing-based auxiliary data, the effect of regression models on regression kriging, and the comparison with other prediction methods (univariate kriging and regression analysis) on surface sedimentary facies classification were investigated. To evaluate the applicability of regression kriging, a case study using unmanned aerial vehicle (UAV) data was conducted on the Hwang-do tidal flat located at Anmyeon-do, Taean-gun, Korea. As a result of the case study, it was most important to secure an appropriate amount of field survey data and to use topographic elevation and channel density as auxiliary data to produce a reliable tidal flat surface sediment facies classification map. In addition, regression kriging, which can consider detailed characteristics of the sediment distributions using ultra-high resolution UAV data, had the best prediction performance compared to other prediction methods. It is expected that this result can be used as a guideline to produce the tidal flat surface sedimentary facies classification map.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.28 no.12 s.138
• /
• pp.1583-1595
• /
• 2004

Simon and Sullivan(l993) estimated that clothing and textile related brand equity had the highest magnitude comparing any other industry category. It reflects that fashion brands reinforce the symbolic, social values and emotional characteristics being different from generic brands. Recently, Kim and Lim(2002) developed a fashion brand equity scale to measure a brand's psychometric properties. However, they suggested that additional psychometric tests were needed to compare the relative magnitude of each brand's equity. The purpose of this study was to recognize the psychometric constructs of fashion brand equity and validate Kim and Lim's fashion brand equity scale using the measurement invariance test of cross-group comparison. First, we identified the constructs of fashion brand equity using confirmatory factor analysis through structural equation modeling. Second, we compared the relative magnitude of two brands' equity using the measurement invariance test of multi-group simultaneous factor analysis. Data were collected at six major universities in Seoul, Korea. There were 696 usable surveys for data analysis. The results showed that fashion brand equity was comprised of 16 items representing six dimensions: customer-brand resonance, customer feeling, customer judgment, brand imagery, brand performance and brand awareness. Also, we could support the measurement invariance of two brands' equities by configural and metric invariance tests. There were significant differences in five constructs' mean values. The greatest difference was in customer feeling; the smallest, in customer judgment.