• Journal of Digital Convergence
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• v.18 no.5
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• pp.127-138
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• 2020

This study investigated the patterns of transition of consumption patterns in Korean households in 2010 and 2017, and the impact of the life cycle on the transition of consumption patterns between the two time points. Using information on 4,717 households from the 2010 and 2017 data of the Korean Labor Panel Survey, we examined the effect of the family life cycle on changes in consumption patterns. The results of the latent transition analysis on the change in consumption type showed that the change in consumption type between the two points of time at the household level was relatively active. The logistic regression models reported that the transition of consumption type varies depending on the life cycle, such as changes in marital status, birth and independence of children. These results provide the implication that it is necessary to consider from the perspective of the family life course how the transition between their consumption types occurs when the government establishes consumption policies and companies set marketing target groups.

• The Journal of the Convergence on Culture Technology
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• v.9 no.6
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• pp.581-587
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• 2023

The purpose of this study was to analyze the change trajectory and latent class types of self-esteem in first to fourth grade elementary school students. For the purpose, the Korean Children's Panel data were analyzed using potential growth model and the growth mixture model. As the results, the linear change model was selected as the most appropriate model. The change trajectory was found to increase slightly as the grade increased. In addition, four latent class groups were derived through: 'high level-maintenance,' 'low level-increase,' 'high level-decrease,' and 'low level-maintenance.' Most children were in the 'high level-maintenance' group, followed by 'high level-decrease,' 'low level-increase,' and 'low level-maintenance' groups. Therefore, based on the results of the study, we suggest that educational institutions and local communities pay attention to trends in elementary school students' self-esteem and provide appropriate support for students in each class.

• The Journal of the Korea Contents Association
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• v.20 no.9
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• pp.365-379
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• 2020

The purpose of this study identifies the patterns of students' learning motivation profiles on entrepreneurial educational motivation among a sample of university students from one of the Korean national university(n=614). This study also examines the relationship between students' learning motivation profiles and entrepreneurial intention and types of entrepreneurship. In order to explore the types of leaning motivation profiles, a latent profile analysis was employed. Result from LPA revealed five distinct types of learning motivation profiles fit the data best, and these five profiles are compared with students' entrepreneurial intentions and types of entrepreneurship. Results showed that Profiles (profile 5 and 4-high goal orientation) are associated with the higher level of entrepreneurial intention. Regarding the type of entrepreneurship, the majority of all students are interested in individual and co-entrepreneurship with friend regardless of the patterns of profiles.

• The Journal of the Korea Contents Association
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• v.22 no.8
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• pp.482-491
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• 2022

The purpose of this study was to classify latent profiles based on satisfaction of student by the campus-life&educational-experiences and to identify factors affecting satisfaction according to each type. For this study, data from the survey of the A univ(1,952 data) were used. To analyze this, a latent profiles analysis was applied to identify subgroups, in which the students by the campus-life&educational-experiences satisfaction, and a multinomial logistic regression model was applied to verify factors affecting group classification. As a result of the analysis, first four groups were classified in the order of 'average·class·highest·relationship satisfaction type'. Second the factors affecting the classification into the remaining three types with 'the average satisfaction type' as a reference group were found to be significant influencing factors(gender, grade, admission process, GPA grade). Based on these results, this study suggested implications for planning and promoting student-tailored education and student support policies at the university level.

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

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.01a
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• pp.177-179
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• 2023

본 연구에서는 사회복지시설 종사사의 직무만족도 유형을 살펴보고 유형별 예측변인과의 영향관계를 검증하였다. 이러한 연구목적을 검증하기 위해 보건복지부의 '사회복지시설 실태조사'(2014년) 데이터에서 직무만족도 변인에 모두 응답한 11,660명을 최종 분석하였다. 잠재프로파일 분석결과, 사회복지사의 직무만족도 유형은 4집단으로 나타나 '최상 직무만족도집단', '중상 직무만족도집단', '중간 직무만족도집단', '최하 직무만족도집단'으로 명명하였다. 다항로지스틱 분석결과, CLASS4(최상 직무만족도집단)를 준거집단으로 하여 CLASS1(최하 직무만족도집단)과 비교해 노동강도대비 보수수준 평가, 타직종대비 보수수준 평가, 시설안전도, 인권보장도를 높게 인식할수록 CLASS4(최상 직무만족도집단)에 속할 확률이 높아지는 것으로 나타났다. 다만, 이직의사는 낮을수록 CLASS4(최상 직무만족도집단)에 속할 확률이 높아지는 것으로 나타났다. CLASS4를 준거집단으로 하여 CLASS2집단, CLASS3집단도 비교분석 하였다.

• Journal of the Korea Convergence Society
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• v.10 no.8
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• pp.283-289
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• 2019

The purpose of this study was to classify the elementary school students to latent groups according to the type of mobile phone usage and to verify the relationship with mobile phone dependency. The latent profile analysis was conducted using the first grade panel data of the elementary school in the Korea Children 's Youth Panel in 2016. The results found 3 latent classes of mobile phone usage: family and friend concentration (Type1), family concentration low level (Type2) and essential (Type3). The results of multiple regression analysis for verifying the relationship between mobile phone use type and mobile phone dependency showed a significant effect. The Type 2 showed more dependency than the Type 1, and the Type 1 showed more dependency than the Type 3. These findings provided basis for the guideline of mobile phones use and for proper intervention to prevent mobile phone dependency for elementary school students.

• Journal of the Korea Convergence Society
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• v.10 no.1
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• pp.291-298
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• 2019

This study aimed to examine disabled women to determine whether differences existed in parenting stress, resilience, social support, and parenting competency based on the disability type using an latent means analysis. The research data was sampled from 167 mentally disabled women and 132 physically disabled women. Parenting stress and social support had higher latent means in the mentally disabled women. Parenting competence and resilience had higher latent means in the physically disabled women. The results of this study suggested that differentiated, practical intervention approaches should be implemented for each disability type.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.16 no.1
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• pp.37-53
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• 2021

The purpose of this study is to analyze the types of latent profiles depending on the job satisfaction of youth entrepreneurs in South Korea and examine the influence of related variables. Latent profile analysis (LPA) was conducted using data from the 12th year of the Youth Panel Study. Results of the study revealed that there were five latent profiles based on job satisfaction among young entrepreneurs: lowest job satisfaction, mid-low job satisfaction, middle job satisfaction, mid-high job satisfaction, and highest job satisfaction. By applying multinomial logistic analysis, the influencing factors for each latent profiles have been derived. Gender, marital status, subjective health, self-esteem, entrepreneurial motivation, difficulty in start-up, person-job fit, intrinsic or extrinsic job values, business scale, income, work hour, education or training, and labor insurance were significant predictors of youth entrepreneurs' job satisfaction. Based on these results, the article discusses practical implications that can enhance the job satisfaction of young entrepreneurs.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.43 no.1
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• pp.91-98
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• 2023

Since risks occurring in construction projects can have a significant impact on schedules and costs, there have been many studies on this topic. However, risk analysis is often limited to only certain construction situations,and experience-dependent decision-making is therefore mainly performed. Data-based analyses have only been partially applied to safety and contract documents. Therefore, in this study, cluster analysis and a Word2Vec algorithm were applied to formal documents that contain important elements for contractors or clients. An initial classification of document content into six types was performed through cluster analysis, and 157 occurrence types were subdivided through application of the Word2Vec algorithm. The derived terms were re-classified into five categories and reviewed as to whether the terms could develop into potential construction risk factors. Identifying potential construction risk factors will be helpful as basic data for process management in the construction industry.