• The Journal of the Korea Contents Association
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• v.16 no.8
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• pp.743-755
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• 2016

The objectives of this research is to examine: 1) how the rates of adolescents' BMI change over time in terms of the state level; and 2) development difference in the state level of BMI in terms of children's obesogenic behaviors from 1999 to 2011. Data were drawn from the 1999-2011 Youth Risk Behavior Survey in the United States (N=260, 293, grades 9-12, and 27 states). Ordinary least squares regression and hierarchical linear modeling were utilized to capture a longitudinal time effect of school-aged adolescents' obesity rates across the states, controlling for demographics and nutrition- and physical activity-related behaviors. The state's level of children's BMI percentile was significantly associated with longitudinal time. Longitudinal time effect across the states appears to play an important factor associated with children's decrease of BMI percentile. Therefore the states' implementation of physical activity and nutritional policies seems to be effective for preventing and reducing childhood obesity during last decade. More attention should focus on enforcing the policy and overcoming current barriers in order to minimize children's obesogenic factor.

• Education of Primary School Mathematics
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• v.23 no.4
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• pp.207-227
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• 2020

The demand for private education in Korea is steadily increasing every year, and the participation rate of private education is increasing as the grade goes down. In order to empirically verify the effectiveness of private education, it is necessary to analyze through longitudinal data that has been mainly investigated over a long period of time. This study investigated the longitudinal changes in mathematics academic achievement and participation time in mathematics private education using longitudinal data from 2013 (4th grade in elementary school) to 2017 (2nd grade in middle school) of the Seoul Education Longitudinal Study. The students were divided into groups in which mathematics academic achievement changed similarly as the grade went up, and the effect of mathematics academic achievement was examined according to the change of participation time in private mathematics education for each group. As a result of the study, it was found that the participation time of private math education of all students continuously increased from the 5th grade of elementary school to the 2nd grade of middle school, and the participation time of private math education by group was different. In addition, the effect of private tutoring by group was different according to the group.

• Communications of Mathematical Education
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• v.34 no.3
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• pp.325-354
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• 2020

This study utilized longitudinal data from the 2013 year (Secondary Middle School) to 2017 year (Secondary High School) of the Seoul Education Termination Study. Using the latent growth model and the piecewise growth model, we investigated the changes in mathematics academic achievement, internal factors(self-concept, self-control, self-assessment of life satisfaction), and external factors(school climate, guardians) as students' grades increased, and examined whether internal factors and external factors influence the changes in mathematics academic achievement. We examined whether internal and external factors influence the change in academic achievement. As a result of analysis, it was found that mathematics academic achievement remained unchanged from the first grade of middle school to the second grade of middle school, and steadily increased from the second grade of middle school to the first grade of high school, and then decreased slightly in the second grade of high school. The internal and external factors had little change. It has been found that self-concept, self-control as internal factors, and school climate as external factors influence changes in mathematics academic achievement.

• Journal of the Korean Society for Library and Information Science
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• v.52 no.4
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• pp.179-194
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• 2018

The purpose of this study is to discuss the application of the Latent Growth Model to measure the outcomes of public library. For outcome measurements, library circulation data were collected to identify longitudinal changes of library users' reading habit. The latent growth model was applied to statistically test the changes over time. The circulation data of 95,962 users registered in some public libraries in Seoul, ranged between 2010 and 2015, were analyzed using unconditional model, conditional model, and growth mixture model which all are called the latent growth model. The results show that the intercept of the model is 4.19 and the slop is 0.24 in the linear growth model. The gender difference in two latent variables including intercept and slop was a shade difference. The result from the growth mixture model analysis, additionally indicates that the number of books checked out by children under age 10 is rapidly increased. The application of the latent growth model in library fields is expected to widely spread out for the longitudinal data analysis.

• Journal of Digital Convergence
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• v.18 no.6
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• pp.65-79
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• 2020

With the rapid development of China's economy, the aviation industry, as an important part of transportation services, has undoubtedly achieved rapid development. However, there is hardly any academic work that was based on the development of the top airlines in the Chinese airline industry. Hence, this study provides empirical research that takes into account the longitudinal development of the top 20 airlines in China from 2009 to 2018. The throughput volumes (cargo and passenger) of the airlines were analyzed by concentration indicators, namely the concentration ratio (CR), the Herfindahl- Hirschman index (HHI), the Gini coefficient, and the shift-share analysis (SSA). In this paper, the top 20 airlines have been analyzed in terms of the passenger and cargo throughput from 2009 to 2018. The calculation results of CR6, HHI and the Gini coefficient show that the airlines were extremely deconcentrated. In addition, by comparing the ABSGR of passenger and cargo throughput, it is shown that China's aviation industry is dominated by four airlines- Air China, China Eastern Airlines, China Southern Airlines and Hainan Airlines. In the future study, it is necessary to explore growth strategies to find niche markets for passenger and cargo transportation.

• Survey Research
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• v.10 no.3
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• pp.37-58
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• 2009

The purpose of this study were to identify the subgroups (i.e., latent classes) depending on early adolescents' change patterns in aggression and to test the effects of individual-background variables on determining the latent classes. For these goals, we applied Nagin's(1999) semi-parametric group-based approach to the Korean Youth Panel Study. Results showed that four latent classes were identified, which could be defined based on the patterns as low-level group, increasing group, intermediate-level group, and high-level group. By adding gender, self-control, parent attachment, teacher attachment, and the number of delinquent friends to the unconditional latent class model, we tested the effects of the variables on the latent classes. Multinomial logit analysis showed that gender, self-control, teacher attachment, and the number of delinquent friends were significant determinants of the latent classes. Findings from this study suggest the need to consider heterogeneity in the study of early adolescents' aggression to facilitate more refined targeting of intervention program.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.4
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• pp.167-174
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• 2021

This study examined the influences of participation in the free semester on school life satisfaction and interest in classes and whether the effect persisted longitudinally. The participants were students from middle schools located in large cities: 451 students in the experimental group and 466 students in the control group. Only the students of the experimental group participated in the free semester. The data were collected at the end of the free semester for three years, and the results are as follows. First, the school life satisfaction of students in the experimental group was significantly higher than those in the control group until the second year but not in the third year. Second, there was no difference in interest in the main subject classes between the experimental and control groups until the third year. Third, students' interest in art and sports classes in the experimental group was significantly higher than those in the control group until the second year but not in the third year. These findings suggest that long-term planning and management of the institution rather than short-term introduction is required for the continuous effects of the free semester.

• Journal of the Korea Convergence Society
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• v.10 no.10
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• pp.357-369
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• 2019

This study was to examine the effects of simulation used additionally in clinical practicum and evaluate its applicability in an undergraduate nursing curriculum. A longitudinal survey was used to measure the changes on the scores of clinical competency, clinical confidence, critical thinking and problem solving ability of students(N=77) who had experienced simulation in the clinical practicum curricula throughout their junior and senior years. Variables were measured 4 times, at the beginning and the end of each year, and data were analyzed using repeated measures of ANOVAs. Clinical competency score in senior year improved significantly(t=-13.75, p<.001) whereas no significant changes in junior year. Clinical confidence and critical thinking disposition over 2 years showed significant increases(F=177.86, p<.001; F=247.79, p<.001, respectively). Problem solving ability increased throughout the junior and senior years, however, it did not make a significant difference at any point of measures.

• Communications of Mathematical Education
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• v.35 no.1
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• pp.1-14
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• 2021

Mathematics anxiety is a term for emotional and physical resistance to mathematics. Understanding students' mathematics anxiety is important not only in terms of improving mathematics academic achievement, but also in nurturing mathematics manpower necessary for the future society. In particular, mathematics anxiety is most likely to occur in elementary school, and it has a negative effect on subsequent learning. Therefore, it is important to understand the aspects of students' mathematics anxiety in elementary school. In this study, I presented the patterns of changes in students' mathematics anxiety over time and statistically verified them. As a result of a follow-up survey of 249 elementary school students' mathematics anxiety for 3 years from 4th to 6th grade, it was found that, rather than having a special pattern related to the formation of math anxiety, it may increase and decrease and vary depending on individual confirmed. Later, in this study, five patterns of Mathematics anxiety patterns were identified through statistical analysis. In addition, I confirmed that the students' interest about teachers' mathematics lessons was consistently influencing the change in mathematics anxiety. The results of this study will increase students' understanding of the formation of mathematics anxiety and can be used as basic data for the development of teaching and learning materials related to mathematics anxiety in the future and subsequent research.

• Journal of Digital Convergence
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• v.16 no.6
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• pp.85-93
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• 2018

The Latent Growth Modeling(LGM) is known as the arising analysis method of longitudinal data and it could be classified into unconditional model and conditional model. Unconditional model requires estimated value of intercept and slope to complete a model of fitness. However, the existing LGM is in absence of a structured methodology to estimate slope when longitudinal data is neither simple linear function nor the pre-defined function. This study used Sequential Pattern of Association Rule Mining to calculate slope of unconditional model. The applied dataset is 'the Youth Panel 2001-2006' from Korea Employment Information Service. The proposed methodology was able to identify increasing fitness of the model comparing to the existing simple linear function and visualizing process of slope estimation.