• Journal of the Korean Data and Information Science Society
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• v.17 no.1
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• pp.123-130
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• 2006

This paper discusses about how to build up a mixed-effects model using cumulative logits when some factors are fixed and others are random. Location effects are considered as random effects by choosing them randomly from a population of locations. Estimation procedure for the unknown parameters in a suggested model is also discussed by an illustrated example.

• Journal of Environmental Impact Assessment
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• v.17 no.5
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• pp.299-309
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• 2008

Cumulative effects can be defined as impacts on environment which results from incremental impacts of a proposed project, which covers other past, present, and reasonably foreseeable future actions. The necessity of Cumulative Effect Assessment is that, when there are several projects near the project area, environmental effects of individual project can be larger or smaller than those of individual project without having projects nearby because of synergy, ascending and descending effects. This study was intended to help Environmental Impact Assessment practitioners identify spatial and temporal boundaries during the scoping stage. To do this, literature review of domestic and foreign legislations, guidelines, textbooks and papers related to Environmental Impact Assessment and Cumulative Effect Assessment was accomplished. This study suggests that continuous research be needed in order to identify spatial boundaries for other assessment fields and to develop methodologies for cumulative effect assessment.

• Economic Analysis
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• v.17 no.4
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• pp.30-51
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• 2011

Since the previous studies on the effects of trade liberalization implicitly assume that trade liberalization affects economic performance only in any point in time, they inevitably are static. Static evaluations fail to account for cumulative dynamic effects of trade liberalization that affect continuously economic performance. This paper tries to fill this gap of the previous studies in this field, estimating cumulative effects of trade liberalization on economic performance by employing an dynamic version of empirical model. One of important empirical issue is controlling bias from endogeneity. To resolve this problem, this paper employes system GMM that uses lagged first-differences as instruments for level equations and lagged levels as instruments for first-differences equations. It improves upon cross-section estimators because it controls for the potential bias induced by the omission of industry-specific effects and the endogeneity of all regressors. This study investigates the effects of trade liberalization in Korean manufacturing for the period from 1988 to 2005 and finds that cumulative dynamic effects of trade liberalization are present and bigger than static effects.

• Journal of Families and Better Life
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• v.22 no.2
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• pp.23-35
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• 2004

The purpose of this study is to evaluate child - care effects on young child's aggression in ecological context. For this, main effects, interaction effects and cumulative effects between child care experiences(quantity, quality, age of entry and stability) and maternal behavior as well as characteristics of child(sex, age and temperament) were examined. A total of 62 young children(34 boys and 28 girls) enrolled in child - care center were observed, and mothers and caregivers completed questionnaires. Data was analysed by three - way ANOVA, logistic regression and crosstabs. As result, first, main effects of quantity, rejective and regulative mothering on children's aggression were found. Second, there were significant interaction effects between both quality and quantity of day-care and rejective mothering. In particular, the interaction effects provided evidence that high - quality child - care served a compensatory function for extensive care and rejective mothering. Third, logistic regression analysis revealed risk factors for child's aggression and the effects of these risk factors were cumulative. Interaction effects of day-care quality and cumulative effects of day-care, characteristics of child and maternal behavior on child aggression were discussed.

• Communications for Statistical Applications and Methods
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• v.24 no.1
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• pp.81-96
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• 2017

Cumulative logit random effects models are typically used to analyze longitudinal ordinal data. The random effects covariance matrix is used in the models to demonstrate both subject-specific and time variations. The covariance matrix may also be homogeneous; however, the structure of the covariance matrix is assumed to be homoscedastic and restricted because the matrix is high-dimensional and should be positive definite. To satisfy these restrictions two Cholesky decomposition methods were proposed in linear (mixed) models for the random effects precision matrix and the random effects covariance matrix, respectively: modified Cholesky and moving average Cholesky decompositions. In this paper, we use these two methods to model the random effects precision matrix and the random effects covariance matrix in cumulative logit random effects models for longitudinal ordinal data. The methods are illustrated by a lung cancer data set.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.9 no.6
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• pp.107-116
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• 2006

Recently, it has been important not only to evaluate environmental effects but also to assess cumulative and comprehensive effects by the development projects. This paper concentrates on temporal and spatial cumulative impacts on Suji district in Yongin, Gyunggi-do. This paper adopted two methods to assess the cumulative impacts. First, it assesses the temporal change of forest patch size and land cover according to the patch size. Second, it compares housing development zones with the neighborhood. The result of the research appears that the damage is very serious, especially in small forest. The Forest area is changed to farm land, most of them become to built-up area later. In addition, it is assessed that the secondary housing development projects did more harm than the initial one. By assessing the cumulative impacts on Suji district, this research suggests to minimize two kinds of solutions : comprehensive environmental assessments in regional unit and regulation on total forest quantity.

• Korean Journal of Childcare and Education
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• v.13 no.2
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• pp.149-164
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• 2017

Objective: This study aimed to examine the mediation effects of parenting style and daily activity on the relationships between cumulative parental stress and cognitive and language development of children. Methods: The participants of this study were 1,154 mothers, their five-year-old children, and teachers enrolled in the population-based study of the Panel Study of Korea Children (PSKC) conducted by the Korea Institute of Childcare and Education from 2008 to 2013. In order to analyze the data, descriptive analysis, Pearson correlation analysis, and structural equation modeling were used. Results: The results revealed that warm parenting style as well as daily activity had dual mediating effects between cumulative parental stress and child development (cognitive and language development). However, warm parenting style did not have any direct effects on child development in this model. Conclusion/Implications: Given that actual mother-child daily activity had an important role in affecting child development, support programs for parenting should include activities that include specific materials and activities which parents can do with their children in everyday life.

• Journal of the Korean Data and Information Science Society
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• v.18 no.2
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• pp.471-479
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• 2007

This paper discusses about how to build up mixed-effects model for analysing ordinal response data by using cumulative logits. Random factors are assumed to be coming from the designed sampling scheme for choosing observational units. Since the observed responses of individuals are ordinal, a proportional odds model with two random effects is suggested. Estimation procedure for the unknown parameters in a suggested model is also discussed by an illustrated example.

• Earthquakes and Structures
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• v.16 no.4
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• pp.391-399
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• 2019

Residual deformation of high-speed railway bridge piers is cumulative under repeated earthquakes, and influences the safety and ride comfort of high-speed trains. This paper investigates the effects of the peak ground acceleration, longitudinal reinforcement ratio, and axial compression ratio on the cumulative deformation through finite element analysis. A simply-supported beam bridge pier model is established using nonlinear beam-column elements in OpenSees, and validated against a shaking table test. Repeated earthquakes were input in the model. The results show that the cumulative deformation of the bridge piers under repeated earthquakes increases with the peak ground acceleration and the axial compression ratio, and decreases with the longitudinal reinforcement ratio.

• 한국데이터정보과학회:학술대회논문집
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• 2004.04a
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• pp.121-126
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• 2004

This paper discusses about how to build up a mixed-effects model using cumulative logits when there are some factors are fixed and others are random. Random factors are assumed to be coming from a two-way nested design for choosing individuals or experimental units to apply treatments. Estimation procedure for the unknown parameters in a suggested model is also discussed by an illustrated example.