• Korea journal of population studies
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• v.30 no.3
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• pp.179-205
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• 2007

Demography has grown as an independent academic discipline in Korea during past 30 years by describing and examining changes of population components such as fertility, mortality, migration, and census, and the "Population Association of Korea" stands on the midst of the growth. High fertility of the 1960s and 70s, which was considered as a hurdle of economic growth, particularly boosted the prosper of demography in Korea by inviting a number of non-demographers as well as demographers to population-related research projects. However, as fertility gradually decreases and becomes no-threat anymore beginning the early 1990s, social interests in demography has withered to lose its academic soils in Korea. A recent phenomenon of the lowest low fertility has revived social need and interest in demography. Unfortunately, once curtailed capacity of Korean demography is not sufficient enough to provide academic and/or practical resources now. This research is conducted to cerebrate the 30th anniversary of "Population Association of Korea" and to seek ways to cultivate academic soils again and to rebuild the capacity of demography in Korea. To do this, this research examines the causes of current struggles of Korean demography by comparing its academic environments with that of America, and offers suggestions for its brighter future.

• Korea journal of population studies
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• v.12 no.2
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• pp.56-68
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• 1989

The methodology in historical demography comprises the three core areas the family reconstitution method at the Institut National d' Ftudes Demographiques(I.N.E.D), the back projection at the Cambridge Group for the History of PopuJation and Social Struc-ture(HPSS). and the household-pattern analysis at the Cambridge Group and at the California Institute of Technology. The paper presents an outline of the family reconstitu-tion method and discusses the problems, both theoretical and methodological, arising from the problematic back projection vis-a-vis the usual inverse projection developed by Ronald D. Lee at Berkeley. Recent developments in the tield of the generalized inverse projection method designed 10 supplement the defects in the back projection and the inverse projection are presented. and for ease of explanation of the parish register data for the family reconstitution form (FRE). pre-modern Korean household register data are presented along with the parish register data of England and Wales that constitute the backbone of historical demography in pre-modern Europe. Possibilities of exploring the household pattern analysis method based on the Laslett-Hammel classification scheme for the mid-eighteenth-century Korean household register data are suggested.

• Journal of Distribution Science
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• v.18 no.7
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• pp.49-62
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• 2020

Purpose: The purpose of this study is to examine under what conditions suggestion programs conducted by organizations actually increase individual perception of their work effectiveness. Specifically, this study looks into the effects of cooperation perception and relational demography of employee on work effectiveness of suggestion programs. It does this by focusing on the interaction effect of organizational commitment. Research design, data and methodology: Data was collected from 1,872 participants who took part in the suggestion program of HCCP 6th DATA. This data was subjected to multiple regression analysis. Results: a) higher employee cooperation perception enhances work effectiveness of suggestion program, but relational difference of knowledge diversity between team members has no effect on work efficiency; b) Positive effect of cooperation perception, and difference in education level on work effectiveness become greater as commitment increases. However, organizational commitment decreases the positive effect of difference in organizational tenure on work effectiveness by suggestion program. Conclusion: The results point to the importance of broadening the current conceptual models of employee work effectiveness of suggestion program to include relational demography, as well as the utility of conducting additional cross-level research on suggestion programs.

• Acta Via Serica
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• v.5 no.1
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• pp.153-186
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• 2020

The family as a social institution has survived most diverse political periods and appears resilient or at least able to reconstitute itself even in the aftermath of destructive events such as wars. Age at first marriage is one possibility to systematize the strategies that families follow in times of internal conflicts (e.g., civil wars), external interventions or peaceful times. The authors found that age at first marriage correlates with socio-political events whereas perceptions of insecurity lead to a decline in marital age. This paper is based on three case studies that the authors have conducted through ethnographic methods among Tajiks in the cities Kulob, Khujand, and Mazar-e Sharif in Tajikistan and Afghanistan. Combining Grounded Theory with the genealogical methods from social anthropology in order to generate demographic data, the authors introduce the method of grounded demography as a way to generate demographic data through ethnographic methods. Grounded demography offers a way to produce statistical data grounded in ethnographic research.

• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.66-71
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• 2003

This study investigates the spatial patterns of distributed population in terms of population density, age structure, sex structure and family structure in Chou (smallest political city boundaries) of seven cities of Kitakawachi region. This displays the population dynamics of those cities from 1955 to 1995. It demonstrates how the populations of the cities are distributed with topography and with respect to the train stations. The demographic characteristics of the cities are visualized utilizing Arc View GIS capabilities with new visualizing technique in 3D environment based on data from Pasco Digital Map 2000.

• The Korean Journal of Ecology
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• v.18 no.4
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• pp.512-523
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• 1995

The central theme of Habital heterogeneity is to provide animals with habital complexity or structural diversity and to allow resource partitioning among individuals. In turn, the leads to population stability because prey can escape more easily with more hiding places causing less population fluctuation. Species diversity is characterized due to more potential niches both horizontally and verticall. Empirically, in homogeneous habitats population was less abundant, reproduction and survival were lower, spacing behavior, competition and dispersal were higher than in heterogeneous habitats. The results imply that diversity and conservation of species can be maintained through providing heterogeneous habitats.

• The Korean Journal of Applied Statistics
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• v.33 no.4
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• pp.421-437
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• 2020

This paper implemented a method to predict the fertility rate, mortality rate, and international migration rate using the R program, which has been widely used in recent years, that calculates population projection by substituting the results into the Leslie matrix. In particular, the generalization log gamma model for the fertility rate by Kaneko (2003), LC-ER model for mortality rate by Li et al. (2013), and functional data model for international migration rates proposed by Ramsay and Silverman (2005) and Hyndman and Booth (2008), Hyndman et al. (2013) can be directly demonstrated with R programs. Demography and bayesPop have been introduced as a representative demographic package implemented in R; however, it can be analyzed only for data uploaded to Human Mortality Database (HMD) and Human Fertility Database (HFD) with data changes and modifications requiring application of other data. In particular, in Korea, there is a limitation in applying this package because it is provided only for short-term data in HMD. This paper introduces an R program that can reflect this situation and the different patterns of low fertility, aging, migration of domestic and foreigners in Korea, and derives a population projection for the year 2117.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.4
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• pp.1479-1485
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• 2015

Background: Even after completion of conventional treatment, breast cancer survivors continue to exhibit a variety of psychological and physical symptoms, affecting their quality of life. The study aimed to investigate the relationship between socio-demography, medical characteristics and health-related quality of life (HR-QOL) of a sample of breast cancer survivors in Malaysia. Materials and Methods: This pilot cross-sectional survey was conducted among breast cancer survivors (n=40) who were members of Breast Cancer Support Group Centre Johor Bahru. A validated self-administered questionnaire was used to identify the relationships between socio-demography, medical characteristics and HR-QOL of the participants. Results: Living with family and completion of treatment were significant predictive factors of self-rated QOL, while living with family and ever giving birth significantly predicted satisfaction with health and physical health. Psychological health had moderate correlations with number of children and early cancer stage. Survivors' higher personal income (>MYR4,500) was the only significant predictor of social relationship, while age, income more than MYR4,500 and giving birth significantly predicted environment domain score. Conclusions: The findings suggested the survivors coped better in all four HR-QOL domains if they were married, lived with family, had children and were employed.

• The Bulletin of The Korean Astronomical Society
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• v.34 no.1
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• pp.72.2-72.2
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• 2009

• Bulletin of the Korean Space Science Society
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• 2009.04a
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• pp.58.1-58.1
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• 2009