• The Journal of Asian Finance, Economics and Business
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• v.7 no.6
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• pp.551-560
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• 2020

This research investigates the impact of vocational training on wages of ethnic minority labors in emerging countries; Vietnam is the case study. The study uses secondary data from 2014 to 2018 collected through Vietnam Household Living Standards Surveys (VHLSS) conducted by the General Statistics Office. In order to analyze the impact of vocational training on wages of ethnic minority areas in Vietnam, this research creates ethnic area variables. According to Vietnamese regulations, ethnic areas are communes of 51 different provinces, inhabited by ethnic minority people. The statistics from VHLSS in 2018, show that the proportion of labors of working age with a certificate was 22.5%. The research employs Heckman Sample Selection Model to estimate the impact of vocation training on wage of labors in ethnic minority areas. The results show that vocational training plays a crucial role in improving the wages of ethnic minorities and has a positive impact. However, apart from the achieved outcomes, vocational training and job creation for ethnic minorities are not without limitations and shortcomings. Based on the findings, some recommendations to ethnic minority labors, enterprises and the Government are proposed to encourage participation in vocational training for the purpose of promoting the efficiency of the labor market.

• Korean Business Review
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• v.21 no.2
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• pp.111-136
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• 2008

The central purpose of this study is to examine the relationships among learning and growth perspective, internal business process perspective, custom perspective, financial perspective, and general performance. To achieve this purpose, this study uses Kaplan and Norton's(1996) Balanced Scorecard Model theory. A field survey was undertaken through questionnaire sampling a population of construction companies. The data was collected from 185 firms in Korea for the analysis. The major findings of this study can be summarized as follows; Theoretical consideration and empirical study indicate statistically significant relationship(F=7.68, p=0.000). Especially, Financial perspective appeared to mediate the relationship between non-financial perspectives and general performance. It concludes that Non-financial perspectives significant affect the financial perspective and general performance. But, there are several limitations and directions for future research that should be noted. The potential limitation of this study concerns sampling and for selection process. Future research needs to reduce potential bias by collecting data which allows multiple industries for a subset of the sample.

• Journal of Distribution Research
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• v.12 no.4
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• pp.27-47
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• 2007

Using survey data and the Heckit model that adequately controls the sample selection bias, we analyze shoppers expenditure through two major emerging shopping channels: Internet shopping and TV home shopping channels. Age, Internet experience, daily Internet usage, the number of computers are factors that affect the ratio of consumers' expenditure through Internet shopping relative to the expenditure through TV home shopping. Shopping frequency which represents the shoppers' incentives to reduce transaction costs also has a positive effect on the proportion of shoppers' expenditure through the Internet shopping. Shoppers' perceptions of convenience, reliability, speed, and diversity are also shown to affect shoppers' relative expenditure ratio through Internet shopping. In contrast, shoppers' perception of prices does not seem to affect their purchasing behavior.

• The Bulletin of The Korean Astronomical Society
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• v.39 no.2
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• pp.50-50
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• 2014

We present a new catalog of galaxies in the wider region of the Virgo cluster, based on the Sloan Digital Sky Survey (SDSS) Data Release 7. The Extended Virgo Cluster Catalog (EVCC) covers an area of 725 deg2 or 60.1 Mpc2. It is 5.2 times larger than the footprint of the classical Virgo Cluster Catalog (VCC) and reaches out to 3.5 times the virial radius of the Virgo cluster. We selected 1324 spectroscopically targeted galaxies with radial velocities less than 3000 km s-1. In addition, 265 galaxies that have been missed in the SDSS spectroscopic survey but have available redshifts in the NASA Extragalactic Database are also included. Our selection process secured a total of 1589 galaxies of which 676 galaxies are not included in the VCC. The certain and possible cluster members are defined by means of redshift comparison with a cluster infall model. We employed two independent and complementary galaxy classification schemes: the traditional morphological classification based on the visual inspection of optical images and a characterization of galaxies from their spectroscopic features. SDSS u, g, r, i, and z passband photometry of all EVCC galaxies was performed using Source Extractor. We compare the EVCC galaxies with the VCC in terms of morphology, spatial distribution, and luminosity function. The EVCC defines a comprehensive galaxy sample covering a wider range in galaxy density that is significantly different from the inner region of the Virgo cluster. It will be the foundation for forthcoming galaxy evolution studies in the extended Virgo cluster region, complementing ongoing and planned Virgo cluster surveys at various wavelengths.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.17
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• pp.7731-7736
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• 2015

Background: Breast cancer usually shows a slow development rate and when it is recognized in early stages very successful treatment results can be achieved. This research was planned to research the health beliefs of nursing faculty students about breast cancer and breast self-examination (BSE). Materials and Methods: The first class students of nursing faculty formed the basis for this descriptive research (N=347). Sample selection was not made and all female students who wanted to participate voluntarily in the research during March-May of 2014 were included (n=331). Results: It was determined that 85.5% of students had knowledge about cancer, 79.5 % knew of breast cancer, and 65.3% were aware of how BSE is performed. According to the responses of students to the scale of the health belief model that is used to determine the health beliefs of students, item-point averages of trust and obstacle sub-dimensions were high. Conclusions: It is determined that more than half of students had knowledge about breast cancer and breast self-examination. Their health beliefs were affected by trust and obstacle perceptions, knowledge level about cancer, and awareness about how BSE is done. These factors should be considered in planning trainings that will be given to students. Social responsibility projects should have designed to create the awareness that cancer is a treatable disease.

• Korean Journal of Veterinary Research
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• v.39 no.4
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• pp.730-737
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• 1999

A national animal health monitoring system(NAHMS) in Gyeongnam area was started from 1997 to develop statistically valid data for use in estimating disease frequencies in dairy cattle, and the associated costs. The objectives of this study were to : (1) discribe what was done to implement and maintain the system in Gyeongnam ; (2) present selected disease frequencies ; (3) discuss the epidemiological consideration of what was done and implications for the results obtained. Veterinary Medical Officers(VMOs-professors and graduate students from Gyeongsang National University, Faculty of Gyeongnam Livestock Promotion Institute, and Clinic veterinarians) served as data collectors. After training on current disease and management problems of dairy cattle, interview techniques, sampling methods, and data collection instruments, the VMOs participated in selection of the sample herds and data gathering. Forty of 167 dairy herds were selected randomly and the VMOs visited farms once a month for 12 months to collect data about management, disease, inventory, production, preventive treatment, financial and any other relevant data. Strict data quality control devices were used. Specific feed-back was developed for the producers and data collectors. Of the three age groups studied, cows had the greatest number of disease problems. The six disorders found most frequently were (from the highest to the lowest) breeding problems, clinical mastitis, birth problems, gastrointestinal problems. metabolic problems, and lameness. In young stock, respiratory, multiple system, breeding problems, and gastrointestinal problems were pre dominant, whereas in calves, gastrointestinal, respiratory, and integumental problems were major.

• Journal of Korean Academy of Nursing
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• v.46 no.6
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• pp.836-847
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• 2016

Purpose: The purpose of this study was to examine the association between utilization of home care services under the national long-term care insurance system and family caregiver distress. Methods: A secondary data analysis was conducted in this study using data collected in 2011 and 2012 from the Korean version of International Resident Assessment Instrument (interRAI) Home Care assessment system. The study sample included 228 clients receiving community based home care and their family caregivers in Korea. Descriptive statistics, $x^2$ test, t-test, and Heckman selection model analysis were conducted using SAS 9.3. Results: Presence of family caregiver distress was significantly associated with days of nurse visits (${\beta}$=-.89, p=<.001) and home helper visits (${\beta}$=-.53, p=.014). Level of caregiver distress was also significantly associated with days of nurse visits (${\beta}$=-.66, p=.028). Other factors which were significantly associated with caregiver distress were depression, cognitive function, inadequate pain control, social support for older adult, and caregiver relationship to the older adult. Conclusion: The results of this study show that visiting nurse service and appropriate support programs for Older Adults and family caregivers experiencing caregiver distress should be developed and provided to families based on the health care needs of older adults and their family caregivers for effective and sustainable home care.

• Journal of the Ergonomics Society of Korea
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• v.29 no.6
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• pp.831-841
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• 2010

Usability evaluation of physical products involves characterizing complex physical interactions between humans and products. Human models known as manikins have been widely utilized as usability evaluation tools for automobile interior package design. When combined with computer-aided design software programs, such manikins can be used to simulate driving postures and evaluate driver-interior fits early in the design process, and therefore, may greatly facilitate achieving high-quality design in a cost-efficient manner. The purpose of this study was to define a set of manikins for designing automobile interior packages for the South Korean male population. These manikins were conceptualized as "boundary" manikins, which represent individuals lacking in certain physical capacities or having usability-related issues (e.g., an individual with the 5th percentile forward reach capability, an individual with the 95th percentile shoulder width). Such boundary manikins can serve as an efficient tool for determining if an automobile interior design accommodates the majority of the population. The boundary manikins were selected from the large sample of Korean males whose anthropometric dimensions were described in the recent Size Korea anthropometric database. For each male in the database, his comfortable driving posture was represented using a kinematic body linkage model and various physical capacity measured and usability-related characteristics relevant to driver accommodation were evaluated. For each such measure, a boundary manikin was selected among the Korean males. The manikins defined in this study are expected to serve as tools for ergonomic design of automobile interior packages. The manikin selection method developed in this study was implemented as a generic software program useful for various product design applications.

• Journal of the Korea Convergence Society
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• v.8 no.6
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• pp.265-273
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• 2017

This research is conducted a study on the effect of startup mentoring and education satisfaction as well as startup intention on the individual characteristics of university students, therefore, to draw way to increase start up ability of university student as well as their outcome is a primary purpose. Statistics process of sample data for 237 students at the local university in Gwangju is performed an analysis of frequency, reliability, factor, and multiple regression utilized SPSS 2.0 For windows. Individual characteristics except for innovativeness have effected on startup mentoring as well as startup education satisfaction while start up mentoring has effected on start up intention. Only role model function among start up mentoring factors has effected on start up intention while startup education satisfaction has effected on start up intention. As a result, start up intention and its outcome in university will be increased through not only selection of start up mentors with a competence and a passion but also start up mentoring and systematic start up education program fit for individual personality of university student.

• Korea journal of population studies
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• v.11 no.1
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• pp.1-13
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• 1988

This study examines the sampling bias that may have resulted from the large number of missing observations. Despite well-designed and reliable sampling procedures, the observed sample values in DSFH(Demographic Survey on Changes in Family and Household Structure, Japan) included many missing observations. The head administerd survey method of DSFH resulted in a large number of missing observations regarding characteristics of elderly non-head parents and their children. In addition, the response probability of a particular item in DSFH significantly differs by characteristics of elderly parents and their children. Furthermore, missing observations of many items occurred simultaneously. This complex pattern of missing observations critically limits the ability to produce an unbiased analysis. First, the large number of missing observations is likely to cause a misleading estimate of the standard error. Even worse, the possible dependency of missing observations on their latent values is likely to produce biased estimates of covariates. Two models are employed to solve the possible inference biases. First, EM algorithm is used to infer the missing values based on the knowledge of the association between the observed values and other covariates. Second, a selection model was employed given the suspicion that the probability of missing observations of proximity depends on its unobserved outcome.