• Proceedings of the Korean Association for Survey Research Conference
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• 2001.04a
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• pp.61-81
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• 2001

Government statistics have been treated the most reliable data sources in Korea. In the last 20 years, the numbers and scopes of the government statistics have been expended rapidly. Although government statistics have been widely used in many researches, research methods used in collecting government statistics have not been discussed often. In 1998, we reviewed the survey questionnaire, data collecting methods and procedures of one government statistics, the Labor Demand Survey. Based on the pilot study, we also proposed several survey methods for the quality improvement of the survey. The Ministry of Labor had adopted some suggestions in 1999 survey. This paper introduces the ways in which we investigated the Labor Demand Survey,, detected the problems and issues in the survey, suggestions for the improvement of the survey, and several survey methods adopted by the Ministry of Labor. However, the effects of the new measures are not included in this paper, and will be studied in the near future when the data become available.

• Survey Research
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• v.2 no.2
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• pp.61-81
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• 2001

Government statistics have been treated the most reliable data sources in Korea. In the last 20 years, the numbers and scopes of the government statistics have been expended rapidly. Although government statistics have been widely used in many researches. research methods used in collecting government statistics have not been discussed often. In 1998. we reviewed the survey questionnaire. data collecting methods and procedures of one government statistics. the Labor Demand Survey. Based on the pilot study. we also proposed several survey methods for the quality improvement of the survey. The Ministry of Labor had adopted some suggestions in 1999 survey. This paper introduces the ways in which we investigated the Labor Demand survey. detected the problems and issues in the survey. suggestions for the improvement of the survey. and several survey methods adopted by the Ministry of Labor. However, the effects of the new measures are not included in this paper. and will be studied in the near future when the data become available.

• The Korean Journal of Applied Statistics
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• v.17 no.3
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• pp.557-571
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• 2004

Recently, some advanced statistical agencies have great concern on the quality of statistics which is defined in the context of being' fit for use'. In this paper, we present a concept for statistics quality control, elements of statistics quality, 8 procedures for sampling survey. We also suggest quality guidelines for sampling survey statistics.

• Journal of the Korean Statistical Society
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• v.1 no.1
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• pp.66-78
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• 1973

In Korea, the statistical system is very weak because it is not functional. Knowledge of statistical theory remains iosolated from applications: routine tasks of collection or processing of data are continued often without utilization, and programms are started in a superficial imitation of other without any purpose. It is essential, in Korea, to make statistics purposive. The only way is to give training statistics-fully developed technology of a multi-discipline character in applied statistics. The purpose of this study is primarily to survey the necessity of, or desire for, statistical tarining for the statistical personnel of the government agencies or bank offices in Seoul, Korea and discuss an adequate method of vacational training in statistics. This survey can be summarized as follows : (1) about 94 percent of the sampled people (478) do not consider their present statistical background adequately trained and 128 persons out of 478 request a graduate level training in respective fields. (2) The statistical fields on job in the sample are : Economic statistics : 138, Sampling survey : 228, management statistics : 50, other fields : 62. (3) Educational background are * College graduate : 369 (male 347, female 22) Economics 99, Business administration 99, Law 71, Mathematics and statistics 24, Others 76 * High school graduate : 109 (male 43, female 66)

• Journal of Digital Convergence
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• v.11 no.6
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• pp.245-256
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• 2013

This study was conducted in order to examine the quantity of health and medical statistics survey in Medical Records Offices which was required by outside institutions and whether it is profitable for the hospitals or not. The thirteen outside institutions required health and medical statistics of the 24 types of the survey to Medical Records Offices. 16.7% of health and medical statistics of the survey was paid to medical records offices such as the National Cancer Registration Survey, Patient Survey, Tuberculosis Patient Survey, and Hospital Discharge Patients Injury Survey. Medical Records Offices' total length of time for the health and medical statistics survey was over 200 hours per year like the National Cancer Registration Survey, Healthcare Accreditation System and Hospital Discharge Patients Injury Survey. The Medical Record Administrators in the hospitals with fewer than 500 beds work full time from 1 to 3. It is indicated in the study that it is necessary to improve the health and medical statistics survey system in Medical Records Offices required by the outside institutions and to employ additional Medical Record Administrator for more accurate Health and Medical Statistics Survey.

• 한국데이터정보과학회:학술대회논문집
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• 2006.11a
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• pp.167-180
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• 2006

The statistical survey and analysis is much restricted to time, space and material. The statistical survey and analysis could hardly resume. The statistical survey and analysis is very important to create various and accurate information. The statistical survey and analysis which is not a expert knowledge have many problems in productivity of information, reliability and etc. In this paper, we study the design and Implementation of web-based statistical survey and analysis consulting system which a client meet easily a statistical expert on the web.

• Journal of Korean Society for Quality Management
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• v.40 no.4
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• pp.577-588
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• 2012

Purpose: This paper aims to evaluate the quality of Small & Medium Enterprises(SMEs) Survey and to provide some desirable directions and improvements for the future SMEs Survey, conducted by the Government. Methods: The diagnosis were performed by employing the quantitative and qualitative approaches with the official guideline provided by the Ministry of Statistics. Results: Results show that follow-up management are evaluated relatively low in specific processes, and timeliness are evaluated relatively lower than accuracy, accessibility, relevance, comparability and consistency in statistical qualities. Conclusion: we propose the alternatives which enhance the quality level of SMEs by using the 6 tools of Quality Management for Statistics.

• The Korean Journal of Applied Statistics
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• v.10 no.2
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• pp.215-226
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• 1997

The purpose of the labor statistics survey is to collect materials on employment, wages and the working time and to analyze the trend of the labor situation. in this research, the stratification variables are industry and the size of establishment. The sample are selected by stratified one stage sampling method in order to produce the reliable estimates of labor statistics. For local labor statistics, we design the sample survey using the city and province as sub-population. So we are able to produce the local area estimates of labor statistics with respect to industry and the size of establishment.

• Survey Research
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• v.7 no.1
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• pp.85-107
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• 2006

There has been growing interest in the quality of official statistics based on the administrative records. Such statistics take a large part in the official statistics in Korea, which are distinguished from survey statistics in aspects of data collection process. So we need specific quality management methods appropriate for official statistics based on the administrative records. This paper concerns improvement of the quality of official statistics. We first briefly review some of main issues facing the official statistics based on the administrative records in Korea and then provide quality assessment indicators for improving the quality of official statistics.

• Korea journal of population studies
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• v.12 no.1
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• pp.19-29
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• 1989

It is well known that vital statistics is of great importance as basic data for establishing various range of national policies. Especially, vital statistics is important among demographic information for monitoring and evaluating the population policy, for constructing life table, for making population projection, and for studying various aspects of the society. In principle, the production of vital statistics is based on the registration system. It is, however, still observed that there are some limitations in utilizing fully the registration system due to the inherent problems such as problems in its coverage, accuracies and timeliness. Thus, as an alternative, many countries conduct survey on vital statistics in order to supplement the registration system and obtain in-depth data. Korea is no exception in this aspect. The National Bureau of Statistics carries out the so-called Continuous Demographic Survey. This is a kind of multi-round retrospective survey, covering 32, 000 households and having reference period of one month. The survey has also characteristics of multi-subject sample. Thus, surveys on economic activity status of population, house-hold income & expenditure, and social indicators are together conducted with the same sample. It is, however, found that the survey itself tends to have some quality problems. Especially, the quality problems connected with field data collection are summarized as coverage error, non-response error and response error. Although it is inevitable not to be free from these errors, we should make all our efforts to reduce the errors. The probable schemes pointed out in this paper are as follows : 1) the strengthening formal quality control activities, 2) the review of the survey method, i. e., the combining interview method with mail-sending and mail-back method or pick-up method, 3) well documentation for various cases found in every stage of data collection, and 4) the strengthening the analytical activities. It is, also, emphasized that sincerity of planners and interviewers is the most important factor among other things.