• Journal of Korean Society for Quality Management
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• v.38 no.2
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• pp.150-160
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• 2010

Statistics Korea has been diagnosis national statistics every year since 2006. They diagnosis over 200 kinds of national statistics. They have 7 quality dimension used for quality diagnosis. That is relevance, accuracy, Timeliness, Comparability, Coherence, Accessibility. Since we are interest in how well they produce national statistics, comparability has become the most important dimension recently. In this reason, Statistics Korea try to rating quality level and development comparability index for national statistics. This paper propose the practical method of grading the quality level and developing the comparability index of the national statistics.

• 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.

• Survey Research
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• v.5 no.2
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• pp.71-90
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• 2004

The quality of statistics as a product is necessary to increase the competition of the nation. It will also improve the nation. In 2002 KNSO(Korea National Statistical Office) assessed 12 statistics produced by KNSO using 48 statistics quality evaluation indices. However, there are some difficulties in assessing the quality of the statistics correctly and in establishing policies for the improvement of the quality of statistics due to a lack of staff and organizations. Moreover there are insufficient statistics quality evaluation indices comparing main international organizations and developed countries. In this paper, we developed 81 statistics quality evaluation indices by revising and complementing the current indices of KNSO and divided these indices into 7 dimensions. These indices can be classified by dimensions or procedures, and also used according to statistics.

• 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.

• Communications for Statistical Applications and Methods
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• v.14 no.3
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• pp.649-665
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• 2007

The improvement of quality is a continuous process and one of the main objectives of the Statistical Strategy launched by the Korea National Statistical Office (KNSO) is the enhancement of the quality of Korea national statistics. In this paper, we define the processing statistic, classify the Korea national processing statistics, and develop the quality indicators and check list for assessing the national processing statistics of Korea. During its development, the indicators has been discussed with the processing statistic managers of the KNSO and the checklist tested in a pilot study covering a variety of processing statistic areas.

• Communications for Statistical Applications and Methods
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• v.10 no.1
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• pp.39-48
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• 2003

Quality in agriculture statistics at the international level is very important to all countries in the world. We investigate international organizations which produce worldwide agricultural statistics. The UN-FAO is one of the most important organization in agricultural statistics fields. We first introduce the Statistics division in FAO and present some considerations like production, reliability, quality of the agriculture data from my own experience as a consultant in FAO and Ministry of Agriculture and Forestry in Korea.

• 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.

• Journal of Environmental Science International
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• v.18 no.10
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• pp.1079-1088
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• 2009

The statistics of monitoring on soil quality is a report statistics which is made on the basis of Article 15, Environment Strategy Basic Law and Article 5, Soil Environment Conservation Law. This study was conducted according to quality assessment of Korea National Statistical Office. The assessment of quality infrastructure advised that the authority bring up and increase completely responsible officer and secure the budget. The assessment of user satisfaction and reflection of request propose that the statistics is focused on soil background concentration, decrease soil sampling points and extend survey period. The assessment of error management system per processes of detailed preparation suggest change of the statistics objective, a reduction of sampling points and improvement of survey period and soil measurement properties. Accuracy assessment of data proposed cuts of sampling points, accessibility increment and build up of management system linking subordinates and Ministry of Environment. The substantiality assessment of data service demonstrated information environment improvement for users including reference expression and records of statistics table and figure contents.

• Journal of Applied Reliability
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• v.11 no.2
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• pp.177-186
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• 2011

Traditionally, one uses a method of straight-line recognition to evaluate quality of product or service. One can satisfy with the product or service if their physical requirement of are met some criterions and can not satisfy them if their physical requirement are not met. Kano, et al(1984) introduce two dimensional Quality model to evaluate quality of product or service. They classify Quality Characteristic of product and service to three categories; satisfying quality, attractive quality, expected quality. In this paper, 17 evaluation features in 6 categories of smart-card are obtained from Focus-interview and Brainstorming and classified into 3 categories of quality model by Kano's two dimensional method. This classification is expected to provide a guideline for evaluation of smart-card.

• The Korean Journal of Applied Statistics
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• v.17 no.3
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• pp.377-391
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• 2004

Upon rapid growth of Information and Communication Technology (ICT) in Korea, the necessity of improved quality of official statistics in ICT is uprising. In order to improve the quality of ICT statistics, various factors such as survey quality, processing quality, output quality and reputation of statistical agency need to be considered together. We use a structural equation model to find a relationship among such factors which can influence the customer satisfaction. Furthermore, this study provides customer with characterized feedback information by comparing the satisfaction indices. It is expected that our model can be used to improve the quality of official ICT statistics.