• 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.

• Proceedings of the Korean Association for Survey Research Conference
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• 2002.11a
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• pp.111-127
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• 2002

As the utilization of official statistics has been recently increased, the necessity of objective quality assessment also has been increased. Since mean square error(MSE) and response rate, which have been considered as representative quality indicators in the past, may have the limits of use, it has been demanded to develop new quality indicators which are able to reflect the various requirements of users. In this paper, regarding sample surveys conducted by governmental agencies, the flow of procedures in statistics production is analyzed using input-output of each procedure. As the result, how to identify and develop quality indicators for each procedure is discussed, with some instances of indicators. Finally, the quality index using the results of quality assessment would be calculated based on a weighting method by the size of deviation of statistical measures.

• 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.

• Journal of Korean Library and Information Science Society
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• v.43 no.4
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• pp.427-450
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• 2012

This study was to propose an improvement direction in statistical indicators of public libraries to collect objective data from such libraries. This improvement direction was made by deriving from countable factors at the library. These were selected from various parts of the library sectors, such as the library-related laws, public library standard of our country, and statistical indicators of IFLA and other major countries. Also The these statistical indicator was compared to the current statistical indicator of public library in Korea. The results will be able to develop new draft of statistical indicator, which can be used in understanding the present situation of public libraries.

• Informatization Policy
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• v.18 no.2
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• pp.85-98
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• 2011

This paper attempts to develop an index of mobile telecommunications service quality through econometric analysis using data of the leading telco in each OECD country. CapEx of the operator was selected as a proxy variable to represent the quality of the service. To eliminate the part which is dependent on the population and size from CapEx, however, CapEx was regressed on population, area, 3G coverage, Herfindahl-Hirschman Index (HHI) of mobile market, EBITDA margin, and market share of the leading operator. Then, the part of CapEx, which was explained by size and population, was subtracted from CapEx, and the remaining part was regarded as the quality index of mobile telecommunications service. Comparisons among quality indexes of each country revealed that the service quality in Korea and Japan is better than that of France, UK and Germany.

• Journal of Digital Convergence
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• v.12 no.6
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• pp.43-53
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• 2014

This study aims to improve the openness of administrative data and to make extensive use of it in the academic and policy development, analyzing the quality requirements as the users' view of administrative data using statistical purposes. Conducted the exploratory analysis on the case of the Transaction-based Price Index of Housing, applying the administrative data of Realestate Transaction Management System in Korea, based on Denmark's 7 quality indicators for the statistical use of administrative data. According to the results of this study, the administrative data could improve the efficacy of the policy by facilitating the collection of the statistical data which help analyzing the actual market situations. On the other hand, the data have some constraints in adding the required items to producing the statistics, or improving the timeliness problem, due to the characteristics focused on the civil service.

• Proceedings of the Korean Association for Survey Research Conference
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• 2006.12a
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• pp.157-175
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• 2006

• Survey Research
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• v.10 no.1
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• pp.113-139
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• 2009

It is desirable to use a monthly benchmarked construction indicator which contains the characteristics of statistical data in an annual survey in order to analyze the cyclical phenomenon of the construction activity. The benchmarked indicator is expected to improve the data quality in terms of accuracy, consistency, comparability, and completeness. In this paper, benchmarking methodologies of compiling monthly construction indicators arc researched by using a monthly prompt data holding short - term fluctuations and an annual survey data regarded as more accurate statistics than monthly data. The benchmarking is the methodology by which a high frequency data should he adjusted in order to hold the short-term and cyclical phenomena, and the long - term trend of two data groups with ensuring the consistency of an annual summation between a high frequency data and a low frequency data. This paper considered the numerical approach like pro rata distribution method, proportional Denton method, EFL or HP filter Benchmark - to - Indicator ratio method, and the model - based approach such as Chow and Lin method, $Fem{\acute{a}}ndez$ method. Also, the benchmarked construction indicators were estimated by early mentioned benchmarking methods with practical data, and these methods were empirically reviewed and compared. In case of construction indicators with severe seasonal fluctuations and irregulars, the numerical approach seemed to be performed more correctly than the model- based approach. Among numerical methods, the proportional Denton method used in general was a little nice. The HP filter Benchmark - to - Indicator ratio method may be considered with survey errors or measurement errors in an annual survey data.

• Journal of KIISE
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• v.42 no.4
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• pp.459-467
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• 2015

The analysis platform of remote-sensing big data is a system that downloads data from satellites, transforms it to a data type of L3, and then analyzes it and produces its analysis results. The objective of this paper is to develop ISO/IEC 9126-1 software quality model-based assessment criteria, in order to evaluate the quality of remote-sensing big data analysis platform. Its detailed research contents are as follows. First, the ISO/IEC 9216 standards and previous software evaluation models will be reviewed. Second, this paper will define evaluation areas, evaluation elements, and evaluation items for measuring the quality of big data analysis platform. Third, the validity of the assessment criteria will be verified by statistical experiments through content validity, reliability validity, and construct validity, by using SPSS 20.0 and Amos 20.0 software. The construct validity will also be conducted by performing the confirmatory factor analysis and path analysis. Lastly, it is significant that our research result demonstrates the first evaluation criteria in measuring the quality of big data analysis platform. It is also expected that our assessment criteria could be used as the basis information for evaluation criteria in the platforms that will be developed in the future.

• The Journal of the Korea institute of electronic communication sciences
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• v.9 no.4
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• pp.491-498
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• 2014

As internet services are being provided through a wireless access, the importance of quality of experience (QoE) is stressed that is defined as the quality that indicates user's actual feeling when a service is provided. Unlike quality of service (QoS) that can be expressed as a numerical value, it is difficult to represent QoE in an objective way. If an internet service is serviced over a wireless channel, its QoE can be affected by a number of factors such as fading, mobility and so on. This paper, therefore, attempts to specify the relationship between QoE and QoS by conducting practical measurements for the voice service through 3G high speed packet access (HSPA) access network. Analysing the measured results, it has been shown that received signal strength indicator (RSSI) has a great influence on mean opinion score (MOS) through transmission delay.