• Survey Research
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• v.11 no.3
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• pp.19-32
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• 2010

This paper discusses how we developed an index for measuring problem gambling severity and determined the cutoff score for identifying addicts. This index uses fewer items than the current index and will be particularly useful for telephone surveys. We selected four items among the nine Korean Problem Gambling Severity Index (K-PGSI) items based on our statistical analysis of a survey of 501 gamblers. We applied this four-item index to a survey of 1,584 adults. The analysis of this survey proved the validity of the reduced index. The sensitivity and specificity of this index was 1.00 and 0.99 respectively, showing again the usefulness of this scale.

• The Journal of Information Systems
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• v.23 no.1
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• pp.161-184
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• 2014

Our study measures the Digital Life Index (DLI) of baby boomers by considering the utilization of digital devices in their everyday life. The study was conducted by implementing the following three-step approach: (1) development of survey questions and data collection; (2) build Digital Life Index (DLI) model and lastly; (3) empirical analysis using the Digital Life Index (DLI). In the first stage in order to develop the survey questions to measure the digital index, two surveys were conducted. For the first preliminary survey, it was done based on the existing literatures which enabled this investigation through FGI analysis involving real professionals. The second survey was conducted by commissioning a specialized external firm. In this survey, a total of 400 data was collected to verify the validity and objectivity of the data sample. The data gathered through the survey questions was used to develop the digital index. Firstly, the appropriate factors were extracted by conducting factor analysis. This factor analysis validates and verifies the factors which are appropriate in measuring Digital Life Index (DLI). The derived factors are broadly divided into five main factors. The first factor describes the possession, purchase and use of digital device (x1). Meanwhile, the second factor describes the digital device's software (x2) and the third factor describes the participation in utilizing digital device (x3). The fourth factor describes the utilization of digital device in human personal relationship (x4) and lastly, the fifth factor describes the effect of digital device in everyday life and work environment (x5). Secondly, the digital index model was developed. The variables to represent the Digital Life Index (DLI) are ${\chi}1t,{\chi}2t,{\chi}3t,{\chi}4t$ and ${\chi}5t$. Furthermore, as experience in using the digital index grows overtime, the growth can be represented by the "S" shape. Based on the results, Digital Life Index(DLI) is distributed with the highest point at 90.3 and the lowest point at 25.9.

• Journal of Biomedical Engineering Research
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• v.29 no.5
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• pp.400-407
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• 2008

A health index was proposed that evaluates personal health state from both measured physiological variables and survey questions. Four health indices were defined such as cardiovascular index, stress index, obesity index, and management index. The total health index was calculated by summing these four health indices. Physiological variables such as blood pressure, heart rate variability(HRV), accelerated photoplethysmograph(APG), and body fat percentage were non-invasively measured and a survey questionnaire that asks personal health state, exercise intensity, and food preference was developed. The suggested health index was applied to thirty eight persons including 30 patients and 8 normal persons with an average age of 51.8. The average health index was estimated to be 75.1 out of 100 points. Young age group(below 50) and men group showed higher health indices than the aged(over 50) and women groups. The correlation coefficient between the cardiovascular index and stress index was found to be 0.513, which means stress is related to cardiovascular health state. The correlation coefficient between the measurements and survey questions was 0.385 for the cardiovascular index. It was as low as 0.182 for the stress index. More case studies may improve correlations between measurements and survey questions, and then, the current health index system may develop as an effective tool to evaluate personal health state.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2015.11a
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• pp.192-193
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• 2015

Construction Cycle Trend Survey, which survey total value of orders and realized amounts monthly, is a valuable statistics that used to quick grasp or forecast the trend of domestic construction business. In recent periodical survey quality diagnoses, few professional users named a problem that Construction Cycle Trend Survey could not get together with the current state of the construction industry. This study examined weather Construction Cycle Trend Survey reflects the economic sentiment of construction business or not. Paired t test was performed between Construction Cycle Trend Survey and Construction Business Survey Index (CBSI), and significant differences were verified.

• Proceedings of the Safety Management and Science Conference
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• 2011.04a
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• pp.701-705
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• 2011

The paper reviews Cronbaha's coefficient to measure a single source of error. On the contrary to classical measurement theory, the generalizability study can be used in the social survey design to calculate Generalizability Index (GI) and Dependability Index (DI) for measuring multiple sources of errors of behavior evaluation. The study proposes application guidelines to implement R:($A{\times}B$) mixed models that are composed of random factor and fixed factor.

• Journal of the Korean Society for Precision Engineering
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• v.31 no.5
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• pp.459-466
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• 2014

An index was developed that estimates cardiovascular health degree with easily available physiological information such as survey and noninvasive measurement. The survey score was calculated by utilizing questions related to personal disease history, self-feeling, and management state. The measurement score was calculated using physiological parameters such as blood pressure, accelerated plethysmograph(APG), and heart rate variability(HRV), and augmentation index(AI). In order to evaluate effectiveness of the cardiovascular index and modify weighting factors used in each item, a clinical trial was done in a general hospital. The cardiovascular index showed a clear correlation of 0.685 with the doctor's score on the cardiovascular health degree. The correlation between the self-estimated score and doctor's score was as low as 0.217. The large gap between these two scores demonstrated necessity of more objective tools like the cardiovascular index. The cardiovascular score showed a significant difference between normal persons and patients suffering hypertension or diabetes. (p=0.000).

• Journal of Korean Society on Water Environment
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• v.31 no.6
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• pp.610-618
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• 2015

This study was conducted to find out the influence of sample size (accumulated survey areas) on the seven biological indices of benthic macroinvertebrates. BMI, the index similar to Zeilika-Marvan’s saprobic index, tended to be independent on the variations of sample size. The other indices (Shannon-Weaver’s diversity, Margalef’s richness, Menhinick’s richness, Pielou’s evenness, and Lenat’s EPT index) showed the considerable variations along with the increase of sample size and environmental conditions. To get the appropriate index values, it should be sampled at least 6 replicates more based on 30×30cm Surber sampler. In addition, the habitat heterogeneity index of benthic macroinvertebrates suggested in this study, it will be able to be used for evaluating the heterogeneity of habitats.

• The Journal of Korea Assosiation for Disability and Oral Health
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• v.8 no.1
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• pp.1-9
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• 2012

Mobile oral exam at the facilities for the disabled in Seoul is to improve the oral health of the disabled who can hardly approach dental clinic. We analyzed 1609 oral exam records at 24 facilities (11 special-education schools, 10 living facilities, 2 mental hospitals, 1 health care facility for the elderly) in 2011. The purpose of this study is to figure out the oral health state of the disabled in facilities in Seoul and to compare with the non-disabled in National Survey 2010 and 2008. 1. Special-education school : DMFT index of age 15 is 5.4 which is higher than 3.6 (DMFT index of age 15) of National Survey in 2010. 2. Living facility : DMFT index of ages 35~44 is 8.4 which is higher than 5.2 (DMFT index of ages 35 ~44) of National Survey in 2008. DT rate is higher (31.3% vs 19.2%) and MT rate is lower (7.6% vs 15.5%). 3. Mental hospital : DMFT index of ages 35~44 is 11.3 which is higher than 5.2 (DMFT indext of age 35~44) of National Survey in 2008. DT rate is significantly higher (50.7% vs 19.2%) and FT rate is lower (35.1% vs 65.3%). 4. Health care facility for the elderly : DMFT index of ages 65~74 is 7.1 which is slightly lower than 8.7 (DMFT index of ages 65~74) of National Survey in 2008. The number of existing natural teeth is similar (16 vs 18).

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.7
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• pp.2386-2395
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• 2010

The entrepreneurship is a key success factor of industrial development in global competitive environments. but there is no entrepreneurship index/indicator which gives comprehensive advantages for monitoring and forecasting entrepreneur environments in Korea. The purpose of the study is developing Entrepreneurship Survey Index(ESI) which considering various significant entrepreneur factors. The suggested ESI in this exploratory study consists of entrepreneurship business index(EBI), entrepreneurship environment index(EEI) and entrepreneurship preparation index(EPI). The EBI is composed of overall business factors which revised from practical studies and expert reviews. The EEI is mainly retrieved Global Entrepreneurship Monitor(GEM) and partially modified by an expert advisor to identify entrepreneur environments. The EPI is developed for evaluating and confirming the capability, plan and intention of the pre-entrepreneurship. The practical survey of using the proposed ESI will enhance the power of forecasting the entrepreneurship environment changes and provide effective entrepreneurship policy making for stakeholder.

• Journal of Korean Society for Quality Management
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• v.32 no.2
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• pp.212-231
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• 2004

It is very important to produce military goods for customers, and a customer satisfaction index should be developed for quality control of military goods. Seoul National University and Defense Quality Assurance Agency jointly developed MCSI (Military Customer Satisfaction Index). In this paper the model of MCSI is explained, and the sampling design and survey method is introduced. Also a preliminary test was undertaken, and its result is briefly explained.