• Survey Research
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• v.1 no.2
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• pp.137-159
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• 2000

In this paper, the following facts have been reviewed: First, statistics should have the characteristics of descriptive, inferential, and applicative statistics in "information-Knowledge Society." Second, the computer has been employed in the process of data collection and data analysis for producing the statistics with timeliness and efficiency. Third. we have to develop a statistical development plan which lays emphasis on the production of applicative statistics in the coming "Internet Cyber Society" In addition, we investigated overall status of computer utilization, and the process of the development of computer-assisted statistical survey methods. The prospects of internet surveys were also investigated here. On the basis of the above review and investigation, we suggested "an integrated system of computer-assisted statistical surveys" that can be applied to all kinds of surveys and statistics.

• Journal of Korean Academy of Nursing
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• v.34 no.7
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• pp.1288-1297
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• 2004

Purpose: The purpose of this study was to investigate the factors influencing health promoting lifestyle in the elderly. Method: The subject of this study was 305 elderly person over the age of 60, living in rural and urban, Korea. For the analysis of collected data, descriptive statistics, t-test, analysis of variance and stepwise multiple regression were used for statistical analysis with SPSS statistical program. Results: The average item score for the health promoting lifestyle was 2.46, The higher score on the subscale was nutrition(2.65). The lowest score on the subscale were physical activity(2,36) and stress management(2,36). General characteristics showing statistically significant difference in health promoting lifestyle were age, residential district, live together spouse, education, religion and pocket money in the elderly. Stepwise multiple regression analysis revealed that the most powerful predictor of health promoting lifestyle in the elderly was prior related behavior(R2=.554). A combination of prior related behavior, perceived benefits of action, perceived self-efficacy, commitment to a plan of action, and interpersonal influences accounted for $64.3\%$ of the variance in health promoting lifestyle in the elderly, Conclusion: The factors influencing on health promoting lifestyle for elderly were prior related behavior, perceived benefits of action, perceived self-efficacy, commitment to a plan of action, and interpersonal influences.

• Journal of the Korean Society of Safety
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• v.29 no.2
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• pp.98-105
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• 2014

Biosafety has become quite sensitive issues according to dramatic development of biotechnology and LMO(Living Modifying Organism) is one of the key issue in biosafety. This study is an exploratory research for investigating the activation strategy of biosafety training management in LMO research field. Based on the survey data, main results are derived through various statistical analysis methodology such as descriptive analysis, factor analysis, reliability analysis, analysis of variance and regression analysis. According to the analysis results, some activation strategies are required to reach the target such as extension of specialized biosafety training program, enhancement of safety consciousness from the undergraduate courses, introduction of appropriate safety regulations, unification of safety management and establishment of safety management system.

• Journal of the Korean Society for information Management
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• v.36 no.2
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• pp.255-273
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• 2019

Recently, the table of contents (TOC) has been becoming increasingly accessible and utilized. The study conducted descriptive statistics and comparative analysis of the table of contents in terms of parts of speech and subject in text. For this purpose, this study chose the books of the social sciences field from acquisition lists of an academic library, obtained Dewey class numbers of target books from KERIS union catalog, and extracted TOC data from online bookstore. Morphological analysis was performed on each book titles and TOCs, and descriptive statistics and frequency analysis were carried out. As a result, nouns made up roughly half of the morphemes of titles or the TOCs. TOCs had about 50 times more nouns than titles. The percentage of unique nouns that appeared only in the table of contents is estimated to be 95.2% of the TOC's total nouns. The table of contents also showed a differences in its lengths depending on the field of social science.

• Journal of Acupuncture Research
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• v.34 no.2
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• pp.19-38
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• 2017

Objectives : This is a retrospective statistical analysis of the demographic and therapeutic characteristics influencing the continued improvement of symptoms in patients treated in 2014 for herniated lumbar discs at a Korean medicine hospital; thereby, providing clinical data to further improve medical services of Korean medicine. Methods : We investigated the demographic and therapeutic variables of all patients who were diagnosed with a herniated lumbar intervertebral disc and were hospitalized for more than 1 night at Dunsan Korean medicine hospital from January 1, 2014, to December 31, 2014. IBM SPSS 21.0 was used to conduct a logistic multiple regression analysis and a covariance analysis (ANCOVA) of the demographic and therapeutic variables collected from the electronic medical records and telephone surveys. Results : 1. A longer duration of hospitalization was significantly better for the maintenance of pain relief or a decrease in the pain after discharge. 2. Younger patients were significantly less likely to be treated with a Western medical treatment after discharge. 3. Most of the demographic and therapeutic variables were not statistically significant in regards to treatment for lower back pain since discharge. Conclusion : Some of the demographic and therapeutic variables had a positive effect on the prognosis at one year or greater in patients who received integrative Korean medical treatment for lumbar disc herniation. Continued and systematic research will be needed.

• Journal of the Korean Society of Clothing and Textiles
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• v.38 no.6
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• pp.810-822
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• 2014

This study investigated the effects of sociocultural influence and body image on appearance enhancement behavior (facial management, clothing selection, and weight/figure management). For data collection, a questionnaire was administrated to 378 female college students in Seoul and Gyeonggi-do from May $23^{rd}$ to June $10^{th}$ 2013. A SPSS 18.0 statistics package was used to analyze data along with descriptive statistical analysis, frequency analysis, factor analysis, reliability analysis, and regression analysis and frequency analysis. The results were as follows. First, sociocultural influences were divided into three factors: media influence, peer influence, and parental influence. Overall sociocultural influences had positive effects on appearance enhancement behavior. Second, body image was divided into: appearances-management, body-satisfaction and body confidence. Sociocultural influences had a significant effect on overall body image. Third, body image positively affected overall appearance enhancement behavior.

• Journal of Physiology & Pathology in Korean Medicine
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• v.22 no.1
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• pp.189-193
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• 2008

We analyzed the research type and statistical methods in Korean Journal of Oriental Physiology and Pathology for describing the trends of Oriental medicine research. The data for the analysis of trends in Oriental medicine research was taken from a total 808 articles published in Korean Journal of Oriental Physiology and Pathology from 2004 to 2006. We surveyed the number of authors, the institutes involved in each study, and used languages in each study. Also we seperated by epidemiological study design, the studies into categories and statistical methods into 13 categories. Results showed that descriptive statistics was used in 125(14.4%) papers. Also t-test, analysis of variance, multiple comparison, chi-square test, and non-parametric test were used in 338(38.9%), 147(16.9%), 81(9.3%), 27(3.1%), 23(2.6%) papers, respectively. And 62(7.1%) papers of the involved papers didn't use statistical methods. To improve the quality of Oriental medicine related articles, we have to use proper statistical methods with consultation of statistician or other experts before accepting a manuscript are needed.

• Communications for Statistical Applications and Methods
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• v.30 no.2
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• pp.119-133
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• 2023

With the rapid growth of the economy and fossil fuel consumption, the concentration of air pollutants has increased significantly and the air pollution problem is no longer limited to small areas. We conduct statistical analysis with the actual data related to air quality that covers the entire of South Korea using R and Python. Some factors such as SO₂, CO, O₃, NO₂, PM₁₀, precipitation, wind speed, wind direction, vapor pressure, local pressure, sea level pressure, temperature, humidity, and others are used as covariates. The main goal of this paper is to predict air quality index (AQI) spatio-temporal data. The observations of spatio-temporal big datasets like AQI data are correlated both spatially and temporally, and computation of the prediction or forecasting with dependence structure is often infeasible. As such, the likelihood function based on the spatio-temporal model may be complicated and some special modelings are useful for statistically reliable predictions. In this paper, we propose several methods for this big spatio-temporal AQI data. First, random effects with spatio-temporal basis functions model, a classical statistical analysis, is proposed. Next, neural networks model, a deep learning method based on artificial neural networks, is applied. Finally, random forest model, a machine learning method that is closer to computational science, will be introduced. Then we compare the forecasting performance of each other in terms of predictive diagnostics. As a result of the analysis, all three methods predicted the normal level of PM_2.5 well, but the performance seems to be poor at the extreme value.

• Spatial Information Research
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• v.9 no.2
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• pp.239-261
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• 2001

A large suite of official statistical data sets has been compiled for geographical units under the national directives, and it is the quantitative regional analysis procedures that could add values to them. This paper reports our attempts at prototyping a statistical GIS which is capable of serving over the Web a variety of regional analysis routines as well as value-added statistics and maps. A pilot database of some major statistical data was ingested for the city of Seoul. The baseline subset of regional analysis methods of practical usage was selected and accommodated into the business logic of the target system, which ranges from descriptive statistics, regional structure/inequality measures, spatial ANOVA, spatial (auto) correlation to regression and residual analysis. The leading-edge information technologies including the application server were adopted in the system design and implementation so that the database, analysis modules and analytic mapping components may cooperate seamlessly behind the Web front-end. The prototyped system supports tables, maps, and files of downloadable format for input and output of the analyses. One of the most salient features of out proposed system is that both the database and analysis modules are extensible via the bi-directional interface for end users; The system provides users with operators and parsers for algebraic formulae such that the stored statistical variables may be transformed and combined into the newly-derived set of variables. This functionality eventually leads to on-the-fly fabrication of user-defined regional analysis algorithms. The stored dataset may also be temporarily augmented by user-uploaded dataset; The extension of this form, in essence, results in a virtual database which awaits for users commands as usual. An initial evaluation of the proposed system confirms that the issues involving the usage and dissemination of information can be addressed with success.

• Korean journal of food and cookery science
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• v.23 no.4 s.100
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• pp.469-480
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• 2007

The purposes of this study were to assess the perception of the characteristics of Condonopsis lanceolata dishes and to find out the development need & willingness to purchase for Condonopsis lanceolata dishes in view of industrial foodservice dieticians. Of 250 questionnaires distributed, 152 completed questionnaires were used for the statistical evaluation. Statistical data analysis was using SPSS 10.0 program for descriptive analysis, $X^{2}$-test, t-test and analysis of variance. The perception score on the characteristics of Condonopsis lanceolata dishes varied according to the number of meals served, mean price of a meal, type of food service management, food cost variation, offering type, and intake frequency; however, perception score was not affected by the number of meal serving/day and the type of menu. Regarding processed foods containing Condonopsis lanceolat, the need for developing side dishes was the highest in processed foods using Condonopsis lanceolata, followed by alcoholic beverage, one dish foods, health foods, and desserts. The score for willingness to purchase dessert of Condonopsis lanceolata was the highest, followed by alcoholic beverage, one dish foods, health foods, and side dishes.