• Journal of Nutrition and Health
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• 제45권6호
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• pp.600-612
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• 2012

Nutritional researchers world-wide are using large-scale sample survey methods to study nutritional health epidemiology and services utilization in general, non-clinical populations. This article provides a review of important statistical methods and software that apply to descriptive and multivariate analysis of data collected in sample surveys, such as national health and nutrition examination survey. A comparative data analysis of the Korea National Health and Nutrition Examination Survey (KNHANES) was used to illustrate analytical procedures and design effects for survey estimates of population statistics, model parameters, and test statistics. This article focused on the following points, method of approach to analyze of the sample survey data, right software tools available to perform these analyses, and correct survey analysis methods important to interpretation of survey data. It addresses the question of approaches to analysis of complex sample survey data. The latest developments in software tools for analysis of complex sample survey data are covered, and empirical examples are presented that illustrate the impact of survey sample design effects on the parameter estimates, test statistics, and significance probabilities (p values) for univariate and multivariate analyses.

• KIEAE Journal
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• 제7권2호
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• pp.31-37
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• 2007

Despite of many supportive research to the usefulness of slide evaluation on environment of outdoor lighting, study method of using slides have provoked many discussions of its manifestation of reality of field conditions. This study aims to compare the results of slide survey with that of field survey. Distant view and short range view of nightscape of Seoul were selected. Field measurement of luminance and chromaticity were conducted and questionnaire survey were conducted. Frequency analysis, T-test, factor analysis were conducted. Results shows that distant view and short range view of field survey have better visual atmosphere than slide survey. In addition, slide survey on distant view shows lowest values. Difference between field survey and slide survey on distant view is much bigger than the results of short range view.

• 한국데이터정보과학회:학술대회논문집
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• 한국데이터정보과학회 2006년도 추계 학술발표회 논문집
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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.

• 한국경영과학회:학술대회논문집
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• 한국경영과학회 2007년도 추계학술대회 및 정기총회
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• pp.477-481
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• 2007

The purpose of this study is to provide the ideal forecasting model of cadastral survey work load through the Economeatric Analysis of Time Series, Granger Causality and VAR Model Analysis, it suggested the forecasting reference materials for the total amount of cadastral survey general work load. The main result is that the derive of the environment variables which affect cadastral survey general work load and the outcome of VAR(vector auto regression) analysis materials(impulse response function and forecast error variance decomposition analysis materials), which explain the change of general work load depending on altering the environment variables. And also, For confirming the stability of time series data, we took a unit root test, ADF(Augmented Dickey-Fuller) analysis and the time series model analysis derives the best cadastral forecasting model regarding on general cadastral survey work load. And also, it showed up the various standards that are applied the statistical method of econometric analysis so it enhanced the prior aggregate system of cadastral survey work load forecasting.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2008년도 추계학술대회 논문집
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• pp.941-946
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• 2008

D&B method in tunnel construction requires accurate and rapid measurement of the ground movement, which of essential for feedback analysis. Recently, survey technique adapting IT is getting more and more emphasized in the field of construction and tunnel survey also follow the same trend. Case study and adaptability of IT technique for tunnel survey will be discussed in this study. The application of laserscannig method in the field of tunnel construction was reported in several advanced country including Austria and Japan. Survey for the crown and shoulder movements by IT survey method was conducted and the results were compared to those do the conventional method. The pipe-roof, grouting, ring-cut are installed in the this site to prevent expected large ground settlement. The result show that laserscanner system is prefered rather than conventional method in that better understanding for the displacement condition and origin condition was liable by the lasersacnnig method. IT survey solution makes if possible to execute more economic and safe construction.

• 대한교통학회지
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• 제32권5호
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• pp.452-461
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• 2014

기존 주차조사는 광범위한 조사지역을 대상으로 조사원이 직접 주차차량의 번호판을 확인하는 방식으로 기동성의 저하, 조사와 입력의 이원화로 인한 입력오류, 많은 조사시간과 비용이 소요되는 단점을 가지고 있었다. 따라서 본 연구에서는 기존 조사원에 의한 주차조사의 단점을 극복하기 위해 최근 상용화된 고성능 영상분석장비, 위성측량장비, 적외선 조명 등을 이용하여 자동주차조사를 위한 방법에 관한 연구를 수행하였으며 본 연구결과 개발된 자동주차조사 방법을 이용하여 조사된 데이터를 수정, 저장, 분석 및 출력이 가능한 주차분석 소프트웨어를 개발하였다. 장비를 이용한 자동주차조사 시 조사차량의 주행속도, 영상분석장비의 촬영각도, 주차차량 상호간 차간간격, 조사차량과 주차차량의 이격거리 등에 의해 조사의 정밀도가 영향을 받는 것으로 나타나 장비를 이용한 자동주차조사의 정확도를 향상시키기 위해 실험을 통해 각 요소별 최적조합을 도출하였다. 또한 기존 주차조사 데이터가 체계적으로 저장, 관리되지 못하고 있는 문제점을 극복하고 주자정책 수립을 지원하기 위한 주차분석을 지원하기 위한 주차분석 소프트웨어를 개발하였다.

• International journal of advanced smart convergence
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• 제11권4호
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• pp.155-162
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• 2022

The purpose of this study is to conduct an empirical study on brand authenticity targeting sportswear brand consumers. Through this, we intend to provide the accumulation and implications of authenticity research. For the research model, first, the authenticity of sportswear brand companies was selected as an independent variable. Brand image and brand attitude were selected as the next parameters. Finally, the dependent variable was the intention to pay the premium. Structural equation model analysis was conducted for the structural relationship between these variables. The subjects of this study are consumers who have purchased sportswear brands within the past year. Convenience sampling was used for the sample survey, and 262 people were finally selected as valid samples. The survey was conducted as a non-face-to-face online survey due to the COVID-19 infection. For data processing, frequency analysis was conducted using SPSS 23 to identify the individual characteristics of the survey subjects. In addition, exploratory factor analysis and reliability analysis were performed to refine the scale of the survey tool. Next, using AMOS 21, confirmatory factor analysis and correlation analysis were conducted to verify the measurement model. In addition, structural equation model analysis was conducted to verify the hypothesis. As a result of the analysis, all six hypotheses selected from the research model were adopted.

• 웰빙융합연구
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• 제4권4호
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• pp.1-14
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• 2021

Purpose: This study aims to measure the level of satisfaction with the overall education of current students, who are major consumers of education by department at the Health Care Convergence University, and to establish development strategies such as improving education quality and satisfaction by deriving problems and improvements. Research design, data and methodology: This study drew conclusions through secondary data analysis based on data surveyed by the Educational Performance Management Center of a university in the academic year of 2020. The target of the education consumer satisfaction survey was 470 students of the College in the academic year 2020. Frequency analysis and correlation analysis were applied to the data using the statistical package program SPSS 25 version. Results: In the major curriculum satisfaction survey, the department with the highest score was optics and optics, 4.11, and the department with the lowest score was medical IT, 3.29. Conclusions: The department with the highest correlation in the correlation analysis result of the demand survey by department was the Department of Medical Management and the Department of Medical IT, with a correlation coefficient r=0.984, and the lowest correlation in the correlation analysis result of the demand survey by department was the Department of Medical IT and Dental Hygiene, with a correlation coefficient r= -0.085.

• KIEAE Journal
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• 제17권5호
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• pp.5-14
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• 2017

Purpose: In korea, Aging in Place is underway as an alternative to elderly housing for the aging population. Currently, research is being actively conducted mainly for the baby boomer generation and older generation. There is not much research on various ages that will be needed continuously in elderly housing and aging in place in the future. Therefore, this study suggests aging in place of urban elderly housing through analysis of urban preference of all ages. Method: An analysis of prior studies related to elderly housing, Field interpretation about Aging in Place, An analysis of the city preference through the survey of the elderly, Existing Literature Survey, Housing Survey, Future Population Projection, Survey of the elderly and confirmed the necessity of the Aging in Place of urban elderly housing. Result: As there are many generations living in the city and many people prefer it, studies on urban elderly housing should be actively conducted and should be studied as Aging in Place that can be used for all ages. In addition, it is necessary to study the advantages and disadvantages of using Aging in Place in the city through domestic or overseas case analysis.

• 대한지역사회영양학회지
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• 제24권1호
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• pp.60-76
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• 2019

Objectives: The purpose of this study was to develop a systematic and standardized "The Survey on School Foodservice Program" that can identify the current status of school meals on the nationwide level. Methods: This study was carried out in six steps of the analysis of report/investigation data related to school foodservice in metropolitan and provincial offices of education, analysis of preceding research related to the actual status of school foodservice, field verification of the actual condition of the school foodservice site, development of a draft of "The Survey on School Foodservice Program", pilot study of a draft of "The Survey on School Foodservice Program", and suggestions of a final model of "The Survey on School Foodservice Program" from August to December, 2017. Statistical analysis was performed for frequency analysis and descriptive analysis using the SPSS program ver. 23. Results: A draft of "The Survey on School Foodservice Program" was developed by analyzing the current status of report/research data on school meals in metropolitan and provincial offices of education, analyzing the preceding research on school meals, and identifying the actual conditions at school foodservice sites. To verify the validity of the school foodservice survey questionnaire, 1,031 schools were sampled from a total of 10,251 schools and the pilot test of '2017 School Foodservice Survey' was conducted. The final model of "The Survey on School Foodservice Program" consisted of 12 survey sections, 29 survey categories, and 433 survey items, and the survey cycle was set for one year and three years for each survey item. Conclusions: Based on the objective statistical data through "The Survey on School Foodservice Program", it is possible to develop the school foodservice policy, which will help establish the reliability of the school meals.