• 제목/요약/키워드: data analysis: surveys

검색결과 1,343건 처리시간 0.029초

양면적 패션소비성향이 지속적 정보탐색과 패션점포선택에 미치는 영향 (The Effect of Ambivalent Fashion Consuming Tendency on Continuous Information Search and Fashion Store Selection)

  • 김주희
    • 한국생활과학회지
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    • 제24권4호
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    • pp.571-586
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    • 2015
  • This study examined the effect of ambivalent fashion consuming tendency on continuous information search and fashion store selection. Surveys period was from Jan. 8th to Jan. 20th in 2014. The subjects of this study were the young 218 women who had the shopping experiences with ambivalent fashion consuming tendency in their 20s of Pusan and Kyung-nam. These surveys referred to the relevant preceding researches and were completed by some pilot researches (focus group interview, paper-pencil test). The data was analyzed by frequency analysis, reliability analysis (Cronbach's ${\alpha}$), factor analysis and regression analysis. The main results of this study were summarized like following: First, this study was based on the definition and characteristics of the ambivalent fashion consuming tendency. The current ambivalent fashion consuming tendency consisted of price ambivalence, trend ambivalence and brand ambivalence. The consumer's demographic characteristics affected trend ambivalence, brand ambivalence. Second, continuous information search was composed of entertaining information search and rational information search. Third, ambivalence fashion consuming tendency had a strong influence on continuous information search (information search and share activity). Forth, the price ambivalence, trend ambivalence and brand ambivalence, which is the factors of ambivalent fashion consuming tendency, significantly impacted on selecting the fashion store. In conclusion, ambivalent fashion consuming tendency is main related factor impacting on continuous information search and fashion store selection.

The Effects of industrial workers' food choice attribute on sugar intake pattern and job satisfaction with Structural Equcation Model

  • Park, Young Il;Joo, Nami
    • Nutrition Research and Practice
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    • 제10권4호
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    • pp.464-470
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    • 2016
  • BACKGROUND/OBJECTIVES: This research analyzes the effects of the food choices of industrial workers according to their sugar intake pattern on their job satisfaction through the construction of a model on the relationship between sugar intake pattern and job satisfaction. SUBJECTS/METHODS: Surveys were collected from May to July 2015. A statistical analysis of the 775 surveys from Kyungsangnam-do was conducted using SPSS13.0 for Windows and SEM was performed using the AMOS 5.0 statistics package. RESULTS: The reliability of the data was confirmed by an exploratory factor analysis through a Cronbach's alpha coefficient, and the measurement model was proven to be appropriate by a confirmatory factor analysis in conjunction with AMOS. The results of factor analysis on food choice, sugar intake pattern and job satisfaction were categorized into five categories. The reliability of these findings was supported by a Cronbach's alpha coefficient of 0.6 and higher for all factors except confection (0.516) and dairy products (0.570). The multicollinearity results did not indicate a problem between the variables since the highest correlation coefficient was 0.494 (P < 0.01). In an attempt to study the sugar intake pattern in accordance with the food choices and job satisfaction of industrial workers, a structural equation model was constructed and analyzed. CONCLUSIONS: All tests confirmed that the model satisfied the recommended levels for the goodness of fit index, and thus, the overall research model was proven to be appropriate.

학술정보사이트의 이용자 참여형 평가 (User Participation Evaluation of A Scholarly Information Site)

  • 박민수
    • 정보관리학회지
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    • 제28권4호
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    • pp.85-97
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    • 2011
  • 본 연구의 목적은 과학기술분야 학술정보사이트의 이용자 참여형 평가 방법론을 개발 및 적용시킴으로써 평가사이트를 개선시키는 데 있다. 실험은 통제된 환경에서 이루어졌다. 아이트랙킹, 검색로그, 설문지를 통해 수집한 데이터는 정량적으로 분석하였다. 아이트랙킹 데이터 분석 결과를 토대로, 평가사이트상에서 불필요한 항목을 제거하였고 콘텐츠와 이미지들을 재배열하였다. 검색로그 데이터는 시스템의 효율성이 증가하였음을 보여주고 있다. 설문지 데이터 분석 결과 또한 시스템이 전반적으로 개선하였음을 보여준다.

The Effects of E-marketing Communications on Brand Loyalty: The Case of Mobile Telephone Operators in Kosovo

  • MULLATAHIRI, Vjosa;UKAJ, Fatos
    • 유통과학연구
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    • 제17권6호
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    • pp.15-23
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    • 2019
  • Purpose - This study evaluates the effects of e-marketing communication on brand loyalty in the mobile communication market in Kosovo. given that no prior studies of this nature are found. It explores the relationships, between e-marketing communication, brand image and customer satisfaction, and their impact on the brand loyalty. Research design, data, and methodology - The research model of four constructs was developed. The data was collected via online surveys, 423 completed surveys from mobile subscribers were received. To test the relationship between the individual variables and multiple variables with the dependent variable several test were performed including data validity and reliability, bivariate correlation, simple linear and multiple regression analysis using stepwise method. Results - Positive significant effect of e-Marketing communication on brand loyalty, as well its significant effect on both brand image and customer satisfaction, which subsequently have significant impact on brand loyalty as it was confirmed by previous studies. Conclusions - The findings confirm that e-Marketing communication is key factor in building well perceived brand image, fostering customer satisfaction, and leading to customer commitment and loyalty towards brands of mobile operators in Kosovo.

코로나19 팬데믹 전후 청소년 대사증후군 유병률과 위험요인의 변화: 2018년과 2020년도 국민건강영양조사를 이용한 2차 자료분석 (Changes in the Prevalence of Metabolic Syndrome and its Risk factors in Korean Adolescents before and during the COVID-19 Pandemic: Secondary Data Analysis of the 2018 and 2020 Korea National Health and Nutrition Examination Surveys)

  • 권민;남은정;이진화
    • 한국학교보건학회지
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    • 제35권2호
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    • pp.49-56
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    • 2022
  • Purpose: The purpose of the study was to investigate the changes in the prevalence of metabolic syndrome and its risk factors in Korean adolescents before and during the COVID-19 pandemic. Methods: The study employed a descriptive cross-sectional design. Data were obtained from the 2018 and 2020 Korea National Health and Nutrition Examination Surveys. Out of a total of 15,351 participants in the surveys, 971 adolescents aged 12 to 18 years were included. The data were analyzed using the rao-scott 𝝌2 test and t-test. Results: There was no significant difference in the prevalence of adolescent metabolic syndrome before and after the outbreak of COVID-19. As for general characteristics, changes in high blood pressure were confirmed from waist circumference, diastolic blood pressure, and metabolic syndrome risk factors. When analyzing the general characteristics according to gender, there were significant differences in waist circumference and diastolic blood pressure in boys. Concerning the risk factors for metabolic syndrome, there was a significant difference in high blood pressure in both boys and girls and in abdominal obesity in girls. Conclusion: Hypertension and abdominal obesity, which are risk factors for metabolic syndrome, should be managed by including them in the school health area. Communities and schools should take an active role in preparing the youth for healthy adulthood.

국민건강영양조사 자료의 복합표본설계효과와 통계적 추론 (Complex sample design effects and inference for Korea National Health and Nutrition Examination Survey data)

  • 정진은
    • 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.

산림복원 평가지표를 활용한 산림 훼손지 우선복원대상지 발굴 - 강원도 지역을 대상으로 - (Identification of Priority Restoration Areas for Forest Damage Sites Using Forest Restoration Evaluation Indicators in Gangwon-Do)

  • 박윤선;송정은;박천희
    • 한국환경복원기술학회지
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    • 제27권1호
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    • pp.17-29
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    • 2024
  • This study was conducted to select the restoration priority of forest damage sites in Gangwon Province. We first identified the status of damaged areas. We then selected restoration evaluation indicators through a literature review. We then set weights for these indicators through expert surveys. We next acquired data that can represent these indicators and spatially mapped them. Finally, we prioritized the restoration target sites by taking the weights. The results of the study showed that disaster sensitivity and ecologicality are important criteria for selecting the restoration priority of damage sites. The analysis showed that damage sites in Doam, Jeongseon, Samcheok and Inje are in urgent need of restoration. The results of this study are significant in that they selected the restoration priority of damage sites in Gangwon Province based on the restoration priority evaluation criteria selected based on expert surveys. However, the priority restoration areas derived from the results of this study are not actually implementing restoration projects at present. Therefore, it is judged that it would be efficient in various aspects to establish the restoration priority area based on scientific analysis techniques and carry out the project for efficient implementation of the restoration project. In this study, it can be pointed out that the priority of restoration of damage sites was derived based on data from the past due to the limitation of data acquisition. However, the fact that the priority restoration area inferred based on past data has been restored over time has improved the reliability of the study by verifying the usefulness of the priority extraction technique. In the future, if the priority of damage sites is extracted by extracting the restoration target area boundary through the latest data based on the methodology applied in this study, it is considered that it will be available as a result that can be applied to the field.

통계적 문제해결 교육의 관점에 따른 초등학교 수학 교과서의 자료 수집 지도 방식 분석: 3~4학년군을 중심으로 (An Analysis on Teaching of Data Collection in Elementary School Mathematics Textbooks for 3rd and 4th Grades from the Perspective of Statistical Problem Solving Education)

  • 탁병주;고은성
    • 한국수학교육학회지시리즈C:초등수학교육
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    • 제25권4호
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    • pp.329-341
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    • 2022
  • 통계적 문제해결 과정에서 자료 수집은 통계 정보의 질을 결정하는 중요한 절차이지만, 우리나라의 수학과 교육과정에서는 자료 수집이 다소 소홀하게 다루어져 왔다. 이에 본 연구에서는 초등학교 3~4학년 수학 교과서(국정 1종, 검정 10종)의 통계 단원에서 사용되는 자료의 수집 방법은 어떠한지, 그리고 통계 단원을 통해 자료 수집 방법을 어떻게 지도하고 있는지를 분석하였다. 연구 결과, 교과서에서 사용하고 있는 자료들은 설문조사, 실험/관찰, 문헌조사 등 다양한 방법으로 수집된 것들이었으나, 교과서에서 지도하고 있는 자료 수집 방법 중 실험/관찰의 비중은 매우 낮게 나타났다. 또한, 교과서별로 자료 수집 방법 지도 방식이 다르게 나타남으로 인해 학생들이 경험, 학습하게 되는 내용에 차이가 발생할 수 있음을 확인하였다. 이러한 결과를 바탕으로 초등학교 통계교육에서 자료 수집 방법을 효과적으로 지도할 수 있도록 수학과 교육과정 개선 방안을 모색하기 위한 논의점을 도출하였다.

보행행태조사방법론의 변화와 모바일 빅데이터의 가능성 진단 연구 - 보행환경 분석연구 최근 사례를 중심으로 - (Changes in Measuring Methods of Walking Behavior and the Potentials of Mobile Big Data in Recent Walkability Researches)

  • 김현주;박소현;이선재
    • 대한건축학회논문집:계획계
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    • 제35권1호
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    • pp.19-28
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    • 2019
  • The purpose of this study is to evaluate the walking behavior analysis methodology used in the previous studies, paying attention to the demand for empirical data collecting for urban and neighborhood planning. The preceding researches are divided into (1)Recording, (2) Surveys, (3)Statistical data, (4)Global positioning system (GPS) devices, and (5)Mobile Big Data analysis. Next, we analyze the precedent research and identify the changes of the walkability research. (1)being required empirical data on the actual walking and moving patterns of people, (2)beginning to be measured micro-walking behaviors such as actual route, walking facilities, detour, walking area. In addition, according to the trend of research, it is analyzed that the use of GPS device and the mobile big data are newly emerged. Finally, we analyze pedestrian data based on mobile big data in terms of 'application' and distinguishing it from existing survey methodology. We present the possibility of mobile big data. (1)Improvement of human, temporal and spatial constraints of data collection, (2)Improvement of inaccuracy of collected data, (3)Improvement of subjective intervention in data collection and preprocessing, (4)Expandability of walking environment research.

I-E-O 모형에 근거한 의학교육 종단자료 구축을 위한 모형 설계 (Design of a Model to Structure Longitudinal Data for Medical Education Based on the I-E-O Model)

  • 정한나;이이레;김혜원;안신기
    • 의학교육논단
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    • 제24권2호
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    • pp.156-171
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    • 2022
  • The purpose of this study was to establish a model for constructing longitudinal data for medical school, and to structure cohort and longitudinal data using data from Yonsei University College of Medicine (YUCM) according to the established input-environment-output (I-E-O) model. The study was conducted according to the following procedure. First, the data that YUCM has collected was reviewed through data analysis and interviews with the person in charge of each questionnaire. Second, the opinions of experts on the validity of the I-E-O model were collected through the first expert consultation, and as a result, a model was established for each stage of medical education based on the I-E-O model. Finally, in order to further materialize and refine the previously established model for each stage of medical education, secondary expert consultation was conducted. As a result, the survey areas and time period for collecting longitudinal data were organized according to the model for each stage of medical education, and an example of the YUCM cohort constructed according to the established model for each stage of medical education was presented. The results derived from this study constitute a basic step toward building data from universities in longitudinal form, and if longitudinal data are actually constructed through this method, they could be used as an important basis for determining major policies or reorganizing the curricula of universities. These research results have implications in terms of the management and utilization of existing survey data, the composition of cohorts, and longitudinal studies for many medical schools that are conducting surveys in various areas targeting students, such as lecture evaluation and satisfaction surveys.