• 유통과학연구
• /
• 제13권9호
• /
• pp.103-112
• /
• 2015

Purpose - This paper aims to provide a step-by-step approach to factor analytic procedures, such as principal component analysis (PCA) and exploratory factor analysis (EFA), and to offer a guideline for factor analysis. Authors have argued that the results of PCA and EFA are substantially similar. Additionally, they assert that PCA is a more appropriate technique for factor analysis because PCA produces easily interpreted results that are likely to be the basis of better decisions. For these reasons, many researchers have used PCA as a technique instead of EFA. However, these techniques are clearly different. PCA should be used for data reduction. On the other hand, EFA has been tailored to identify any underlying factor structure, a set of measured variables that cause the manifest variables to covary. Thus, it is needed for a guideline and for procedures to use in factor analysis. To date, however, these two techniques have been indiscriminately misused. Research design, data, and methodology - This research conducted a literature review. For this, we summarized the meaningful and consistent arguments and drew up guidelines and suggested procedures for rigorous EFA. Results - PCA can be used instead of common factor analysis when all measured variables have high communality. However, common factor analysis is recommended for EFA. First, researchers should evaluate the sample size and check for sampling adequacy before conducting factor analysis. If these conditions are not satisfied, then the next steps cannot be followed. Sample size must be at least 100 with communality above 0.5 and a minimum subject to item ratio of at least 5:1, with a minimum of five items in EFA. Next, Bartlett's sphericity test and the Kaiser-Mayer-Olkin (KMO) measure should be assessed for sampling adequacy. The chi-square value for Bartlett's test should be significant. In addition, a KMO of more than 0.8 is recommended. The next step is to conduct a factor analysis. The analysis is composed of three stages. The first stage determines a rotation technique. Generally, ML or PAF will suggest to researchers the best results. Selection of one of the two techniques heavily hinges on data normality. ML requires normally distributed data; on the other hand, PAF does not. The second step is associated with determining the number of factors to retain in the EFA. The best way to determine the number of factors to retain is to apply three methods including eigenvalues greater than 1.0, the scree plot test, and the variance extracted. The last step is to select one of two rotation methods: orthogonal or oblique. If the research suggests some variables that are correlated to each other, then the oblique method should be selected for factor rotation because the method assumes all factors are correlated in the research. If not, the orthogonal method is possible for factor rotation. Conclusions - Recommendations are offered for the best factor analytic practice for empirical research.

• Safety and Health at Work
• /
• 제11권1호
• /
• pp.1-9
• /
• 2020

Background: As the impact of climate change intensifies, exposure to heat stress will grow, leading to a loss of work capacity for vulnerable occupations and affecting individual labor decisions. This study estimates the future work capacity under the Representative Concentration Pathways 8.5 scenario and discusses its regional impacts on the occupational structure in the Republic of Korea. Methods: The data utilized for this study constitute the local wet bulb globe temperature from the Korea Meteorological Administration and information from the Korean Working Condition Survey from the Occupational Safety and Health Research Institute of Korea. Using these data, we classify the occupations vulnerable to heat stress and estimate future changes in work capacity at the local scale, considering the occupational structure. We then identify the spatial cluster of diminishing work capacity using exploratory spatial data analysis. Results: Our findings indicate that 52 occupations are at risk of heat stress, including machine operators and elementary laborers working in the construction, welding, metal, and mining industries. Moreover, spatial clusters with diminished work capacity appear in southwest Korea. Conclusion: Although previous studies investigated the work capacity associated with heat stress in terms of climatic impact, this study quantifies the local impacts due to the global risk of climate change. The results suggest the need for mainstreaming an adaptation policy related to work capacity in regional development strategies.

• 한국체육학회지인문사회과학편
• /
• 제56권4호
• /
• pp.397-413
• /
• 2017

본 연구의 목적은 4차 산업혁명의 스포츠 현장 적용을 위한 탐색적 연구를 통하여 스포츠 업계 종사자들이 소셜 빅데이터를 직접 다루고 활용하기 위한 사례를 소개하고, 관련 정보를 제공하는 것이다. 수집된 문헌은 국내 외 학술 DB로부터 '소셜 빅데이터', '스포츠'와 관련된 문헌 302편이며, 분석된 문헌은 86편(국내 28편, 국외 58편)이다. 연구 결과, 스포츠산업 분야에 적용 가능한 소셜 빅데이터 분석 연구는 1) 스포츠 팬들의 관심사 및 스포츠 이벤트에 대한 주요 이슈 분석, 2) 미디어스포츠 인게이지먼트 연구, 3) 사용자 감성을 이용한 경기 승패 예측, 4) 프로선수 연봉 산정 모델 개발, 5) 연구동향 분석 등이 될 수 있다. 결론적으로, 스포츠산업 경영 분야에서 소셜 빅데이터 분석 기술은 다양하게 활용될 수 있기 때문에, 스포츠 업계 종사자들이 소셜 빅데이터 분석 기술을 직접 다루고 이를 활용하기 위해서는 IT기술에 대한 선행 학습, 연구수행을 통한 노하우 습득, 그리고 융합적인 사고의 전환이 필요하다.

• Journal of the Korean Data and Information Science Society
• /
• 제25권1호
• /
• pp.119-130
• /
• 2014

본 연구는 국립환경과학원의 물환경정보시스템에서 제공한 자료를 사용하였다. 자료는 낙동강 본류 (낙본, nb)의 수질측정소 A지역에서 측정소 N지역까지 2003년 1월부터 2013년 8월까지 측정한 월별 수질데이터를 이용하였다. 생물학적 산소요구량 BOD (biological oxygen demand)의 통계학적 수질분석은 월별, 연도별, 지역별로 R 프로그래밍을 이용하여 구체화 하였다. 낙본지역 측정소들의 BOD에 대하여 탐색적 자료분석 (exploratory data analysis) 방법과 비모수 회귀분석방법 중 하나인 Lowess (locally weighted scatter plot smoother) 경향분석법을 이용하여 장기수질경향과 지역별 수질분포의 현황을 분석하였다. 그리고 특이점 (outlier)이 가장 많이 발생하는 시기와 낙본 측정지역들을 분석하였다. 그 결과 낙본하류지역인 부산광역시 강서구 명지동 측정소 nbM의 BOD 수질환경 보다 낙본중류지역인 대구광역시 달성군 구지면의 측정소 nbG와 경상남도 창원시의 측정소 nbI 지역의 수질오염이 보다 심각한 문제점들이 있는 것으로 나타난다.

• Nutrition Research and Practice
• /
• 제16권4호
• /
• pp.517-526
• /
• 2022

BACKGROUND/OBJECTIVES: The increased consumers' interests in health and food safety have increased the demand for organic foods. Many studies have been performed on consumers' purchase intentions for organic foods and their influencing factors, and various studies have shown that the prices of organic foods and the consumers' willingness to pay are important influencing factors. This study examined the payment value of organic foods and agrifood consumer competency index according to the food-related lifestyles in South Korean consumers. SUBJECTS/METHODS: A cross-sectional analysis was performed using the 2019 Consumer Behavior Survey for Food. A total of 6,176 participants aged 19 to 74 years (male: 2,783, female: 3,393) were included in the analysis. RESULTS: Three factors were extracted by factor analysis (rational consumption-seeking type, convenience-seeking type, and health, and safety-seeking type) to explain the consumers' food-related lifestyles. The results of cluster analysis suggested that consumers were classified into 3 food-related lifestyles as the 'exploratory consumers' (n = 2,485), 'safety-seeking consumers' (n = 1,544), and 'passive consumers' (n = 2,147). Exploratory consumers showed a significantly higher willingness to pay for imported organic foods (P < 0.05). Safety-seeking consumers had a significantly higher willingness to pay for domestic organic foods (P < 0.05). For the agrifood consumer competency index, exploratory consumers had the highest score, followed in order by safety-seeking consumers and passive consumers. CONCLUSIONS: These results provide basic data in understanding consumption tendency for organic foods and agrifoods based on food-related lifestyles of South Korean consumers.

• 디지털산업정보학회논문지
• /
• 제8권4호
• /
• pp.205-215
• /
• 2012

Due to a rapid change of business environment, many firms are eager to find the competitiveness by information technology adoption and diffusion. In this exploratory study, we examined the applicability of a previously proposed model to evaluate IT competitiveness based on the innovativeness and verified it's propriety with empirical data. As suggested by previous studies, the proposed model considers a variety of corporate and market characteristics concerned with IT adoption, and it consists of several internal and external impacting factors, which have influence on technology diffusion and its performance. For the empirical analysis, the survey data of domestic ERP adoption cases were adopted from 128 small and medium-sized enterprises(: SMEs) in IT and electrical engineering industry, and analyzed by partial least squares(: PLS) - a popular structural modeling and multivariate projection technique to latent variables. The results indicated positive supports for the research model of external and internal IT adoption factors' influences on innovativeness' performances. However, there are a couple of limitations not to show the reliability of selected measurement items and the generality of model proposed in this exploratory study.

• 수산해양교육연구
• /
• 제18권3호
• /
• pp.283-292
• /
• 2006

The purpose of this study was to explore the component factors on images of good elementary teacher. 579 elementary teachers in Busan were sampled to be surveyed. The subjects answered open-ended questionnaire related to characteristics of good teacher. The number of items obtained from the questionnaire is 79. The exploratory factor analysis was applied to the data. As a result of exploratory factor analysis, the components of good teacher are classified into five factors : fairness, enthusiasm, commitment, warmth, self-management. All such factors might be related to the personality in common. It shows that teachers think the personality important as a characteristic of good teacher. On the basis of this result we offer a suggestion to the teacher education.

• 대한간호학회지
• /
• 제48권1호
• /
• pp.70-84
• /
• 2018

Purpose: This study was conducted to evaluate the validity and reliability of the Korean version of the clinical learning environment, supervision and nurse teacher evaluation scale (CLES+T) that measures the clinical learning environment and the conditions associated with supervision and nurse teachers. Methods: The English CLES+T was translated into Korean with forward and back translation. Survey data were collected from 434 nursing students who had more than four days of clinical practice in Korean hospitals. Internal consistency reliability and construct validity using confirmatory and exploratory factor analysis were conducted. SPSS 20.0 and AMOS 22.0 programs were used for data analysis. Results: The exploratory factor analysis revealed seven factors for the thirty three-item scale. Confirmatory factor analysis supported good convergent and discriminant validities. The Cronbach's alpha for the overall scale was .94 and for the seven subscales ranged from .78 to .94. Conclusion: The findings suggest that the 33-items Korean CLES+T is an appropriate instrument to measure Korean nursing students'clinical learning environment with good validity and reliability.

• 여성건강간호학회지
• /
• 제24권1호
• /
• pp.33-48
• /
• 2018

Purpose: The purpose of this study was to develop a scale to evaluate parenting stress of international marriage immigrant women from Vietnam and the Philippines. Methods: The concept of parenting stress of international marriage immigrant women was analysed with a hybrid model. Data were collected from 273 international marriage immigrant women from Vietnam and the Philippines who were raising their children aged 1 to 6 years. These collected data were subjected to exploratory factor analysis, multitrait/multi-item matrix assessment, Pearson correlation coefficient analysis, and Cronbach's alpha internal consistency measurement. Results: The final instrument consisted of 28 items. The following six factors were extracted by exploratory factor analysis: 'insufficiency of parenting support system', 'role burden of mothers', 'maladjustment of children', 'confusion of parenting methods due to cultural differences', 'unskilled Korean communication', and 'ordinary difficulties'. Construct validity (factor analysis, convergent validity, and discriminant validity) and criterion-related validity were confirmed. Cronbach's ${\alpha}$ value of total items was .92(95% CI .91-.94). Cronbach's ${\alpha}$ of values for these factors ranged from .76 to .85. Conclusion: The parenting stress scale for international marriage immigrant women is a valid and reliable tool.

• 유통과학연구
• /
• 제20권2호
• /
• pp.101-108
• /
• 2022

Purpose: In this logistics disturbance period, this study conducts research of distribution and logistics firms in Korea. The purpose of this exploratory research is to analyze global competitive capability influence on business performance. And give managerial implications and contribute to academics. Research design, data, and methodology: This research empirically analyzes the relationship between global competitive capability and business performance. As for business performance this research considered non-financial performance and measured with business performance fulfillment. As for antecedent variables, this research measured three global competitive capability constructs; preparation, utilization, intensive capability. And each construct includes two capability concepts. This study used 2,316 executing direct export distribution and logistics industry firmsfrom KOTRA's GCL data. This research used frequency analysis, reliability analysis, correlation analysis, and step-wise regression analysis by SPSS26. Results: The result shows that all the variables except export infra showed statistically significant. As results show, mid/long strategy & global mind of preparation capability, both communication and marketing of utilization capability and market strategy and product/goods/service of intensive capability give a positive influence on business performance fulfillment. Conclusions: Based on the results, this research provide implication for practical management, contribution to academic, and suggestion for feature research.