• 제목/요약/키워드: Statistical correlation analysis

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외식업체의 직원이 제공하는 서비스 품질에 영향을 미치는 요인 분석 (Analysis of the Service Quality Provided by Foodserice Workers in Restaurants)

  • 양일선;김성혜;김동훈
    • 대한지역사회영양학회지
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    • 제4권3호
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    • pp.454-465
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    • 1999
  • Consistently delivering good service quality is a complex and dynamic process. In this matter, service differs from tangible products and is highly dependent on the business and service provider. Therefore, efficiently managing the process of delivering service quality can contribute to profits for organization and satisfaction to customers. This study was performed to define service quality, and to investigate the personal and operational characteristics that impacts the service quality provided by foodservice provider. The responses from 278 foodservice providers and 427 customers in 82 fast-food and family restaurants were used in this analysis. Descriptive, Factor Analysis, T-test, ANOVA, and Correlation Analysis were used for statistical Analysis. The Results of this study were as follows : 1) The perception of foodservice provider was significantly higher than that of the customers in most of the 21 service quality attributes. 2) The 6 dimensions derived from Factor Analysis explained 56.8% for service quality. 3) Among the personal characteristics of the foodservice provider, the level of education and the position in the job led to a significant difference in some of the service qualities. 4) The type of restaurant played an important role in foodservice providers'perception of service quality. 5) Month since opening had a negative correlation with 'Atmosphere' and a positive correlation with 'Reputation', while the number of seats showed a positive correlation with 'Atmosphere' and a negative correlation with 'Food'and 'Convenience'. 6) In general, the characteristics of sales had a positive correlation with service quality. 7) The proportion of part-time employees showed a negative correlation with 'Atmosphere' and 'Food', and a positive correlation with 'Reputation'.

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청각장애 아동의 청능발달과 언어발달간의 상관관계 연구 (The Study for Correlation Among Auditory Development and Language Development of Children with Hearing Impairment)

  • 박상희;권영주
    • 음성과학
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    • 제10권4호
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    • pp.255-261
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    • 2003
  • The purpose of this study was to investigate correlation of auditory development and language development of children with hearing impairment Eighteen subjects with severe or profound hearing loss participated in this study. They were 22-to 55-month-olds who had hearing parents with no additional disabling conditions. The test material was the Meaningful Auditory Integration Scale (MAIS) and MacArthur Communicative Development Inventory-Korea (MCDI-K). A Pearson Correlation Coefficient was determined through a statistical analysis. The results followed as; firstly there was a strong correlation between auditory development and receptive language development. Secondly, there was a strong correlation between receptive language development and expressive language development. Finally, there was a strong correlation between auditory development and education onset time. Therefore, auditory training is important method for auditory rehabilitation and education onset time is important variation for auditory development.

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독립성분 분석을 이용한 번호판 숫자 인식 (Recognition of Numeric Characters in License Plate based on Independent Component Analysis)

  • 정병준;강현철
    • 대한전자공학회논문지SP
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    • 제46권2호
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    • pp.99-107
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    • 2009
  • 본 논문에서는 자동차 번호판 숫자의 특징을 추출하기 위해 강화된 독립성분분석(independent component analysis)의 혼합모델을 제안한다 독립성분분석은 고차 통계적 특성만을 이용하기 때문에 고차 통계적 특성과 숫자 종류별 상관관계에 대한 특성을 고려하지 못한다. 이러한 독립성분분석의 한계를 극복하기 위해, 본 논문에서는 주성분분석(principle component analysis)과 선형판별분석(linear discriminant analysis)을 조합한 혼합 모델 형태의 독립성분분석을 제안한다. 실험 결과, 제안된 혼합 모델은 독립성분분석이나 다른 혼합 모델들보다 특징 추출과 인식에서 우수한 성능을 보임을 확인하였다.

베이지안 네트워크를 이용한 다차원 범주형 분석 (Multi-dimension Categorical Data with Bayesian Network)

  • 김용철
    • 한국정보전자통신기술학회논문지
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    • 제11권2호
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    • pp.169-174
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    • 2018
  • 일반적으로 자료의 효과 연속형인 경우 분산분석과 이산형인 경우 분할표 카이제곱 검정을 통계적 분석방법으로 사용한다. 다차원의 자료에서는 계층적 구조의 분석이 요구되어지며 자료간의 인과관계를 나타내기 위해 통계적 선형모형을 채택하여 분석한다. 선형모형의 구조에서는 자료의 정규성이 요구되어지며 일부 자료에서는 비 선형모형을 채택할 수도 있다. 특히, 설문조사 자료 구조는 문항의 특성상 이산형 자료의 형태가 많아 모형의 조건에 만족하지 않는 경우가 종종 발생한다. 자료구조의 차원이 높아질수록 인과관계, 교호작용, 연관성분석 등에 다차원 범주형 자료 분석 방법을 사용한다. 본 논문에서는 확률분포의 계산을 이용한 베이지안 네트워크 모형이 범주형 자료 분석에서 분석절차를 줄이고 교호작용 및 인과관계를 분석할 수 있다는 것을 제시하였다.

필댐의 안전관리를 위한 주요 계측 데이터의 최적 분석기법에 대한 사례 연구 (A case study on an optimal analysis technique of primary measurements for safety management of fill dam)

  • 전현철;윤성규;김지성;임은상;강기천
    • 한국수자원학회논문집
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    • 제54권spc1호
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    • pp.1155-1166
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    • 2021
  • 본 연구에서는 필댐의 주요계측기인 침투수량계, 정상침하계, 간극수압계의 최적 분석기법을 제안하기 위해 통계분석을 수행하였고, 이와 더불어 저수위, 강우량 데이터와의 상관관계 분석을 수행하였다. 계측기별 기술통계 분석 결과를 토대로 간극수압계는 주성분 분석을 통해 3그룹 또는 2그룹으로 분류가 가능하였고, 저수위가 상관성이 큰 그룹의 경우는 계측기 간의 상관성도 크게 나타났다. 침투수량의 경우는 극심한 비대칭 분포를 보이고 있어 정량적 분석을 위해 분류나무 분석을 통해 무강수, 강수시의 평균 침투수량을 추정할 수 있었다. 정상침하계의 경우는 상관분석 결과 계측기간의 상관성은 큰 것으로 나타났지만, 저수위계와의 관계에서는 유의미한 선형관계를 나타내지 못하여 이를 보다 상세히 분석하기 위해 EMD분석을 수행 하였다. 필댐의 주요 계측항목으로 간극수압계, 침투수량계, 정상침하계의 거동분석을 위해서는 각각 주성분 분석, 분류나무 분석, 데이터 필터 기법을 적용이 가능할 것으로 판단되며, 향후 유사한 계측항목에 적용이 가능할 것으로 판단된다.

학령기 정상 아동의 호흡 특성과 신체 조건에 관한 상관분석 (Analysis of Correlation between Respiratory Characteristics and Physical Factors in Healthy Elementary School Childhood)

  • 이혜영;강동연;김경
    • The Journal of Korean Physical Therapy
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    • 제25권5호
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    • pp.330-336
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    • 2013
  • Purpose: Respiratory is an essential vital component for conservation of life in human, which is controlled by respiratory muscles and its related neuromuscular regulation. The purpose of this study is to assess lung capacity and respiratory pressure in healthy children, and to investigate relationship and predictability between respiratory pressure and other related respiratory functions. Methods: A total of 31 healthy children were recruited for this study. Demographic information and respiratory related factors were assessed in terms of body surface area (BSA), chest mobility, lung capacity, and respiratory pressure. Correlation between respiratory pressure and the rested variables was analyzed, and multiple regression using the stepwise method was performed for prediction of respiratory muscle strength, in terms of respiratory pressure as the dependent variable, and demographic and other respiratory variables as the independent variable. Results: According to the results of correlation analysis, respiratory pressure showed significant correlation with age (r=0.62, p<0.01), BSA (r=0.80, p<0.01), FVC (r=0.80, p<0.01), and FEV1 (r=0.70, p<0.01). In results of multiple regression analysis using the backward elimination method, BSA and FVC were included as significant factors of the predictable statistical model. The statistical model showed a significant explanation power of 71.8%. Conclusion: These findings suggest that respiratory pressure could be a valuable measurement tool for evaluation of respiratory function, because of significant relationship with physical characteristics and lung capacity, and that BSA and FVC could be possible predictable factors to explain the degree of respiratory pressure. These findings will provide useful information for clinical assessment and treatment in healthy children as well as those with pulmonary disease.

일부지역 임상치과위생사의 전문직 자아개념과 조직사회화의 상관관계 (Correlation between the self-concept of clinical dental hygiene professionals and organizational socialization)

  • 이혜경
    • 한국치위생학회지
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    • 제17권2호
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    • pp.259-269
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    • 2017
  • Objectives: The purpose of this study was to review the correlation between self-concept and organization of socialization in professional settings among dental hygienists. Methods: Statistical analysis was carried out on the collected data to identify any correlation between frequency and percentages. Cronbach's alpha value and one-way ANOVA were conducted. SPSS 12.0 was used to conduct a correlation analysis on self-concept and socialization in professional settings. Validity of the research tools was also confirmed. Results: There was a correlation between the identity and job satisfaction, with the figures showing great variance. Satisfaction was correlated with the nature of the corporation and job performance. In addition, communication had a negative correlation between job characteristics and identities, job performance, while, organizational commitment and positive correlation showed a statistically significant difference. Conclusions: The study reviewed the impact on organizational socialization. The dental hygienist is believed to be on going research into developing more effective and systematic training programs so that they can be effectively socialized society organizations to improve the professional self-concept.

Correlation Analysis of Atmospheric Pollutants and Meteorological Factors Based on Environmental Big Data

  • Chao, Chen;Min, Byung-Won
    • International Journal of Contents
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    • 제18권1호
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    • pp.17-26
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    • 2022
  • With the acceleration of urbanization and industrialization, air pollution has become increasingly serious, and the pollution control situation is not optimistic. Climate change has become a major global challenge faced by mankind. To actively respond to climate change, China has proposed carbon peak and carbon neutral goals. However, atmospheric pollutants and meteorological factors that affect air quality are complex and changeable, and the complex relationship and correlation between them must be further clarified. This paper uses China's 2013-2018 high-resolution air pollution reanalysis open data set, as well as statistical methods of the Pearson Correlation Coefficient (PCC) to calculate and visualize the design and analysis of environmental monitoring big data, which is intuitive and it quickly demonstrated the correlation between pollutants and meteorological factors in the temporal and spatial sequence, and provided convenience for environmental management departments to use air quality routine monitoring data to enable dynamic decision-making, and promote global climate governance. The experimental results show that, apart from ozone, which is negatively correlated, the other pollutants are positively correlated; meteorological factors have a greater impact on pollutants, temperature and pollutants are negatively correlated, air pressure is positively correlated, and the correlation between humidity is insignificant. The wind speed has a significant negative correlation with the six pollutants, which has a greater impact on the diffusion of pollutants.

자궁근종, 자궁선근증, 자궁내막증 환자 55명의 스트레스 정도와 어혈증(瘀血證) 연구 (A Study on Stress and Blood Stasis Pattern for 55 Uterine Myoma, Adenomyosis, Endometriosis Patients)

  • 조준영;이창훈;조정훈;장준복;이경섭;이진무
    • 대한한방부인과학회지
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    • 제23권4호
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    • pp.130-145
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    • 2010
  • Purpose: The purpose of this study is to know stress and blood stasis pattern for the patients who had hysterectomy related with uterine myoma, adenomyosis, endometriosis. Methods: We got questionnaires from 55 patients among 243 patients who had hysterectomy related with uterine myoma, adenomyosis, endometriosis in the department of obstetrics and gynecology, OO medical center from April 11th 2010 to October 14th 2010, and analyzed them. We conducted correlation analysis between age, pain(VAS), duration of pain and blood stasis score, and between duration of pain, blood stasis score and the sum of Stress Response Index. We compared the sum of Stress Response Index, blood stasis score, VAS according to the result of pathology. For statistics, we used Pearson's correlation coefficient, Mann-Whitney test, oneway analysis of variances(ANOVA) and SPSS version 17.0 for windows. Results: The correlation between duration of pain and blood stasis score showed statistical significance. The correlation between sum of the Stress Response Index and blood stasis score showed statistical significance. There is no statistically correlation between age, VAS, duration of the pain and blood stasis score. There is no statistically significant difference in sum of Stress Response Index, blood stasis score, VAS according to the result of pathology. Conclusion: The result showed that Stress is related with static blood, and the longer patients suffer from pain, the easier patients' blood to be static. Further study will be needed.

Analysis of bivariate recurrent event data with zero inflation

  • Kim, Taeun;Kim, Yang-Jin
    • Communications for Statistical Applications and Methods
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    • 제27권1호
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    • pp.37-46
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    • 2020
  • Recurrent event data frequently occur in clinical studies, demography, engineering reliability and so on (Cook and Lawless, The Statistical Analysis of Recurrent Events, Springer, 2007). Sometimes, two or more different but related type of recurrent events may occur simultaneously. In this study, our interest is to estimate the covariate effect on bivariate recurrent event times with zero inflations. Such zero inflation can be related with susceptibility. In the context of bivariate recurrent event data, furthermore, such susceptibilities may be different according to the type of event. We propose a joint model including both two intensity functions and two cure rate functions. Bivariate frailty effects are adopted to model the correlation between recurrent events. Parameter estimates are obtained by maximizing the likelihood derived under a piecewise constant hazard assumption. According to simulation results, the proposed method brings unbiased estimates while the model ignoring cure rate models gives underestimated covariate effects and overestimated variance estimates. We apply the proposed method to a set of bivariate recurrent infection data in a study of child patients with leukemia.