• 제목/요약/키워드: segmented regression

검색결과 71건 처리시간 0.028초

청소년의 주체형성을 위한 환경요소들에 관한 종합적 연구 (Synthetic Study on Environmental Factors for the Identity Formation of Adolescents)

  • 이은희;나영주;황진숙;고선주;박숙희
    • 대한가정학회지
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    • 제44권3호
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    • pp.27-49
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    • 2006
  • This study investigated the integrated effects of family, school, internet, and mass culture factors on the identity formation of adolescents. Specifically, the purposes of this study were to categorize adolescents into groups by what they do during the time except the life in school and to investigate differences among the groups regarding the identity information(body image, self-esteem, self-identity) and the influences of environmental factors on identity formation of adolescent. The study distributed questionnaires to middle and high school adolescents of five representative cities in South Korea. The total respondents were 2240(960 from Seoul/Kyongki, and 320 each from Taegu, Pusan, Kwangju, and Taejon). The response rate was 98.7%. The data were analyzed by factor analysis, cluster analysis, ANOVA, Duncan test, and multiple regression. The results showed that Korean adolescents were segmented into five groups : TV preference group, computer preference group, friends and family involvement group, homework and study preference group, and study institute involvement group). The five groups were significantly different in regard to body image pursuit, self-esteem, and self-identity. The body image pursuit, self-esteem, and self-identity of adolescents were significantly different in regard to each environmental factors, in each adolescent group.

학교급식 직영 영양사의 감정노동이 감정고갈에 미치는 영향 : 자기효능감 수준에 따른 군집별 분석 (The Effects of Emotional Labor on Emotional Exhaustion of School Dietitians : Comparison on Level of Self-efficacy)

  • 이해영
    • 한국식품조리과학회지
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    • 제30권1호
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    • pp.84-91
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    • 2014
  • The purpose of this study was to identify the effects of emotional labor on emotional exhaustion among school dietitians according to the level of their self-efficacy. A survey was administered on 300 school dietitians during September 2012 and a total of 277 usable questionnaires were received. The data were analyzed by using the SPSS 18.0 package program. As a result of principal factor analysis for validity test, 26 variables were classified into one factor for self-efficacy, three factors for emotional labor and one factor for emotional exhaustion with a total variance percentage of 67.371%. Internal consistency was estimated by Cronbach's alpha, which yielded reliability coefficients of 0.922 (self-efficacy), 0.916 (emotional display), 0.806 (surface acting), 0.808 (deep acting) and 0.850 (emotional exhaustion). Subjects were segmented into 2 groups of 'high self-efficacy' (n = 159) and 'low self-efficacy' (n = 118) according to the cluster analysis for self-efficacy variables. The 'high self-efficacy' group exhibited higher education(p < 0.01) and served less lunch meals than other groups (p < 0.05). According to multiple regression analysis, the emotional display proved to be significantly and positively related to emotional exhaustion (${\beta}$=0.319, p<0.001) in high self-efficacy group. However both emotional display (${\beta}$=0.233, p<0.05) and surface acting (${\beta}$=0.262, p<0.01) were positively related to emotional exhaustion in the low self-efficacy group. These results suggest that school dietitians should be more aware of their self-efficacy to relieve the effects of the emotional labor on emotional exhaustion.

친환경 패션 마케팅 믹스 전략 연구 (A Study on the Strategy of the Environment-friendly Fashion Marketing Mixes)

  • 김민경;유지헌
    • 복식문화연구
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    • 제19권3호
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    • pp.637-649
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    • 2011
  • Environmental protection has become more important than ever because of increasing environmental pollution and abnormal climatic changes caused by the depletion of resources from industrial activities. Fashion products can create various environmental pollutants during the production process. Since they are in direct contact with the body, the environment-friendly features for the fashion industry will become increasingly important and the necessity to execute a detailed study regarding the environment-friendly fashion marketing will also become increasingly important. The purpose of this study was to segment the levels of environment-friendly fashion marketing mixes, that analyze the relationship between consumer decision-making factors and purchasing intentions. We propose effective several marketing strategies. A total of 457 questionnaires were analyzed using frequency analysis, t-tests, correlation analysis, regression analysis, and ANOVA in SPSS. The results are as follows: First, environment-friendly fashion products were segmented into four groups, environment-friendly materials, environment-friendly production, environment-friendly management, and recycling/ disuse of products. Second, the promotion of environment-friendly fashion products were highly ranked, followed by materials used, distribution methods, and production management. Third, women considered usage, management, and price for environment-friendly fashion products as more important than men did. Finally, a total of 39.4% of the respondents had purchased environment-friendly fashion products, with a preference to buy environment-friendly underwear, outerwear, bags, shoes, and accessories. By establishing and executing the environment-friendly fashion marketing mixes, fashion companies execute successful marketing activities in both domestic and international markets.

하이브리드 의사결정나무와 인공신경망 모델을 이용한 방문학습지사의 고객세분화 (Customer Segmentation of a Home Study Company using a Hybrid Decision Tree and Artificial Neural Network Model)

  • 서광규;안범준
    • 한국산학기술학회논문지
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    • 제7권3호
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    • pp.518-523
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    • 2006
  • 본 논문은 하이브리드 의사결정 나무(CART)와 인공신경망 모델을 개발하여 고객의 이탈에 대한 예측을 높이기 위하여 가정방문 학습지 고객의 패턴을 분류하고, 분석하는 새로운 방법에 대하여 연구하였다. 의사 결정나무(CART5)를 형성하여 선택된 결정변수들은 인공신경망의 입력벡터 값으로 선택되는 새로운 방법을 제시하였다. 고객 관리측면에서 본 논문은 가정방문 학습지 회사의 기존고객을 분류하여 패턴을 분석함으로써 우수한 고객의 지속적인 관리와 이탈 가능성이 많은 고객을 차별 관리하여 기업이익을 증대시킬 수 있을 것이다. 새롭게 제안한 하이브리드 모델은 기존의 의사결정트리모델(CART), 회귀모형, 인공신경망 모델과 비교한 결과 그 예측 정확성이 높음을 확인할 수 있었다.

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상황인지 음악추천을 위한 음악 분위기 검출 (Detection of Music Mood for Context-aware Music Recommendation)

  • 이종인;여동규;김병만
    • 정보처리학회논문지B
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    • 제17B권4호
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    • pp.263-274
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    • 2010
  • 상황인지 음악추천 서비스를 제공하기 위해서는 무엇보다 상황 또는 문맥에 따라 사용자가 선호하는 음악의 분위기를 파악할 필요가 있다. 음악 분위기 검출에 대한 기존 연구의 대부분은 수작업으로 대표구간을 선정하고, 그 구간의 특징을 이용하여 분위기를 판별한다. 이러한 접근 방법은 분류 성능이 좋은 반면 전문가의 간섭을 요구하기 때문에 새로운 음악에 대해서는 적용하기 어렵다. 더욱이, 곡의 진행에 따라 음악 분위기가 달라지기 때문에 음악의 대표 분위기를 검출하는 것이 더욱 어려워진다. 본 논문에서는 이러한 문제점들을 보완하기 위해 음악 분위기를 자동으로 판별하는 새로운 방법을 제안하였다. 먼저 곡 전체를 구조적 분석 방법을 통하여 비슷한 특성을 갖는 세그먼트들로 분리한 후 각각에 대해 분위기를 판별한다. 그리고 세그먼트별 분위기 파악 시 Thayer 의 2차원 분위기 모델에 기초한 회귀분석 방법으로 개인별 주관적 분위기 성향을 모델링하였다. 실험결과, 제안된 방법이 80% 이상의 정확도를 보였다.

치매 환자에서 뇌 자기공명영상의 특징과 비정형 항정신병 약제 사용여부의 상관 관계 (Association between Characteristics of Brain Magnetic Resonance Imaging and Atypical Antipsychotics Use in Dementia Patients)

  • 최종택;김지원;노양호;류석환;우성일;한상우;황재욱
    • 생물정신의학
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    • 제20권3호
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    • pp.97-103
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    • 2013
  • Objectives We aimed to identify the neuroimaging marker for prediction of the use of atypical antipsychotics (AAP) in dementia patients. Methods From April 2010 to March 2013, 31 patients who were diagnosed as dementia at the psychiatric department of Soonchunhyang University Hospital, completed the brain magnetic resonance imaging scan and cognitive test for dementia. Ten patients were treated with AAP for the improvement of behavioral and psychological symptoms of dementia (BPSD) and the other 21patients were not. Using T1 weighted and Fluid Attenuated Inversion Recovery (FLAIR) images of brain, areas of white matter (WM), gray matter (GM), cerebrospinal fluid (CSF) and white matter hyperintensities (WMH) have been segmented and measured. Multivariate logistic regression models were applied for assessment of association between AAP use and the GM/WM ratio, the WMH/whole brain (GM + WM + CSF) ratio. Results There was a significant association between AAP use and the GM/WM ratio (odds ratio, OR = 1.18, 95% confidence interval, CI 1.01-1.38, p = 0.037), while there was no association between AAP use and the WMH/whole brain ratio (OR = 0.82, 95% CI 0.27-2.48, p = 0.73). Conclusions The GM/WM ratio could be a biological marker for the prediction of AAP use and BPSD in patients with dementia. It was more likely to increase as dementia progress since atrophy of WM was more prominent than that of GM over aging.

온라인 육아 커뮤니티 특성요인이 커뮤니티 충성도와 유아복 구매의도에 미치는 영향 (Characteristics of Online Child-Rearing Community and Their Effects on Community Loyalty and Purchase Intention of Baby Wear)

  • 황지현;황춘섭
    • 한국의류학회지
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    • 제34권7호
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    • pp.1138-1148
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    • 2010
  • This study examines the characteristics of the online child-rearing community launched by the voluntary motivations of consumers, and the effects of those characteristics on community loyalty and the intentions to buy baby wear via community sites. The study was implemented by a descriptive survey method using an online questionnaire. The sample consisted of 212 members of online child-rearing communities. The data were analyzed by frequency, factor analysis, and regression analysis. Results are as follows. 1) It was found that there were four major factors of online child-rearing community characteristics, such as attachment/pleasure, practical/economy, interaction, and information. 2) All four factors had significant effects on community loyalty. 3) The factor attachment/pleasure had no significant effects on intentions to buy baby wear, but practical/economy, interaction and information had effects upon those intentions. 4) Loyalty to the online child-rearing community had significant effects on the intentions of community members to buy baby wear via the community site. In addition, online child-rearing community members are interested in information regarding baby wear as well as its purchase; this is why baby wear makers should perform cost efficient consumer group segmentation in a timely manner. In addition, it will be effective for their marketing activities to target such consumer groups as segmented.

럭셔리 패션 브랜드의 고객자산 구성요소가고객충성도에 미치는 영향 - 럭셔리 패션 제품 구매빈도와 구매액에 따른 세분시장별 분석 - (The Effect of Luxury Fashion Brand Customer Equity Drivers on Customer Loyalty - Differences among Segmented Markets based on Purchasing Patterns -)

  • 황유경
    • 한국의류산업학회지
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    • 제15권2호
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    • pp.219-230
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    • 2013
  • To generate future profits, luxury brands need to recognize and understand customers as individually important and analyze the impact factors that improve specific customer equity. With the growing recognition that customer equity is a key strategic asset, this study empirically investigates the effect of customer equity drivers on customer loyalty based on the study of Vogel et al.(2008) which expanded the Rust et al.(2000)'s study on customer equity. We empirically examine if the customer equity drivers have a different impact on customer loyalty. This study hypothesizes that the relative effect of customer equity drivers would be different depending on the purchasing behavior of consumers and examines the effects of them on the relationship of the drivers of customer equity and customer loyalty. We use stepwise multiple regression analysis to empirically test the relationship of value equity, brand equity, and relationship equity and customer loyalty. Relationship equity influences customer loyalty more strongly than value equity and brand equity. Customers seem to build loyalty based on the careful assessment of all costumer equity drivers (value equity, brand equity, and relationship equity). In addition, their relative impact is different depending on the purchasing behavior of consumers. A company cannot maintain all customer equity drivers at a high level with limited marketing resources; therefore, marketing investment for all customer equity drivers need to be allocated differentially depending on the purchasing behavior of consumers.

도시농업 활동 유형화 연구 (Segmentation and Characteristic Analysis of Urban Farmers Behavior)

  • 황정임;최윤지;장보경;이상영
    • 한국지역사회생활과학회지
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    • 제21권4호
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    • pp.619-631
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    • 2010
  • The purpose of this study is to segment and examine urban farmers behavior by applying a two-step cluster analysis and multi-nominal logit model. The data were collected by a telephone survey with two-staged stratified random sampling in the cities around the country for the purpose of acquiring representative data. Respondents were asked to describe their awareness of urban agriculture, their agricultural activity, and sociodemographic characteristics. Among 2,000 cases, 381 cases(19.1%) which were of participants in urban agriculture were analysed in SPSS. From the findings, 27.3% of respondents had heard the word 'urban agriculture', and 25.5% of them regarded themselves as urban farmers. Four different clusters were derived from two-step clusters based on motive, place, companion, area and hours. They were 'Large scale hobby farming(cluster 1)', ‘Weekend farm/ hobby farming(cluster 2)', 'Land/ Self-supporting farming(cluster 3)', and 'Small scale hobby farming(cluster 4)'. The result of multinomial logistic regression showed that there were significant differences among these four segmented groups in terms of age, city size and housing type. In other words, there is quite a possibility that urbanites select different urban farming types according to their socio-demographic profiles. Therefore, the urbanite profiles can be used as the basis for promoting policy of several urban agriculture types. According to the result, policy directions for facilitating urban agriculture were presented.

Genotypic Variation in Leaf Water Status of Soybean

  • Jin, Yong-Moon;Lee, Hong-Suk;Lee, Suk-Ha;Kwon, Yong-Woong;Im, Jeong-Nam
    • 한국작물학회지
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    • 제44권1호
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    • pp.55-58
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    • 1999
  • Plant water status during growth is directly and indirectly associated with seed yield. The objective of the present study was to determine the genotypic differences in leaf water characteristics at an early growth stage of soybean [Glycine max (L.) Merrill] plants through the pressure-bomb technique. Measurements of water potential as well as relative water content (RWC) were made at the third leaf from the fully-expanded top leaf of eight different soybean genotypes grown for 31 to 35 days after field emergence. On the basis of the modified exponential model, pressure-volume (PV) curves were fitted well ($R^2$=0.92** to 0.99** for the curvi-linear region and R=0.67** to 0.96** for the linear region), indicating that a segmented model using PROC NLIN of SAS could be used effectively to estimate the leaf water characteristics. The regression analysis for the pressure-volume (PV) curve revealed genotypic variation in the solute potential at saturation (Ψ$_{s,sat}$ :-10.7 to -14.8 bar), solute potential at incipient plasmolysis (Ψ$_{s,ip}$ : -14.3 to -18.3 bar), RWC at incipient plasmolysis (RW $C_{ip}$ : 83.3 to 91.7%), high integrated turgor pressure from saturation to plasmolysis ( $_1$$^{b}$ : 0.39 to 0.81), and maximum volumetric modulus of elasticity ($\varepsilon$$_{max}$ : 150 to 445 bar).).

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