• 제목/요약/키워드: multilevel analysis

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Effects of Advertising Campaign on the Salesperson's Performance: Should a Multilevel Marketing Firm Advertise Its Brand to Customers?

  • YOO, Changjo;CHO, Yooncheong
    • 산경연구논집
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    • 제10권6호
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    • pp.7-17
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    • 2019
  • Purpose - The purpose of this study is to explore how advertising for multilevel marketing brands affect the salesperson's activity including customer-salesperson interactivity, work attitude, and perceived and actual performance after the campaign. Research Design, data, and methodology - This study collects experimental data, survey data, and actual sales data and applies statistical analyses such as factor analysis, t-tests, and a structural equation model. Results - The results show that advertising campaign can enhance a salesperson's selling activities and provide wide managerial implications to a multilevel marketing firm by filling the gaps for the field of advertising research. Conclusions - Managerial implications include: i) multilevel marketing firms should consider advertising campaigns as a means of changing customer responses because advertising plays a significant role in increasing familiarity with, and knowledge of, attitudes toward the brand, which also helps salespeople interact with customers; ii) multilevel marketing firms should consider brand advertising as a means to support the sales activities of salespeople including sales effectiveness, work attitudes, and perceived performance, and iii) multilevel marketing firms should consider brand advertising as a means to enhance a salesperson's pride and motivation for selling their brand, which will lead to improved sales performances.

Factors Affecting Emotional·Behavioral Problems in Early Adolescence: A Multilevel Model Study

  • Park, Hee Young;Choi, Yeon Hee
    • 지역사회간호학회지
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    • 제28권4호
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    • pp.482-493
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    • 2017
  • Purpose: This study aims to investigate the individual and environmental factors related to emotional/behavioral problems to early adolescence in Korea by applying multilevel modeling. Methods: From the database of the 2014 Korean Child and Youth Panel Survey (KCYPS), the researchers selected 1,977 adolescents who are in the second year of middle school. Multilevel model analysis was performed to estimate the impact of relevant factors at the individual and environmental levels. Results: At the individual level, the significant factors associated with emotional/behavioral problems included BMI and study tendency in boys, and drinking, study tendency and economic levels in girls. At the environmental level, the significant factor associated with emotional/behavioral problems included relationship with the teacher. Conclusion: The emotional/behavioral problems of early adolescence are influenced not only by the individual factors but also by the environment factor. Therefore, the environment surrounding the adolescents should also be considered to prevent emotional/behavioral problems.

Cascaded H-bridge Multilevel Inverter employing Front-end Flyback Converter with Single Independent DC Voltage Source

  • Kim, Ki-Du;Bae, Gyou-Tak;Kang, Feel-Soon
    • Journal of international Conference on Electrical Machines and Systems
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    • 제2권2호
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    • pp.197-201
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    • 2013
  • Cascaded H-bridge multilevel inverter requires independent DC voltage sources to produce multi output voltage levels. When it needs to generate more levels in the output voltage wave, the number of independent DC voltage sources usually limits its extension. To solve this problem, we propose a cascaded H-bridge multilevel inverter employing a front-end flyback converter for unifying input DC voltage sources. After theoretical analysis of the proposed circuit, we verify the validity of the proposed inverter using computer-aided simulations and experiments.

Multilevel Analysis of Health Care Service Utilization among Medical Aid Beneficiaries in Korea

  • Ahn, Yang Heui;Ham, Ok Kyung;Kim, Soo Hyun;Park, Chang Gi
    • 대한간호학회지
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    • 제42권7호
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    • pp.928-935
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    • 2012
  • Purpose: The current study was done to identify individual- and group-level factors associated with health care service utilization among Korean medical aid beneficiaries by applying multilevel modeling. Methods: Secondary data analysis was performed using data on health care service reimbursement and medical aid case management progress from 15,948 beneficiaries, and data from 229 regions were included in the analysis. Results: Results of multilevel analysis showed an estimated intraclass correlation coefficient (ICC) of 18.1%, indicating that the group level accounted for 18.1% of the total variance in health care service utilization, and that beneficiaries within the region are more likely to share common features with regard to health care service utilization. At the individual level, existence of disability and types of medical aid beneficiaries showed a significant association, while, at the group level, social deprivation index, and the number of beneficiaries and case managers within the region showed a significant association with health care service utilization. Conclusion: The significant influence of group level variables in health care service utilization found in this study indicate a need for group level approaches, such as policy change and/or promotion of community awareness.

다수준 생존분석을 이용한 신규 간호사 이직 영향요인 (Predictors of Turnover among New Nurses using Multilevel Survival Analysis)

  • 김수희;이경은
    • 대한간호학회지
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    • 제46권5호
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    • pp.733-743
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    • 2016
  • Purpose: The purpose of this study was to examine factors influencing new graduate nurse turnover. Methods: This study was carried out as a secondary analysis of data from the 2010 Graduates Occupational Mobility Survey (GOMS). A total of 323 nurses were selected for analysis concerning reasons for turnover. Data were analyzed using descriptive statistics and multilevel survival analysis. Results: About 24.5% of new nurses left their first job within 1 year of starting their jobs. Significant predictors of turnover among new nurse were job status, monthly income, job satisfaction, the number of hospitals in region, and the number of nurses per 100 beds. Conclusion: New graduate nurses are vulnerable to turnover. In order to achieve the best health of the nation, policy approaches and further studies regarding reducing new graduate nurse turnover are needed.

다층모형을 통한 금연성공에 영향을 미치는 요인 분석 (A Multilevel Model Analysis on the Determinants of Smoking Cessation Success Rates)

  • 송태민;이주열
    • 보건교육건강증진학회지
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    • 제30권1호
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    • pp.53-64
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    • 2013
  • Objectives: In this study, a multilevel analysis model has been designed to investigate the effect of personal characteristics associated with smoking cessation on anti-smoking determinants with a goal of finding out the factors which have influence on smoking cessation among the entrants of smoking cessation clinic in a public health center. Methods: A total of 253,136 male smokers who received smoking cessation services for more than six(6) months in a smoking cessation clinic of public health center from July 16, 2007 to July 15, 2008 were examined. For technical analysis, SPSS Version 2.0 has been used. For multilevel analysis on smoking cessation determinants, in addition, HLM 7.0 has been adopted. Results: According to the unconditional model of multilevel analysis, the success rates of smoking cessation among the entrants of a smoking cessation clinic were 47.3%. In an unconditional slope model test to which regional variables were added, a negative effect was observed in average smoking amount, total smoking period, nicotine dependence and services while a positive effect was found in age, stress and type of social security in terms of the log of the odds of smoking cessation. In a conditional model test, a positive effect was observed in Non-Smoking Campaigns (NSC) and Frequency of Counseling (FC) in terms of the log of the odds of smoking cessation in regional variables. Conclusions: It is important to approach smokers individually and, at the same time, build healthy environment for a local community to increase smoking cessation rates among the entrants of smoking cessation clinic in a public health center.

청소년의 흡연에 영향을 미치는 사회적 요인으로서의 학교 흡연율: 다수준 분석의 적용 (School Smoking Rate as a Social Factor Affecting the Adolescent Smoking in Korea: Multilevel Analysis)

  • 변진옥;조영태
    • 보건교육건강증진학회지
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    • 제27권4호
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    • pp.7-16
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    • 2010
  • Objectives: To obtain a more intensive understanding smoking behaviors of young adolescent in the contexts of schools which they attend, this study examined the effects of individual and school level factors divided into psychological and social factors respectively. Methods: Multilevel logistic regression analysis was used to test the effects of school smoking rates on 1 year smoking experience of individual pupils in a sample of 3,449 students from 100 middle schools in Korea. Results: The results of multilevel analysis revealed the importance of social factors in three environments. Especially the social factors in school level, which were sense of school membership and school smoking rate, explained the variances between groups dropping the school effect from 0.194 to 0.046. Conclusion: This study suggests that adolescents' smoking behaviors are related to the multi dimensional and multi level factors. To reduce young adults' smoking rate, school level intervention should not be ignored.

병원 밖에서 발생한 급성 심장정지 환자의 생존결과에 영향을 미치는 요인 : 다수준 분석 (Determinants on survival outcomes of sudden out-of-hospital cardiac arrest: a multilevel analysis)

  • 김효실;전진호
    • 한국응급구조학회지
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    • 제24권2호
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    • pp.7-26
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    • 2020
  • Purpose: This study aimed to identify the factors affecting the survival outcomes of out-of-hospital cardiac arrest based on the Sudden Cardiac Arrest Survey by the Korean Centers for Disease Control and Prevention from 2012 to 2016. Methods: Out of 84,776 cases, 57,104 cases of cardiac arrest were analyzed. To identify the factors that affect survival outcomes after a sudden cardiac arrest (SCA), we performed a logistic regression using SPSS. We also performed a multilevel analysis using SAS to determine whether the survival outcomes were affected by the socioeconomic level and health index of the communities. Results: When SCA was witnessed by someone, the possibility of discharge with survival outcomes increased by a factor of 4.54. If CPR was administered immediately in emergency situations, this possibility further increased. When defibrillation was performed before hospitalization, the possibility was increased by a factor of 10.31. The multilevel analysis reflected the personal and regional factors that had an impact on the survival outcomes. Conclusion: Because the initial response in SCA is crucial, a community response system is essential before hospitalization. It is necessary to actively publicize and educate the people because the their understanding, sympathy, and cooperation in emergency situations play a role in determining the survival outcomes of the patients.

Multilevel analysis approach to analyzing the effects of team diversity on team members' individual creativity and creative activities such as exploitation and exploration

  • Chae, Seong Wook;Lee, Kun Chang
    • 한국컴퓨터정보학회논문지
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    • 제20권11호
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    • pp.77-88
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    • 2015
  • This study attempts to investigate the effect of team diversity on individual creativity and team members' creative activities such as exploration and exploitation. We have garnered 40 team data from 249 respondents who have been participating in the team learning activities during semester in a private university. They were asked by instructor to show their creativity, and exploration and exploitation activities. The 40 teams were made up of team diversity factors such as study hour and leisure activity. We used a multilevel analysis to analyze the effects of team diversity factors on team member's creativity, and exploration and exploitation. Results showed that in general, team diversity factors like study hour and leisure activities have significant effects on the individual creativity, and exploration and exploitation. Practical implications represent that teams need to be organized considering the team diversity factors in order to improve team member's creativity, and their exploration and exploitation activities.

Harmonic Analysis of a Modular Multilevel Converter Using Double Fourier Series

  • Quach, Ngoc-Thinh;Chae, Sang Heon;Ahn, Jin Hong;Kim, Eel-Hwan
    • Journal of Electrical Engineering and Technology
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    • 제13권1호
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    • pp.298-306
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    • 2018
  • This paper presents a harmonic analysis of the modular multilevel converter (MMC) using a double Fourier series (DFS) algorithm. First, the application of DFS for harmonic calculation in the MMC is made by considering the effect of arm inductor. The analytical results are then confirmed by comparing with the simulation results of using the fast Fourier transform (FFT) algorithm. Finally, distribution of harmonics and total harmonic distortion (THD) in the MMC will be analyzed in three cases: harmonics versus number of levels of MMC, harmonics versus total switching frequency and harmonics versus modulation index. The simulation results are performed in the PSCAD/EMTDC simulation program in order to verify the analytical results obtained by Matlab programming.