• Title/Summary/Keyword: Multilevel Growth Model

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Comparison of Multilevel Growth Models for Respiratory Function in Patients with Tracheostomy and Stroke using Cervical Range of Motion Training

  • Kim, SoHyun;Cho, SungHyoun
    • Physical Therapy Rehabilitation Science
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    • v.10 no.3
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    • pp.328-336
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    • 2021
  • Objective: The purpose of this study was to investigate the effect of cervical range of motion training on the change in respiratory function growth rate at the group and individual level in stroke patients and stroke patients with tracheostomy tube. Design: A Multilevel Growth Model Methods: 8 general stroke patients and 6 stroke patients who had a tracheostomy tube inserted were subjected to cervical range of motion training 3 times a week for 4 weeks. Force vital capacity (FVC), Forced expiratory volume in the first second (FEV1), Forced expiration ratio (FEV1/FVC) and Manual assist peak cough flow (MPCF) were measured. Data were analyzed using descriptive statistics and multilevel analysis with HLM 8.0. Results: A significant difference was found in the respiratory function analysis growth rate of the entire group (p<0.05), and two groups were added to the research model. The linear growth rate of respiratory function in patients with general stroke increased with the exception of FEV1/FVC (p<0.05). Stroke patients with tracheostomy tube showed a decreasing pattern except for FVC. In particular, MPCF showed a significantly decreased result (p<0.05). Conclusions: This study found that the maintenance of improved respiratory function in stroke patients with tracheostomy tube decreased over time. However, cervical range of motion training is still a useful method for respiratory function in general stroke patients and stroke patients with tracheostomy tube.

Understanding and Application of Hierarchical Linear Model (위계적 선형모형의 이해와 활용)

  • Yu, Jeong Jin
    • Korean Journal of Child Studies
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    • v.27 no.3
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    • pp.169-187
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    • 2006
  • A hierarchical linear model(HLM) provides advantages over existing traditional statistical methods (e.g., ordinary least squares regression, repeated measures analysis of variance, etc.) for analyzing multilevel/longitudinal data or diary methods. HLM can gauge a more precise estimation of lower-level effects within higher-level units, as well as describe each individual's growth trajectory across time with improved estimation. This article 1) provides scholars who study children and families with an overview of HLM (i.e., statistical assumptions, advantages/disadvantages, etc.), 2) provides an empirical study to illustrate the application of HLM, and 3) discusses the application of HLM to the study of children and families. In addition, this article provided useful information on available articles and websites to enhance the reader's understanding of HLM.

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Task-Specific Influences of Robotics on Manufacturing Jobs (제조업 일자리의 과업 특성에 따른 로봇의 차별적인 고용 영향에 관한 연구)

  • Heonyeong Lee
    • Journal of the Korean Regional Science Association
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    • v.39 no.4
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    • pp.73-90
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    • 2023
  • This research examines the impact of robotics integration on job dynamics in the U.S. manufacturing sector, adding to the critical dialogue on technological evolution and the future of jobs. Anchored in the task-model framework, the study hypothesizes that robotic integration exerts differential influences on diverse occupational clusters, each identified by their unique task-specific attributes. An in-depth examination was undertaken to elucidate the interplay between robotic integration and the occupation clusters. Employing a multilevel growth curve model, our empirical investigation tracked employment dynamics from 2012 to 2022 across 52 U.S. regions, covering 307 manufacturing occupations. The findings suggest a pronounced job decline within occupations necessitating manual dexterity. Nonetheless, the evidence does not conclusively support that the extent of robotics integration exacerbates this trend. These findings imply that the employment shifts in the U.S. manufacturing sector are predominantly driven by long-standing trends of deindustrialization and functional specialization, rather than by the recent diffusion of robotic technologies.

The 4th Industrial Revolution's Impact on Network Marketing - Focused on ABN Korea Case - (4차 산업혁명 시대 정보통신기술(ICT)이 가져온 네트워크 마케팅의 현재와 미래 - 한국암웨이 사례 연구 -)

  • Park, So-Jin;Oh, Chang-Gyu
    • The Journal of Information Systems
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    • v.26 no.4
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    • pp.379-400
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    • 2017
  • Purpose The purpose of this study is to investigate the effects of ICT on multilevel marketing organizations (MLMs) whose members are both salespeople and consumers. This study explores the effects of the latest ICT convergence on the direct selling, which is the oldest sales method, and suggests the direction for the development of network marketing. Therefore, we will propose the changes in direct sales brought by ICT and predict the future direction of network marketing in preparation for the 4th Industrial Revolution era. Design/methodology/approach Exploratory case study was the methodology selected for this paper. The case study enables the use of multiple methods for data collection and analysis. This study applies qualitative case-study methodology on Amway Korea, which is the top seller of MLM organizations, to better understand the impact of ICT. This study conducted an in-depth interview with four different levels of MLM members (e.g. membership, ruby, emerald, diamond) which are based on the qualification system of MLM organizations and observed their behaviors. Findings This study revealed that the ICT impact on network marketing organizations(MLMs) could be summarized as follows : new membership growth, easier communication with customers, increase in work efficiency, increase in organizational trust, change in educational environment, and increase in the use of social media. Based on the interview, we propose the changes of network marketing organizations in the fourth industrial revolution era and the future strategy of Amway Korea as follows: (1) retention of royal ABOs, (2) harmony with SMEs, (3) utilization of Big Data, (4) creation of IoT business model, and (5) construction of successful O2O business platform.

Relation between Resistance and Capacitance in Atomically Dispersed Pt-SiO2 Thin Films for Multilevel Resistance Switching Memory (Pt 나노입자가 분산된 SiO2 박막의 저항-정전용량 관계)

  • Choi, Byung Joon
    • Korean Journal of Materials Research
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    • v.25 no.9
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    • pp.429-434
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    • 2015
  • Resistance switching memory cells were fabricated using atomically dispersed Pt-$SiO_2$ thin film prepared via RF co-sputtering. The memory cell can switch between a low-resistance-state and a high-resistance-state reversibly and reproducibly through applying alternate voltage polarities. Percolated conducting paths are the origin of the low-resistance-state, while trapping electrons in the negative U-center in the Pt-$SiO_2$ interface cause the high-resistance-state. Intermediate resistance-states are obtained through controlling the compliance current, which can be applied to multi-level operation for high memory density. It is found that the resistance value is related to the capacitance of the memory cell: a 265-fold increase in resistance induces a 2.68-fold increase in capacitance. The exponential growth model of the conducting paths can explain the quantitative relationship of resistance-capacitance. The model states that the conducting path generated in the early stage requires a larger area than that generated in the last stage, which results in a larger decrease in the capacitance.

The Effects of Middle School Students' Belongingness Orientation on their Psychological Adaptation and Friend Networks: A Short-term Longitudinal Social Network Analysis (중학생의 소속감 지향성이 심리적 적응 및 친구 네트워크에 미치는 영향력 비교: 소셜 네트워크 분석을 활용한 단기-종단적 분석)

  • Lee, Seungjin;Ko, Young-gun
    • Korean Journal of School Psychology
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    • v.18 no.2
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    • pp.175-195
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    • 2021
  • Intimate friendships and a sense of belonging have positive effects on adolescent's psychological adaptation. Belongingness orientation is the motivation to belong. It is divided into growth orientation and deficit-reduction orientation, both of which have different effects on psychological adaptation and interpersonal characteristics. This study was conducted to determine how adolescents' belongingness orientation affected their psychological adaptation and friend networks. Students in their second year of middle school were surveyed both at the beginning and end of the spring semester. Friend networks were measured through network centrality analysis. Multilevel regression analysis produced three major results. The first major result was that the correlations between growth orientation and loneliness and between growth orientation and stress at the beginning of the spring semester was statistically significant even when friend network centrality was included in the analysis model, but the correlation between deficit-reduction orientation and loneliness and between deficit-reduction orientation and stress were not statistically significant. The second major result was that growth orientation significantly predicted friend network centrality at the end of the spring semester. This effect was significant even when friend network centrality at the beginning of the semester and psychological adaptation level at the end of the spring semester were added to the analysis model. The third major result was that the correlation between friend network centrality at the end of the semester and psychological adaptation level was statistically significant even when psychological adaptation levels at the beginning and the end of the semester were included in the analysis model. This study is meaningful in that it had a short-term longitudinal design and empirically demonstrated the relationship between belongingness orientation and psychological adaptation level of adolescents and between belongingness orientation and the development of friend networks. Lastly, we discussed limitations of this study and provided suggestions for future research.

Analysis of Determinants of Employment Retention Rate (고용유지율 결정요인 분석)

  • Lee, Sikyoon
    • Korean Journal of Labor Studies
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    • v.23 no.2
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    • pp.169-193
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    • 2017
  • This study analyzed the determinants that affect employment retention rate in order to diagnose dynamic employment stability in Korea. For this analysis, we constructed multi-level hierarchical data linking Workplace panel survey data and employment insurance job history data. And the determinants were analyzed using a multi-level analysis model suitable for these data. As result of the analysis, it is estimated that the employment stability is very low in Korea due to the widespread existence of the marginal sectors with low wage level and high level of nonstandard employment. In addition, the results of this analysis show that employment structure of Korea occupies considerable area of short-term employment where employment and unemployment are repeated, and overall employment stability is weak. This fact is likely to be a limiting factor for continued growth, as there is limited opportunity for skill development and skills formation at the corporate and individual levels. According to the results of this analysis, it is required to improve the quality of the employment structure for continuous growth and skill formation.

Self-esteem Changes Among the Adults Across the Lifespan : Examining the Predictors of the Change (성인기 자아존중감 변화와 영향요인에 대한 연구)

  • Kim, Hyemee;Moon, Heyjin;Chang, Haelim
    • Korean Journal of Social Welfare
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    • v.67 no.1
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    • pp.83-107
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    • 2015
  • The present study examines the development of self-esteem from young adulthood to old age, as well as predictors of change in self-esteem over time. The eight waves of Korean Welfare Panel Data(KOWEPS) were used for analyses, and a nationally representative sample of 15,511 individual aged 19 years and above were included. The multilevel growth curve model was specified to address the research questions. The result shows that the self-esteem trajectory differed across different age groups with those in early adulthood and adulthood showed an increasing linear trajectories while the old age showed a declining slope. Furthermore, predictors of changes in self-esteem also differed across the age groups that while depression and relationship variables were constant in predicting self-esteem change for all three age groups, some variables such as marital status, poverty status, and employment status predicted individuals in certain age groups. Such results demonstrate the need to understand and examine the change in self-esteem at the individual level.

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An Exploratory Methodology for Longitudinal Data Analysis Using SOM Clustering (자기조직화지도 클러스터링을 이용한 종단자료의 탐색적 분석방법론)

  • Cho, Yeong Bin
    • Journal of Convergence for Information Technology
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    • v.12 no.5
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    • pp.100-106
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    • 2022
  • A longitudinal study refers to a research method based on longitudinal data repeatedly measured on the same object. Most of the longitudinal analysis methods are suitable for prediction or inference, and are often not suitable for use in exploratory study. In this study, an exploratory method to analyze longitudinal data is presented, which is to find the longitudinal trajectory after determining the best number of clusters by clustering longitudinal data using self-organizing map technique. The proposed methodology was applied to the longitudinal data of the Employment Information Service, and a total of 2,610 samples were analyzed. As a result of applying the methodology to the actual data applied, time-series clustering results were obtained for each panel. This indicates that it is more effective to cluster longitudinal data in advance and perform multilevel longitudinal analysis.

A Study on the Impacters of the Disabled Worker's Subjective Career Success in the Competitive Labour Market: Application of the Multi-Level Analysis of the Individual and Organizational Properties (경쟁고용 장애인근로자의 주관적 경력성공에 대한 영향요인 분석: 개인 및 조직특성에 대한 다층분석의 적용)

  • Kwon, Jae-yong;Lee, Dong-Young;Jeon, Byong-Ryol
    • 한국사회정책
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    • v.24 no.1
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    • pp.33-66
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    • 2017
  • Based on the premise that the systematic career process of workers in the general labor market was one of core elements of successful achievements and their establishment both at the individual and organizational level, this study set out to conduct empirical analysis of factors influencing the subjective career success of disabled workers in competitive employment at the multi-dimensional levels of individuals and organizations(corporations) and thus provide practical implications for the career management directionality of their successful vocational life with data based on practical and statistical accuracy. For those purposes, the investigator administered a structured questionnaire to 126 disabled workers at 48 companies in Seoul, Gyeonggi, Chungcheong, and Gangwon and collected data about the individual and organizational characteristics. Then the influential factors were analyzed with the multilevel analysis technique by taking into consideration the organizational effects. The analysis results show that organizational characteristics explained 32.1% of total variance of subjective career success, which confirms practical implications for the importance of organizational variables and the legitimacy of applying the multilevel model. The significant influential factors include the degree of disability, desire for growth, self-initiating career attitude and value-oriented career attitude at the individual level and the provision of disability-related convenience, career support, personnel support, and interpersonal support at the organizational level. The latter turned out to have significant moderating effects on the influences of subjective career success on the characteristic variables at the individual level. Those findings call for plans to increase subjective career success through the activation of individual factors based on organizational effects. The study thus proposed and discussed integrated individual-corporate practice strategies including setting up a convenience support system by reflecting the disability characteristics, applying a worker support program, establishing a frontier career development support system, and providing assistance for a human network.