• 대한치과기공학회지
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• 제35권2호
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• pp.157-171
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• 2013

Purpose: This study aims to present a database for the development of a healthcare management program based on the survey and analysis of self reported psychosomatic symptoms among the current dental technology students. Methods: Subjects of our study are 480 dental technology major students enrolled in a third year college located Gyeonggi, Chungcheong, and Gangwon province. Using a random sampling, we conducted a self-report survey from August 30, 2011 to October 28, 2011 and 418 reports were collected as feedback and we put an analysis on them. Results: 1. The average physical self symptom was 20.49, which is higher than the average mental self symptom(18.54). Of the subcategories of psychosomatic self symptom, we observed multiple subjective symptoms as the highest one(37.77), and aggression as the lowest(13.77). 2. As to gender, both physical and mental self symptom were statistically significant with the scale score of(p<.001). The scale score of subcategories is as follows; multiple subjective symptoms(I, p<.001), eye and skin(B, p<.001), digestive(C, p<.001), impulsiveness(H, p<.001), lie scale(L, p<.001), mental instability(J, p<.001), depression(K, p<.001), aggression(F, p<.001), irregularity of life(G, p<.001), mouth and anal(D, p<.05), nervousness(E, p<.05). 3. As for obesity, statistical significance was shown with the scale scores of physical self symptom(p<.001), multiple subjective symptoms(I, p<.001), digestive(C, p<.001), aggression(F, p<.001), depression(K, p<.01), irregularity of life(G, p<.01), respiratory(A, p<.05), eye and skin(B, p<.05), impulsiveness(H, p<.05), mental instability(J, p<.05). The scale scores in the environmental quality and life satisfaction were shown as follows; depression(K, p<.001), lie scale(L, p<.01), and irregularity of life(G, p<.05). 4. We employed multiple regression analysis to take account of general factors affecting psychosomatic self symptoms, and drew that the explanatory power of the model was proved with the scales of physical self symptom(4.1%) and mental self-symptom(3.6%). Obesity was a factor that affects physical self symptom with the scale score of(p<.01), and environmental quality and life satisfaction(p<.01) and obesity(p<.05) affect mental self symptom. Conclusion: In this analysis we observed obesity of dental technology students can influence their psychosomatic self symptoms. In this sense, it would be reasonable to develop a healthcare management and education programs that help the students maintain a healthy weight and promote their health.

• International Journal of Computer Science & Network Security
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• 제21권5호
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• pp.211-216
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• 2021

This study intended to test the structure of the latent factor of a subjective happiness scale and the stability of invariance across groups of students' classifications (gender and students' status). In the large, non-clinical sample (619), students completed the subjective happiness scale. The (CFA) confirmatory factor analysis was used to investigate the factor-structure of the measure, and multiple-group confirmatory factor analysis (MGCFA) model was used to test the stability of invariance across groups of students classifications. The findings of the CFA indicated support for the original one-factor model. Additional analyses of the MGCFA method support the measurement (configural, metric and strong) invariant and practical invariant components of this model. There was an invariant across gender. There was partially invariant across groups of students' statuses. The scale exists in both groups to assess the same concepts of (single and married), excluding Items 3 and 4. Given that this study is the first investigation for the structure of the subjective happiness scale.

• International Journal of Computer Science & Network Security
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• 제21권12호
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• pp.149-156
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• 2021

This study intended to test the structure of the latent factor of an effectiveness scale and the stability of invariance across groups of students' classifications (gender and levels of education). In the large, non-clinical sample (850), students completed the effectiveness scale. The (CFA) confirmatory factor analysis was used to investigate the factor-structure of the measure, and multiple-group confirmatory factor analysis (MGCFA) model was used to test the stability of invariance across groups of students' classifications. The findings of the CFA indicated support for the original four-factor model. Additional analyses of the MGCFA method support the measurement (configural, metric and strong) invariant and practical invariant components of this model. There was an invariant across gender. There was partially invariant across groups of levels of education. The scale exists in groups of levels of education assess the same concepts of, excluding Items 15 and 10. Given that this study is the first investigation for the structure of the effectiveness scale.

• 간호행정학회지
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• 제7권1호
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• pp.41-51
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• 2001

Today's health care environment is rapidly changing and nurse administrators' leadership styles need to identify in nursing organization to achieve organizational objectives. By Bass(1985), transformational leadership stimulates the subordinates to be creative and achieve organizational objectives and is related to job satisfaction, job involvement, productivity, and organizational commitment. Transformational leadership process consists of charisma, intellectual stimulation, individual consideration. The purpose of this study is to identify the effect of transformational leadership and personal characteristics on nurses' organizational commitment. The subjects for this study consisted of 594 nurse from 8 University Hospitals and General Hospitals. The data were collected by personal characteristics scale, transformational leadership scale, and organizational commitment scale. The factor analysis, Cronbach's alpha analysis, Pearson correlation analysis, multiple regression analysis and hierarchical multiple regression analysis were used for the statistical method. The results of this study were found that (1) charisma dimension of transformational leadership has positive influence on nurses' organizational commitment; but another two dimensions(intellectual stimulation and individualized consideration) did not showed significant effect on organizational commitment (2) nurses' personal characteristic(internal locus of control) moderated the effect of transformational leadership on organizational commitment.

• 한국보건간호학회지
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• 제15권2호
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• pp.249-261
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• 2001

Today's health care environment is rapidly changing and nurse administrators' leadership styles need to identify in nursing organization to achieve organizational objectives. By Bass(1985), transformational leadership stimulates the subordinates to be creative and achieve organizational objectives and is related to job satisfaction, job involvement, productivity, and organizational commitment. Transformational leadership process consists of charisma, intellectual stimulation, individual consideration. The purpose of this study was to identify the effect of transformational leadership and personal characteries on nurses' job involvement. The subjects for this study consisted of 594 nurses from 8 University Hospitals and General Hospitals. The data were collected by personal characteristics scale, transformational leadership scale, and job involvement scale. The factor analysis, Cronbach's alpha analysis, Pearson correlation analysis, multiple regression analysis and hierarchical multiple regression analysis were used for the statistical method. The results of this study were found that (1) charisma dimension of transformational leadership has positive influence on nurses' job involvement ; but another two dimensions (intellectual stimulation and individualized consideration) did not showed significant effect on job involvement (2) nurses' personal characteristic (internal locus of control) moderated the effect of transformational leadership on job involvement.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 1995년도 추계학술대회 논문집
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• pp.736-739
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• 1995

The meshless adaptive method based on multiple scale analysis is developed to simulate large deformation problems. In the procedure, new particles are simply added to the orginal particle distribution because meshless methods do not require mesh structures in the formulations. The high scale component of the approximated solution detects the localized region where a refinement is needed. The high scale component of the second invariant od Green-Lagrangian strain tensor is suggested as the new high gradient detector for adaptive procedures. The feasibility of the proposed theory is demonstrated by a numerical experiment for the large deformation of hyperelastic materials.

• 한국생활과학회지
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• 제8권1호
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• pp.95-107
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• 1999

Difficulties in the measuring home food production activities obstructs development of home production activity related studies. For solving such problems, this study intended to develope a home food production frequency scale. The data were collected from 219 housewives in Taejon. Validity, reliability, correlation, and multiple regression analysis were used to test home food production frequency scale. The scale's validity and reliability were reveled considerable potential for its use to ascertain relationships between home food production activity and other family variables.

• 근관절건강학회지
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• 제5권2호
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• pp.206-221
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• 1998

The purpose of this study was to validate translated Multidimensional Assessment of Fatigue(MAF) scale. The scale is a 16-item scale that measures four dimensions of fatigue : severity, distress, impact, timing. Fourteen items are numerical rating scales and 2 items have multiple choice responses. Data were collected from the 137 patients with rheumatoid arthritis after content validation. Criterion validity was tested by correlation coefficient with Piper Fatigue Scale, which resulted in 0.7573(p<.0000). Construct validity was tested by item analysis and factor analysis. Corrected item-total correlation coefficients were 0.63-0.88. And factor analysis showed 2 factors : fatigue degree factor and fatigue impact factor. These two factors explained 73.5% of total variance. Reliability of internal consistency was 0.96 in Cronbach's alpha. Further validation study is necessary in each factor in other settings with other subjects.

• 소음진동
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• 제10권5호
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• pp.865-872
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• 2000

This paper presents the modeling, theoretical formulation, and stability analysis for a combined system of a spinning disc and a head that contacts the disc. In the analytic model, head interference is considered by a rotating mass-spring-damper system together with a frictional follower force on the damped annular discs. The multiple scale method is utilized to perform the stability system that shows the existence of instability associated with parametric resonances. Using the formulated system , instability regions of optical recording disc are investigated with variation of mass, stiffness and friction force of a head, respectively. The simulation results show that the stiffness of a head is the most sensitive parameter on the instability of the disc.

• Communications for Statistical Applications and Methods
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• 제26권4호
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• pp.411-430
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• 2019

Tumor development is driven by complex combinations of biological elements. Recent advances suggest that molecularly distinct subtypes of breast cancers may respond differently to pathway-targeted therapies. Thus, it is important to dissect pathway disturbances by integrating multiple molecular profiles, such as genetic, genomic and epigenomic data. However, missing data are often present in the -omic profiles of interest. Motivated by genomic data integration and imputation, we present a new statistical framework for pathway significance analysis. Specifically, we develop a new strategy for imputation of missing data in large-scale genomic studies, which adapts low-rank, structured matrix completion. Our iterative strategy enables us to impute missing data in complex configurations across multiple data platforms. In turn, we perform large-scale pathway analysis integrating gene expression, copy number, and methylation data. The advantages of the proposed statistical framework are demonstrated through simulations and real applications to breast cancer subtypes. We demonstrate superior power to identify pathway disturbances, compared with other imputation strategies. We also identify differential pathway activity across different breast tumor subtypes.