• Korea Journal of Hospital Management
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• v.10 no.2
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• pp.26-44
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• 2005

The purpose of this study was to investigate these major factors on patient satisfaction, and to examine the affecting level of major factors in. The subjects in this study was 70 hospitals that were surveyed the hospital evaluation program containing the survey of patient satisfaction by KHIDI(Korea Health Industry Development Institute) from 1997 to 1999. The collected data was analysed SPSS for Windows(Ver 10.0). On basically, frequency analysis, t-test, and ANOVA was performed and, for more analysis, correlation analysis, factor analysis, multiple regression analysis, logistic regression analysis was utilized. According to this study, the major factors of inpatient satisfaction are divided 3 types facility factor, manpower factor, and service factor. And the major factors of outpatient satisfaction are analyzed 5 types; facility factor related direct medical service, facility factor related indirect medical services, manpower factor, pharmacy factor, and facility factor related utilization convenience. The importance of this study lies in the identification of major factors on hospital patient satisfaction.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.5
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• pp.2168-2177
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• 2013

In order to analyze the influence of subjective cognition about determinant factors in employment on job satisfaction, this study utilized The Graduates Occupational Mobility Survey(GOMS) 2010 Year and the subjects of this survey were 4,051 people who graduated from university. The results of this study were follows: First, subjective cognition about determinant factors in employment and job satisfaction were showed significant difference by gender, type of school, school location, major fields. Second, school in region, education major, the academic factor, the certification & major field factor, the personality & human connection factor were found to have positive(+) influence on the intrinsic satisfaction. Third, 2~3years college, school in region, social major, education major, technology major, natural major, medical major, academic factor, the certification & major field factor, the personality & human connection factor were found to have positive(+) influence on the extrinsic satisfaction. This study provides detailed analysis on subjective cognition about determinant factors in employment, offering new verification of work job satisfaction.

• Journal of The Korea Institute of Healthcare Architecture
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• v.30 no.3
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• pp.45-56
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• 2024

Purpose: It is important to note that the relative importance of risk factors should be identified to successfully complete the remodeling project of general hospital. Approached by analytic hierarchy process (AHP), the present study aimed to systematically evaluate the risk factors for remodeling of general hospital. Methods: The present work classified the risk factors of general hospital remodeling into four major categories including the requirements survey stage, planning and design stage, dismantling and construction stage, and maintenance stage. In addition, four sub-categories were derived from each major category factor. Furthermore, five major categories and four subcategories were selected to be considered from the perspectives of two stakeholders of contractor and constructor. The relative importance of the major and sub-categories factors was calculated using the AHP technique on the survey data collected from 49 respondents who participated in the survey study. Results: The results indicate that, the risk factor of requirements survey stage was found to be the most important risk factor to consider among the four major categories of factors. Also, insufficient preliminary investigation, design inconsistencies in architecture/mechanics/electricity, occurrence of safety accidents, and insufficient review of various equipment capacities and performances were found to have the highest priorities of each subcategory factor group included in the four major categories. From the perspective of contractor, the error in predicting the construction period was found to be the most important risk factor. The occurrence of safety accidents during construction was found to be the most important risk factor to be considered by constructor. Implications: The result of the current work should provide important insights and guidelines for the risk management activity that contributes to controlling the project time, cost, and scope required for general hospital remodeling.

• The Research Journal of the Costume Culture
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• v.12 no.5
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• pp.743-756
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• 2004

The purpose of this study is to set measurement parts which are important to identify the size and shape of the head in order to produce tightly fitted hats, and to identify detailed sizes and the major factors of head shape classifications of Korean women. A total of 285 Korean women's in the age group of 18 to 35 years old. It were measured through the direct measurement method by selecting 67 measurement items. Materials were analyzed by SPSS Ver.10 and technology statistics and factor analysis were performed according to the agenda. An attempt was made to conduct factor analysis of the measured region of the head in women's. Here, this study drew the head and the facial parts horizontal size as Factor 1, the head and facial parts vertical size as Factor 2, the circumference and width item as Factor 3, the factor representing the form of head height as Factor 4, the factor expressing the proportion of the facial form as Factor 5 and the factor about the frontal and back head form on the plan of the middle as Factor 6. Through this study, we will be able to systemize head measurement materials that can differentiate Korean's head from other peoples' and can use the results in developing head shape models according to Korean's head shape by selecting major head parts needed to identify the sizes and shapes.

• International Journal of Advanced Culture Technology
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• v.6 no.2
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• pp.72-79
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• 2018

The purpose of this study was to analyze general characteristics and empathy factors of nursing student's major satisfaction. Participants in this study were 235 students from both located in J do and C do Universities. The research method was a cross-sectional survey and the survey period was from September 1 to 10, 2017. The questionnaire was used to investigate general characteristics, empathy, and major satisfaction. The analysis was based on frequency analysis, p value of t or F value, Pearson correlation, regression analysis, and hierarchical regression analysis using SPSS 18.0. The result of this study were as follows: (1) The C University showed higher satisfaction than J University(3.44), (2) the factors affecting major satisfaction were school location, grade, religion, cognitive empathy, and emotional empathy correlated, Regression analysis was used to examine factors that correlated with major satisfaction, followed by hierarchical regression analysis to identify the most influential factors. (3) The result of the analysis showed that the greatest influence factors on major satisfaction were the University location(${\beta}=.325$, p<.01), the cognitive empathy (${\beta}=.287$, p<.01), and the next order was negative grade(${\beta}=-.230$, p<.01). Based on the results of this stud, the following conclusions can be drawn. The most influential factor in the major satisfaction was the school location, but this was an irreversible factor. Therefore, if the cognitive empathy factor and grades are corrected, it can be said that it can increase the satisfaction of major in nursing University students. In this study, it was emphasized that cognitive empathy contained in the course of nursing education program and suggested guidance on major satisfaction in lower grades.

• Journal of the Korea Construction Safety Engineering Association
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• s.51
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• pp.75-83
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• 2010

In terms of deregulation requests from business, incidents at construction sites are rapidly increasing after reducing the regular safety training hours. Especially, to prevent incidents through safety trainings for construction site workers, who have lots of hazardous tasks than general manufacturing, is not only to protect property of both the companies and the country but also to increase their profits. That is why there are loud voices regarding that the safety training is a core mandatory to prevent industrial incidents. But, most companies, as soon as the deregulation for safety training is implemented, mitigated conducting safety trainings to prevent incidents. With this, theincidents are currently to be increased and caught in a vicious circle of many incidents at the smaller companies because of their absentmindedness regarding safety training due to their poorness as subcontractors of major companies, comparing to major companies. This study explains that incident factors are roughly divided into technical factor, managerial factor, and educational factor. And, we confirmed that the educational factor led by deficiency safety awareness and knowledge was the major factor.

• Fashion & Textile Research Journal
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• v.10 no.2
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• pp.220-227
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• 2008

The purpose of this study was to investigate the relationship between the image advertising of a college and the college image, and the behavior of choosing a college and a major. Data were collected from students of 4 colleges in Daegu. Convenienced sampling was performed, and 259 responses were used for analysis. In the statistical analysis, factor analysis and regression analysis were used for verification. The results were as following; The image advertising concept of a college constituted one factor, and the college image consist of the college's internal image factor and the external image factor. It shows that the image advertising of a college/the college image has a direct influence on the behavior of choosing a college and a major. Furthermore, through interaction with the college image, the image advertising also has an indirect influence.

• Journal of Applied Reliability
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• v.2 no.1
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• pp.15-22
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• 2002

This paper is concerned about an Accelerated Life Test for Micro Display Device which is being used in a Projection TV, in order to find a failure mode occurred in field in a short time, to identify a major factor to affect a life, and to estimate a mean life. For this purpose, we selected a temperature as a accelerated factor to perform a test and measured degradation of display device using visual inspection and chromaticity table. In the result of Accelerated Life Test, it is confirmed that failure mode is equal to the degradation of display device by vendor and the Temperature is a major factor to affect a failure. Besides, according as the display device is turned to green as degraded, it is identified that the change of the chromaticity value is one method to measure the degree of the degradation . So, we applied the optimal condition, which consider a cost and life to lower the Temperature which is a major factor acquired by the result of ALT, to PTV design

• 대한예방의학회:학술대회논문집
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• 1999.10a
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• pp.136-137
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• 1999

• Journal of the Korean Home Economics Association
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• v.20 no.4
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• pp.83-89
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• 1982

The purpose of this study was to analyze the 45 measuring items for the clothing construction in order to observe the factorial structure of items and to extract the common factor and the special unique factor from data. The sample for the study was drawn randomly out of senior high schoolgirls in Seoul urban area. The size of sample was 301 girls between age 16 and 18. The method of analysis was applied by the principal component analysis with orthogonal rotation after extraction of 9 major factors. All of the above data was analyzed by the computer installed at Seoul National University. From these analyses, the major findings can be summerized as follows: 1. The results of factor analysis generally indicated that the first factor was clustered with 15 items, length measures and height measures. The eigenvalue of the first factor was 16.5 and the cumulative percentage of variables 36.6%. 2. The second factor was clustered with width measures, girth measures and weight of 19 items. The eigenvalue of the second factor was 6.5 and the cumulative percentage of variables 51.0%.