• The Journal of the Korea Contents Association
• /
• v.16 no.9
• /
• pp.160-169
• /
• 2016

Self-Compassion(SCS) Scale is developed by Neff(2003a) and translated by Kim, Lee, Cho, Chae, Lee(2008). But, there is the limitation with validation SCS and Korean version Self-Compassion(K-SCS) performed in college students and the incoherence for the results of the scale's factor analysis in other countries. Therefore, this study examined the validity of factor structure in SCS based on data in 435 adult aged from 18 to 79. For this, we conducted exploratory factor analysis(EFA) and confirmatory factor analysis(CFA), and we examined the each adequacy of two-factor, tree-factor and six-factor model. The result of EFA supported six-factor and the result of CFA was the six factor model best as well.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.25 no.8
• /
• pp.1386-1397
• /
• 2001

The purpose of this study was to classify and analyze the somatotype of early middle-aged women and to provide its total data for clothing construction, and to improve clothing culture. The subjects were 277 early middle-aged women between 35 and 44 years old. Data were collected through anthropometry and photometry and analyzed by factor analysis, cluster analysis and discriminant analysis. The results were as follows; 1. The result of factor analysis indicated that 10 factors were extracted through factor analysis and those factors comprised 86.13 percent of total variance. 2. Using factor scores, cluster analysis was carried out and the subject were classified into 4 cluster. Type 1 is tall, slim, and X type in front. Type 2 is standard height and weight, short upper body, and hip-protruded on the side. Type 3 is standard height, thin, H type in front, back and hip are clearly protruded, and lean-back type on the side. Type 4 is standard height, fat, and long upper body. 3. According to the stepwise discriminant analysis, the 8 important iems is classifying the somatotype of early middle-aged women are as follows : bust girth, back length hip breadth-waist breadth, back protruded point depth(back)-back waist depth(back), hip tangent tilt, hip depth(back) waist dapth(back), bust depth-waist depth, and cervical hight, The correct classification rate for these items is as exact as 83.20%.

• Journal of Korean Society of Water and Wastewater
• /
• v.28 no.1
• /
• pp.125-134
• /
• 2014

6 sigma is a management innovation strategy which improves most of all managerial processes including transactional and project based operations such as marketing, purchasing, accounting, and construction. Even though 6 sigma is trying to solve problems from the customer's viewpoint in the scientific manner, project leader feels some difficulties in implementation because of several reasons. Especially the difficulties are prevalent in construction site. This paper investigates the cause of the difficulties through questionnaires, analyzes the investigation results, and verifies the critical success factors of 6 sigma implementation. Factor analysis has been usually employed in reducing quantity of data and summarizing information chaos. In this study, several variables from questionnaires are grouped into just only four factors by the process of factor analysis. The critical success factors are extracted as project management system, implementation mechanism, site condition, and project ownership. Some ideas for each individual success factor are suggested, which are expected to be useful in successful implementation of 6 Sigma in construction site.

• Journal of the Korea institute for structural maintenance and inspection
• /
• v.5 no.1
• /
• pp.169-175
• /
• 2001

Bridge load rating calculations provide a basis for determining the safe load capacity of bridge. Load rating requires engineering judgement in determining a rating value that is applicable to maintaining the safe use of the bridge and arriving at posting and permit decisions. Load testing is an effective means in calculating the rating value of bridge. In Korea, load carrying capacity of bridge is modified by response modification factor that is determined from comparisons of measured values and analysis results. The response modification factor may be corrupted by vehicle location error that is defined as the gap of test vehicle location between load testing and analysis. In this study, the effects of vehicle location error to structural response and response modification factor are investigated, and a new method for evaluating response modification factor is proposed. The random data analysis shows that the proposed method is less sensitive to vehicle location error than the present method.

• Journal of the Korean Institute of Telematics and Electronics D
• /
• v.35D no.2
• /
• pp.93-100
• /
• 1998

In this paper we analyze the effect of nonlinear gain on laser modulation characteristics applying a small-signal analysis to the rate equation which includes a nonlinear gain term. Also we analyze the resonance frequency and the damping factor which determine laser modulation characteristics, define K factor which is the proportionality factor between resonance frequency and damping factor, and conclude that the decrease in K factor is due to increases in differential gain and no correlation between K factor and nonlinear gain is identified.

• Korea Journal of Hospital Management
• /
• v.1 no.1
• /
• pp.136-153
• /
• 1996

The purpose of this study is to identify the factors hindering hospital reengineering project in one university hospital. The data was collected by the self-administered Questionnaire to 288 members of the hospital in Pusan on April 5-18, 1996. This study took some statistical methodologies, such as descriptive analysis, factor analysis and logit model analysis. The results were as follows; First, in the descriptive analysis for whether the hospital reengineering named RUSH94 was a success or not, the subjects judged that it was not successful and regarded their fable mutual communication as the main factor. Second, in the reason of failure at the reengineering project, the group who thought that the failure factor was the lack of mutual consensus checked the scores of the first factor produced from the factor analysis.

• Journal of the Korean Society for Library and Information Science
• /
• v.47 no.3
• /
• pp.181-205
• /
• 2013

The purpose of this study is to develop a job-stress scale for librarians who work in university libraries. The study was first conducted by analyzing existing representative job-stress scales that are used domestically and internationally. To understand the characteristic of particular job stress that academic librarians have, the in-depth interview among qualitative research methods was selected, and 15 librarians who work at a 4-year system university libraries participated in this study. Based on the results of the questionnaire survey, the reliability and validity were verified. To analyze the validity, exploratory factor analysis was carried out. To extract factors, principal component analysis was used. To extract factors, principal component analysis was used. For the rotation method, a varimax rotation was applied. A tertiary measurement tool with a total of 46 questions for 11 factors was developed after removing measurement questions that were rejected as a result of the analysis. As a result of factor analysis on the tertiary measurement tool, 11 factors were extracted. Those 11 factors include 'peer relation conflict factor(factor 1)', 'superior-subordinate relation conflict factor (factor 2)', 'work compensation evaluation factor(factor 3)', 'emotional labor factor(factor 4)', 'physical environmental factor(factor 5)', 'employment stability(factor 6)', 'job demand factor(psychological) (factor 7)', 'decision-making and responsibility factor(factor 8)', 'work complexity factor(factor 9)', 'work boundary conflict factor(factor 10)', and 'job demand factor(physical)(factor 11)'.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.19 no.2
• /
• pp.366-379
• /
• 1995

This study was performed to provide fundamental data on middle-aged women's upper torso by classifying the upper torso somatotype and analyzing the characteristics of their somatotype. Factor analysis of principal component model was used to 38 directly measured items, and cluster analysis was applied for classification of upper torso forms. Seven factors were extracted from the factor analysis. The first factor represented the items of circumference, breadth, and depth which were related with body size. On the basis of the cluster analysis using factor scores trom factor analysis as being independent variables, the subjects were classified into three groups. Three dress forms were constructed according to the characteristics for each somatotype of subjects, the three-dimensional characteristics of somatotype were analyzied by the moire pattern and horizontal section map of proposed dress forms. Wearing test by moire topography was used to evaluate wearing outline, the ease of clothes and garment space. Moire pattern and horizontal section map were useful to evaluate wearing conditions, and garment space was changed by the characteristics of the body shape.

• Korean Institute of Interior Design Journal
• /
• v.24 no.2
• /
• pp.11-20
• /
• 2015

To make provision for the super-aged society, the senior welfare facility which is a kind of typical physical environment of the nursing service would be expected to perform a very important role in local community. This study was conducted to identify the constructs of the servicescapes of senior welfare facility and to draw analysis indicators of it. For this, we performed literature review based on domestic & foreign government guide, service marketing theory and interior architectural results concerning the physical environment of the senior welfare facility. The result of this study showed as follows: servicescapes of the senior welfare facility could be explained as "a whole set of physical environment to support a variety of services provided by the senior welfare facility for the elderly or services of the kind of tangible clues". Analysis indicators of the senior welfare facility's servicescape could be explained as five factors: safety factor, functional factor, aesthetic factor, ambient factor and social factor. In addition we developed 37 pieces of detailed factors referred to five factors. The evaluation and verification of analysis indicators was carried out through 8 experts in-depth interviews. We inspected importance factor using a 5-point Likert scale, therefore safety factor was 4.41, functional factor was 4.27, aesthetic factor was 3.66, ambient factor was 4.20 and social factor was 4.25. More than anything else, in this study, there is a sense that it has established the concept of servicescape adapted to the senior welfare facility and contained a social element between the employees and the physical environment. Theoretical and practical implications of findings are discussed, and future research directions are proposed. we expect to be a little or benefits to the senior welfare facility corresponding to the future of the super-aged society.

• International Journal of Highway Engineering
• /
• v.7 no.3 s.25
• /
• pp.43-52
• /
• 2005

Highway classification is an essential part of defining design criteria of roads. This study is to classify highways by factor analysis. To accomplish the objectives, factor analysis is performed for classifying highways using the traffic data observed at the permanent traffic count points in 2004. A total off variables are applied : AADT, K factor, D factor, heavy vehicle proportion, day time traffic volume proportion, peak hour volume proportion, sunday factor, vacation factor and COV(Coefficient of Variation). The results of factor analysis show that variables are divided into two factors, which are the factor related to the fluctuational characteristics of traffic volume and the factor related to heavy vehicle and directional volume characteristics. According to the results of cluster analysis, 353 permanent traffic count points are categorized into such three groups as type I for urban highway, type II for rural highway, type III for recreational highway, respectively.