• The Korean Journal of Emergency Medical Services
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• v.12 no.2
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• pp.85-97
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• 2008

Purpose : This study was cross-sectional study to examine the influence of job stress in 119 briefing room workers and aimed to provide the important basic materials for improving working conditions of 119 briefing room workers and further studies. Methods : This study selected 271 workers of 119 briefing room at National Emergency Management Agency and fire stations, metropolitan cities and provinces to examine the influences of job stress of 119 briefing room workers on depression. and as a result of analysis, the following conclusions. Results : 1) The whole average of job stress measure was 3.30. The highest area was interpersonal relationship factor as 3.41, 'job characteristic factor' as 3.36 and communication factor' as 3.01. 2) Total score of whole items of depression was 11.88 and showed slight depression level. 3) There was static correlation between job stress and depression(r=44.7, p= .000). There were statistically significant static correlations between job stress factor and depression(r= .388, p= .000), interpersonal relationship factor and depression(r= .471, p= .000), and communication factor and depression(r= .386, p= .000). 4) There was statistically significant difference in the influence of job stress on depression(B=8.575, p< .001). Influence of job stress on depression was explained as $R^2=.200$. When job stress factors as independent variables were input, interpersonal relationship factor(B=5.062, p< .001) had the greatest influence on depression and there was no statistically significant difference in communication factor(B=2.490, p< .05). Conclusions : It is considered that development of the various programs including program for getting rid of job stress of 119 briefing room workers and counseling program will be needed. particularly, factors such as human relationships and communication in the area of job stress must be the first priority.

• Korean Journal of Adult Nursing
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• v.27 no.1
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• pp.39-51
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• 2015

Purpose: The purpose of this study was to develop and validate a Hospital Violence Attitude Scale-18 (HVAS-18) for clinical nurses. Methods: The HVAS-18 was developed and validated in 3 steps: Item generation through literature reviews and in-depth interviews, pilot study, and the validity and reliability tests using a test-retest technique. Forty-one items were initially extracted by 8 experts, and 18 items were finally developed by item and factor analysis. The final HVAS-18 was evaluated by 326 clinical nurses from seven general hospitals in three cities. The collected data were analyzed using factor analysis, Pearson correlation coefficient, and Cronbach's ${\alpha}$. Results: Five discrete factors emerged, which explained 64.0% of the total variance. Each five factor was labeled: Factor 1 (6 items) 'awareness'explained 18.2%; Factor 2 (4 items) 'response' explained 12.9%; Factor 3 (4 items) 'reaction' explained 12.9%; Factor 4 (2 items) 'result-nursing' explained 10.2%; and Factor 5 (2 items) 'result-violence offender' explained 9.6%. The internal consistency, Cronbach's ${\alpha}$, was .87, and reliability of the sub-scales ranged from .72 to .83. Conclusion: The results of this study indicate that HVAS-18 can be an useful, reliable, and valid instrument for measuring hospital violence attitude of clinical nurses.

• Journal of Korean Academy of Nursing
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• v.42 no.3
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• pp.385-395
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• 2012

Purpose: This purpose of this study was to develop and validate a Self-Efficacy Scale for Self-Management of Breast Cancer (SESSM-B). Methods: The SESSM-B was developed and validated as follows: Item generation, pilot study, and tests of validity and reliability. Twenty-one items were developed through evaluation by 10 experts and 13 items were finally confirmed through item analysis and factor analysis. Psychometric testing was performed with a convenience sample of 303 women with breast cancer. Data were analyzed using factor analysis, Pearson correlation coefficients, and Cronbach's alpha. Results: Five factors evolved from the factor analysis, which explained 69.8% of the total variance. The first factor 'coping with psycho-informational demand' explained 17.2%, 2nd factor 'maintenance of healthy lifestyle' 14.5%. 3rd factor 'management of side-effects' 13.3%, 4th factor 'therapeutic compliance' 12.8%, and 5th factor 'sexual life' 11.9%. SESSM-B also demonstrated a concurrent validity with health-related quality of life scale, EORTC QLQ-C30 & BR23. The internal consistency, Cronbach's alpha, was .78, and reliability of the subscales ranged from .61 to .79. Conclusion: The results of this study suggest that the SESSM-B is an easy, reliable, and valid instrument to measure self-efficacy for self-management of breast cancer.

• Journal of Korean Society for Atmospheric Environment
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• v.28 no.4
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• pp.423-434
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• 2012

This study was carried out to develop for the emission factor of greenhouse gas (GHG) from medium and smallscaled incineration facility using RPF which is considering as a part of renewable energy in UNFCC. The actual concentration of the exhaust gas and the fuel composition of RPF were measured for the calculation of GHG emission factor in RPF incinerators, and were compared with the IPCC guideline. The $CO_2$ and $N_2O$ emission factors by the actual concentration of exhaust gas were $2.3575{\pm}1.0070tCO_2/tRPF$ and $0.0014{\pm}0.0014tN_2O/tRPF$ respectively. Also, $CO_2$ emission factor by the RPF composition was $2.7057{\pm}0.0540tCO_2/tRPF$. The GHG emission factor per energy by the actual concentration was $83.0867{\pm}26.0346tCO_2e/TJ$ which showed higher consistency with the GHG emission factor ($80.3967tCO_2e/TJ$) of waste plastic in the IPCC guideline (2006b). The $CO_2$ and $N_2O$ emission factor calculated in this study is considered as a meaningful data for GHG emission factor of RPF incineration facility because of not being developed in ROK.

• Journal of the Korean Institute of Landscape Architecture
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• v.35 no.1 s.120
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• pp.79-87
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• 2007

The objective of this study was to delineate forest patches in the cities around the Geum-buk mountains at the north of the Geum River using multiplesatellite remote sensing data. Landsat visible and near-infrared satellite images obtained at multiple dates in the growing season were used to create a forest distribution map. Fragstats 3.3 was used to get the landscape indices delineating the distribution of forest patches. Additional ground truth data was used to assess the accuracy of the classification. Factor analysis was used to get the 26 landscape indices clustered into 4 factors. Factor I was labeled as' size of forest patches', factor II as 'fragmentation of forest patches', factor III as 'shape of forest patches', and factor IV as 'complexity of forest patches'. Factor I described large patches and their core area, while others did small patches and their shape and complexity. Cities including Cheonan, Gongju, Cheongyang, and Boryeong near the main ridge of the Geumbuk Mtns. had a small number of large-sized forest patches. However, cities including Taean, Seosan, Dangjin, Hongseong near the ridge of the western Geumbuk Mtns. had a large number of small-sized forest patches. Finally, this study showed that the region near the coast line in Chung-nam province has various types of forest patches having an irregular forest edge due to the elevation and slope lower than the one of the region far from the coast line which is near the ridge of the Geum-buk Mountains. Remote sensing data were useful to understand the distribution of forest patches, and landscape indices could be keys to delineate the relationship between forest patches. And the factor analysis, which simplified 26 landscape indices into 4 landscape patterns allowed us to understand the distribution and relationship of forest patches in an easy way.

• The Journal of Information Systems
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• v.23 no.1
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• pp.161-184
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• 2014

Our study measures the Digital Life Index (DLI) of baby boomers by considering the utilization of digital devices in their everyday life. The study was conducted by implementing the following three-step approach: (1) development of survey questions and data collection; (2) build Digital Life Index (DLI) model and lastly; (3) empirical analysis using the Digital Life Index (DLI). In the first stage in order to develop the survey questions to measure the digital index, two surveys were conducted. For the first preliminary survey, it was done based on the existing literatures which enabled this investigation through FGI analysis involving real professionals. The second survey was conducted by commissioning a specialized external firm. In this survey, a total of 400 data was collected to verify the validity and objectivity of the data sample. The data gathered through the survey questions was used to develop the digital index. Firstly, the appropriate factors were extracted by conducting factor analysis. This factor analysis validates and verifies the factors which are appropriate in measuring Digital Life Index (DLI). The derived factors are broadly divided into five main factors. The first factor describes the possession, purchase and use of digital device (x1). Meanwhile, the second factor describes the digital device's software (x2) and the third factor describes the participation in utilizing digital device (x3). The fourth factor describes the utilization of digital device in human personal relationship (x4) and lastly, the fifth factor describes the effect of digital device in everyday life and work environment (x5). Secondly, the digital index model was developed. The variables to represent the Digital Life Index (DLI) are ${\chi}1t,{\chi}2t,{\chi}3t,{\chi}4t$ and ${\chi}5t$. Furthermore, as experience in using the digital index grows overtime, the growth can be represented by the "S" shape. Based on the results, Digital Life Index(DLI) is distributed with the highest point at 90.3 and the lowest point at 25.9.

• Journal of the Korean Society of Clothing and Textiles
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• v.15 no.4 s.40
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• pp.341-349
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• 1991

This study was done to provide basic data for clothing design and thus to contribute to the academic development of the clothing and textile area. The focus of this study was to charac­terize the somatotype based on each individual's lateral view. For this purpose, firstly, categorization of the subjects based on their lateral view and definition of each category, secondly, characterization of each somatotype, and thirdly, sugges­tion of the deterministic criteria of each category were complished. The subjects in this study were female college students of 18 to 26 year-old whose somatotypes were comparatively invariable after cessation of physical growth. The metrical items characterizing upper body lateral view were chosen. Data were collected through Anthropometry and Photometry and analyzed by Factor analysis. The results were as follows; 1. Each subject's side view contour was classified as straight type, lean-back type, bend­forward type, and swayback according to its position to the relative plumb line. Straight type was defined as the type in which the plumb line passes through the lobe of the ear, the shoulder joint, and the mid abdominal region laterally. Lean-back type positioned the plumb line more posteriorly than straight type. Bend-forward type positioned the plumb line more anteriorly than straight type. Swayback positioned the plumb line at about the same line as straight type. And curvature of side view contur was more prominent in this type than in straight type. 2. Seven factors were figured out. The first factor was representing upperbody volume, and the second factor was representing size, the third factor was horizontal distance from lateral view representing size view contour. The fourth factor was front body length, the fifth factor was back body length. The sixth factor was shoulder length and shoulder width representing shoulder shape. The seventh factor was the bust shape.

• The Journal of the Korea Contents Association
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• v.17 no.5
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• pp.326-336
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• 2017

This study investigates the relevance of stress, self factor and emotional factor, and the influence on Smartphone Addiction Level among college students. The survey was administered to 261 college students in J city from December 16th to 23rd, 2016. The structured self-administered questionaries were used. The multiple linear regression analysis revealed that the factors with explanatory powers of 52% on Smartphone Addiction Level included physical activity changes, sleep disorders, the self control about self factors, the impulsion of emotional factors. With the analysis of covariance structure, we could confirm the relationship among the four factors such as stress, self factor, emotional factor and Smartphone Addiction Level. The results of the study indicate that the efforts to manage stress, self factors and emotional factors, are required to reduce the Smartphone Addiction Level of the college students. The results are expected to be useful for the development of programs and policy to decrease the Smartphone Addiction Level. In the following study, structural equation modeling about additional factors, which influences on Smartphone Addiction Level, will be needed.

• Communications of Mathematical Education
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• v.35 no.3
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• pp.233-255
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• 2021

The purpose of this study is to develop math anxiety scale for middle school students for planning and implementing math anxiety treatment programs. In this study, we describe the process of developing and validating math anxiety scale for middle school students and detailing exploratory factor analysis and confirmatory factor analysis to verify construct validity. As a result of the study, we developed the Math Anxiety Scale for Middle School Students (MASS-M) of 30 items with four factors: mathematical curriculum content, mathematical attitude, mathematical test, and environment. As a math anxiety factor for middle school students, MASS-M was developed, which includes mathematical anxiety factors such as mathematical test factor and environmental factor, especially mathematical curriculum content factor describing mathematical treatment, and mathematical attitude factor describing psychological treatment. MASS-M, derived from this study, is a standardized scale for measuring math anxiety in middle school students and is expected to serve as the basis for maintaining consistency in research on math anxiety in middle school students and developing programs to treat math anxiety in middle school students.

• Korean Journal of Construction Engineering and Management
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• v.15 no.5
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• pp.127-137
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• 2014

Project Financing (PF) development project is the type which influences national economy and building industry largely because it is exerted by using borrowed money from many kinds of investors and huge amount of financial raising. Many domestic PF projects are focused mainly on the profit maximization lacking in a sufficient feasibility study. Nowadays many projects are suspending due to the global finance debacle and stagnation of real estate industry. Therefore, in this paper, risk factors of PF project are deducted and Key Success Factors (KSFs) are derived through Factor-Analysis and qualified using Fuzzy-AHP method. And through the evaluation of the derived success factors in real projects, a strong correlationship has been identified between the score of each PF success factor and the level of success and/or expected rate of return (ROR). So, the result of this paper can help decision makers of the PF projects make a better decision and give a meaningful guidance in achieving successful PF projects.