• The Journal of the Korea Contents Association
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• v.15 no.3
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• pp.168-173
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• 2015

Use of forearm and hip joint bone density scan and find the clinical usefulness of the results that can be inferred as a result of any other region sites injured by a correction factor which if One part up. Groups of 60 patients, 10 patients by age 20-70 were composed of patients measured with the forearm and lumbar spine bone mineral density T-score and Z-score of the survey for each of the three factors that it was Find the correction factor to obtain the relationship. Bone mineral density of the correlation coefficient R = 0.8 correction factor is Y = 1.341X + 0.146. T-score of correlation coefficient R = 0.804 and the correction factor Y = 0.565X - 0.327 is Z-score of the correlation coefficient R = 0.637 correction factor Y = 0.539X - 0.225. It is regarded that there will be a clinical availability which can analogize the result of a part by using the result of the other part. It will be able to determine an auxiliary role in the clinical diagnosis. Correction factor to the equation Y = 1.341X + 0.146 is recommended.

• Journal of the Korean Society of Clothing and Textiles
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• v.24 no.2
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• pp.277-285
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• 2000

The purpose of this study was to quantify the relationship between the sense of touch and mechanical properties of man-made leather. The first was to develop the five conversion equations which convert mechanical properties of man-made leather into five factor scores, which express five factors of the sense of touch(surface property, stretchiness, thickness & weight, thermal property(warmth & coolness), and moisture property(sticky & clingy)). The second was to develop the conversion equation which converts five factor scores into score of the sense of touch. Five factor scores were predicted by the following mechanical properties; surface property factor by log2HB and (log2HB)2, stretchiness factor by logEM, thickness & weight factor by logT, log2HB, logW, thermal property factor by logT, logHB, logSMd, and moisture property factor by logMMD, RC, RC2, (logEM)2, RT2. Subsequently, these five factor scores were converted into score of the sense of touch. The predictive abilities of the developed equations were satisfied.

• Journal of Korean Academy of Nursing Administration
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• v.4 no.2
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• pp.289-306
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• 1998

For continuous development of professional nursing to the powerful professional organization, it is essential that the public understand and help nursing. This research was done to identify the image of nurses and factors that determine that image. The study subjects were 97 admitted patients 95 family members of patients who were admitted to a university hospital and a general hospital in Seoul and 164 parents of stutents in elemantary, middle, high schools in Seoul. The total numbers of subjects was 356. The researcher collected the data from April 13.1998 to April 20.1998. The Research tool was developed by the researcher following a literature review. Cronbach ${\alpha}$ for the tool of the image of nurses was 0.9397 and Cronbach a for the tool for determinants of the image was 0.8764. The obtained data were processed by SPSS (Statistical Package for Social Science) and the results are as follows : 1. The mean score for the image of nurses was 90.40${\pm}$15.15(range 47${\sim}$138) indicating a positive response. 2. Analysis of the image of nurses : Four factors were identified traditional. social. professional and personal image. The mean score for traditional image was 3.27. the second highest score. and for social image. 2.95. the lowest score. The mean score for professional image score was 3.48. the highest score. and for personal image, 3.20. a lower score. 3. The image of nurses according to respondents There were significant differences for traditional. social, professional. personal factors between subject groups. A more positive responses was found in the patients and patient' families as a compared to the students' parents. 4. Image of nurses related general characteristics : There was a significant difference for age and school graduation. More negative responses were found in the 31${\sim}$40 years old age group and in the higher educated group. 5. Image of nurses related to experience of nurses The respondents showed a more negative image when their experience related to nurses through the mass media, as a compared to the experiences of having talked with patient who had been admitted to hospital. For the social image factor. a more negative attitude was revealed for those who had the experience of patient who had been admitted to hospital as compared to other factors. 6. Determinants of image of nurses : There were three factors that were named subjective. administrative and media . The mean for the subjective factor score was 3.85. the highest score of the three factors. The mean for the administrative factor score was 3.53. And the mean for the media factor score was 3.27. 7. Determinants of image of nurses according to respondents group : There were no significant differences(F= 1.95, P= .14) Consequently the result showed a low social image of nurses. So. nurses must work to improve the social image of nurses through scientific approaches and by monitoring the mass media for correct descriptions of nurses. Also. it is necessary that excellent education for service and politeness be continually provided in order to positively effect the personal image field. It is also importent to raise the expectations of the recipients of nursing care by having a strategy for the determinants of the image of nurses that allows nurses to personnally develop professionally.

• Journal of Korean Academy of Nursing
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• v.19 no.3
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• pp.273-284
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• 1989

The aim of this investigation was to delineate concepts contributing to the Exercise of Self-Care Agency (E.S.C.A.) Scale developed by Kearney & Fleischer (1979) and to test its construct validity and its predictors. The results are summarized as follows ; 1. By means of principal factor analysis and maximal likelihood factor analysis upon data generated from 280 undergraduate students, the factors of Concern about Health Knowledge, self-Concept, Information - Seeking Behavior, Decision -making and Responsibility, Self-esteem, and Passivity emerged. The total percent of variance explained by the 6 factors was 75.1% 2. To assess factor independence and instrument homogeneity, correlations among the 6 factors were computed. The correlations ranged from .24 to .46 indicating that the factors and the items were not too similar or redundant. 3. Test-retest reliability of the total scale is r＝.70. Cronbach's $\alpha$ coefficient for internal consistency of the total scale is .86 and that of the factors ranged from .750 to .661 (only factor 6 .497). 4. In additional analysis of the Exercise of Self-Care Agency Scale in relationship to Multiple Health Locus of Control, Family Environmental Scale, and Cornell Medical Index using stepwise multiple regression, the Internal Health Locus of Control Score predicted 21.8%(F＝53.34, p＝.0001), Family Environmental Score 8.3%(F＝22.59, P＝.0001), Modified Cornell Medical Index Score 5.4%(F＝15.74, P＝.0001) of the score of the E.S.C.A.

• Journal of the Korean Society of Food Culture
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• v.27 no.4
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• pp.354-366
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• 2012

The objective of this study was analyze the relationship among emotional intelligence, job attitude (job satisfaction, organizational commitment, turnover intention), and organizational performance in kitchen staff. A survey collected data from foodservice employees (N=611). Statistical analyses were completed using SPSS Win (17.0) for descriptive analysis, reliability analysis, factor analysis, t-test, correlation analysis, and AMOS (7.0) for confirmatory factor analysis and structural equation modeling. The main results of this study were as follows. The four EI (Emotional Intelligence) dimensions significantly correlated with age. The mean of the job satisfaction score was 3.24. The organizational commitment score was 3.54. The organizational commitment score was higher for 'loyalty' factor than for 'sense of belongs' factor. The mean of organizational performance score was 3.61. The four EI(Emotional Intelligence) factors were significantly correlated with job satisfaction (organizational commitment, organizational performance, and turnover intension). Structural equation modeling found that emotional intelligence had positive effects on job satisfaction, organizational commitment, and organizational performance, whereas job satisfaction and organizational performance had positive effects on organizational performance. Therefore, this study found that emotional intelligence had direct and indirect effects on organizational performance.

• Asian-Australasian Journal of Animal Sciences
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• v.27 no.6
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• pp.784-790
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• 2014

In this study we aimed to evaluate the reduction in dimensionality of 20 linear type traits and more final score in 14,943 Holstein cows in Brazil using factor analysis, and indicate their relationship with longevity and 305 d first lactation milk production. Low partial correlations (-0.19 to 0.38), the medium to high Kaiser sampling mean (0.79) and the significance of the Bartlett sphericity test (p<0.001), indicated correlations between type traits and the suitability of these data for a factor analysis, after the elimination of seven traits. Two factors had autovalues greater than one. The first included width and height of posterior udder, udder texture, udder cleft, loin strength, bone quality and final score. The second included stature, top line, chest width, body depth, fore udder attachment, angularity and final score. The linear regression of the factors on several measures of longevity and 305 d milk production showed that selection considering only the first factor should lead to improvements in longevity and 305 milk production.

• The Korean Journal of Community Living Science
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• v.22 no.4
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• pp.535-547
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• 2011

This study examined the effects of emotional intelligence and entertainer idolization on school life adjustment of middle school students. For this study, questionnaires were administered to 300 first graders attending three different middle schools. The results were analyzed using correlation and hierarchical regression analysis with SPSS/PC window program. The results were as follows. Firstly, general trends of emotional intelligence showed a slightly higher than average score. The score of entertainer idolization was relatively low and the characteristic factor score was higher than the assessment factor score. For school life adjustment, the factor having the highest influence was relationship with friends. Secondly, the most influential factor on school life adjustment was emotional regulation, followed by academic grades, emotional recognition, emotional expression, and empathy. In conclusion, the level of entertainer idolization in middle school students was moderate. The important influential factors on school life adjustment were emotional intelligence factors and academic grades. In particular, emotional regulation was found to have the greatest influence.

• Korean Journal of Clinical Laboratory Science
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• v.45 no.2
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• pp.60-65
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• 2013

Data from repeated measurements are accomplished through repeatedly processing the same subject under different conditions and different points of view. The power of testing enhances the choice of pertinent analysis methods that agrees with the characteristics of data concerned and the situation involved. Along with the clinical example, this paper compares the analysis of the variance on ex-post tests, gain score analysis, analysis by mixed design and analysis of covariance employable for repeating measure. Comparing the analysis of variance on ex post test, and gain score analysis on correlations, leads to the fact that the latter enhances the power of the test and diminishes the variance of error terms. The concluded probability, identified that the gain score analysis and the mixed design on interaction between "between subjects factor" and "within subjects factor", are identical. The analysis of covariance, demonstrated better power of the test and smaller error terms than the gain score analysis. Research on four analysis method found that the analysis of covariance is the most appropriate in clinical data than two repeated test with high correlation and ex ante affects ex post.

• Child Health Nursing Research
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• v.1 no.1
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• pp.47-58
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• 1995

This study was performed to test the validity and reliability of the Health Self-Determinism Index for Children(HSDI-C), an instrument designed to measure dimensions and strength of motivation in health behavior, to improve the applicability of the tool through application to the various samples. The convenient sample of 148 (boys=75, girls=72 third grade=42, fourth grade=22, fifth grade=32, sixth grade=52 : Caucasian=72, Asian=30, African=19) comprised the children at a chatholic elementary school in Chicago. The children completed English version of HSDI-C from December 5th, 1994 to January l0th, 1995. The findings were as follows : 1. Four factors of HSDI-C were isolated through the principal component analysis and oblique rotation, and explained 48% of the variance in total score. Low correlations among four factors were anticipated because each factor contributed uniquely, All items of the tool loaded above .30 on one of 4 factors. But items loaded on each factor in this study were very different from those in the previous studies. 2. Cronbach's alpha coefficient for internal consistency was .81 for the total items and .57∼ .81 for 4 subscales. 3. The differences of HSDI-c mean scores between boys and girls and that of among races were not statistically signifcant, but the mean score of girls and the Caucasian were relatively high. The total mean score of the scale was highest at the 3rd grade, decreased at the 4th or 5th grade, and reincreased at the 6th grade. The trend of mean score of four subscales was similar to that of total mean score. According to the results, suggested below : 1. The items loaded on each factor in this study were very different from those in the previous studies. To clear away the problem of the conceptual confusion, HSDI-C needs to be performed to various and large samples. 2. Unexpectedly, the HSDI-C mean score decreased at middle school age. A longitudinal study will be helpful to search for the change trend of the intrinsic motivation. 3. To improve the applicabilty of the HSDI-C, various reliability and validity test methods besides factor analysis or internal consistency are recommended.

• Journal of Preventive Medicine and Public Health
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• v.34 no.2
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• pp.141-148
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• 2001

Objective : To investigate the sources, extent and related factors in South Korean doctors. Methods : The study subjects were 934 doctors in Taegu, Kyungpook Province, Korea(540 independent practitioners, 105 employed at hospitals and 289 residents in training). Information concerning job stress was obtained using a 9-item questionnaire. Information regarding related factors such as demographic characteristics(age, sex, marital status), perceptions on the socioeconomic status of doctors and working conditions(work time, on-call days per week) was also obtained by self-administered questionnaire during April and May, 2000. Results : Major sources of job stress included clnical responsibility/judgement factor, patient factor and work loading factor. The job stress score of residents was the highest among three groups. The score was lower in older doctors. The score was low among those who thought doctors' socioeconomic status was not good. The longer the work time, the higher the job stress score was. Multiple regression analysis was conducted to control for the mutual influence of independent variables. In regression analysis, the score of residents was higher than practitioners. Work time and socioeconomic status perception had negative effects on job stress score. Conclusion : The average job stress score of the doctors was high. Age, work type, working conditions and perceptions of socioeconomic status were found to besignificantly related to job stress score. Although the job stress of doctors is somewhat inevitable due to the nature of the doctor's job, control of work time, development of coping tools and other intervention methods are needed to reduce job stress of doctors. Further studies are required to understand the characteristics of iob stress and reduce the job stress of doctors.