• Journal of Korean Public Health Nursing
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• v.18 no.1
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• pp.61-73
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• 2004

This study is intended to suggest fundamental data necessary for developing MBTI program that can help improve interpersonal relation skills of nursing science major students and their cohesion. This study is pre-experimental research by one group pretest-post test design to examine the effect of MBTI(Myers and Briggs Type Indicator) basic program on the interpersonal relationship between nursing science major students and their group cohesion and the relationship between interpersonal relationship and their group cohesion. I selected 39 of sophomore students in the department nursing science of K university in I metropolitan city as test group. 35 of them joined post-test. Pretest and MBTI basic program were done before conducting MBTI program. Collected data were analyzed by SPSS window 7.5. The difference in test group before and after conducting program was examined by paired t-test. The correlation between interpersonal relationship and group cohesion was measured by using Pearson Correlation Coefficient. The findings are as follows. $\cdot$ The difference before and after conducting MBTI program by sub-factors of interpersonal relation: There was no significant difference, as the average figure of interpersonal relation in test group was 87.22 before conducting MBTI and 85.08 after conducting MBTI respectively. The average figure of sensitivity among the sub-factors of interpersonal relation was 7.71 before conducting MBTI and reduced to 7.08 after conducting MBTI and there was significant difference between before and after conducting MBTI(t=-2.484, p=.018) $\cdot$ The difference in group cohesion before and after conducting MBTI program: The average figure of group cohesion in test group was 56.68 before conducting MBTI and increased a bit to 56.80 after conducting MBTI\, but there was no significant difference between them. $\cdot$ The relationship between interpersonal relationship and group cohesion before and after conducting MBTI: As the relationship between interpersonal relationship and group cohesion before and after conducting MBTI is examined, there was positive correlation of the significance level. p<.05 before conducting MBTI(r=.320, p=.047), and of the significance level, p<.01 after conducting MBTI(r=.780, p=.000). The investigation on the relation between sub-factors of group cohesion and of interpersonal relation before conducting MBTI basic program revealed that there was positive correlation between openness, reliability, friendliness and satisfaction, and group intervention, between receptivity among group members and reliability, and between group atmosphere and satisfaction. The investigation on the relation between sub-factors of group cohesion and of interpersonal relation after conducting MBTI basic program revealed that there was positive correlation between openness, communication, understanding, friendliness and satisfaction. and group intervention. There was positive correlation between receptivity among group members and openness, communication, understanding, friendliness and satisfaction. There was positive correlation between openness, communication, friendliness and satisfaction, and group atmosphere. Based on the above findings, I realize that MBTI basic program is essential to the improvement of group cohesion. In addition, it is shown that the sub-factors of interpersonal relation such as openness, communication, friendliness, satisfaction, and understanding, and the sub-factors such as group intervention and receptivity among group members are major factors to improve interpersonal relationship and group cohesion. So, the future MBTI program should include sub-programs that deal with the above factors to improve interpersonal relationship and group cohesion.

• Journal of the Korean Society of School Health
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• v.17 no.1
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• pp.13-24
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• 2004

Purpose : This study was undertaken in order to find out the actual correlation between skipping breakfast of school-aged children and their mothers. Method : The subjects of this study were 724 children and their mothers. The subjects were selected from two schools out of six offices of education in Busan between December 1 and December 20, 2002. The collected data was analyzed through real numbers, percentage, mean and standard deviation, cross tabulation, $\chi^2$-test, t-test, F-test, Scheffe-test and Pearson correlation coefficient using the SPSSWIN 11.0. Results : The results of this study are summarized as follows. 48.6% of children skipped breakfast while 54.7% of mothers skipped breakfast. The case that both children and mothers skipped breakfast were 37.1%. The correlation of children's skipping breakfast and their mothers characteristics was statistically significant(r=.288(p<0.001). There was relationship between the life styles of children and their mothers, but there was no relationship between life styles and the frequency of skipping breakfast. Conclusion : children are affected by or depend on their mothers eating habits and other tendencies in daily life.

• The Journal of Korean Physical Therapy
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• v.20 no.4
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• pp.1-6
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• 2008

Purpose: We studied the correlation between BBS (Berg Balance Scale), Functional Reach Test (FRT), Timed-Up & Go test (TUG), Stability Index (STI), MBI (Modified Barthel Index), and Fall History. Methods: We recruited 20 stroke patients from the Gang Dong Gu Health Care Center in Seoul, Korea. All subjects could walk with or without an assisting device. Subjects first completed a questionnaire pertaining to their fall history and Activity of Daily Living (MBI), and then were evaluated with BBS, TUG, FRT, and STI. We used the Tetrax posturography system that calculates a STI based on fluctuations in vertical ground reaction forces. The data were analyzed using a Pearson Correlation Coefficient. Results: The BBS and FRT (p<0.05) and MBI (p<0.01) showed a significant positive correlation. BBS negatively correlated with STI and TUG (p<0.01). Fall history and BBS, TUG, MBI, FR, STI did not correlate. Conclusion: The BBS helps predict weight shifting, walking, and ADL, but is not good for predicting fall risk. So, we need to study about factors that affect falling.

• Journal of Yeungnam Medical Science
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• v.35 no.1
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• pp.63-69
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• 2018

Background: Kinovea software that tracking semi-automatically the motion in video screen has been used to study motion-related tasks in several studies. However, the validation of this software in open field test to assess locomotor activity have not been studied yet. Therefore, this study aimed to examine the reliability and validity of this software in analyzing locomotor activities. Methods: Thirty male Institute Cancer Research mice were subjected in this study. The results examined by this software and the classical method were compared. Test-retest reliability and inter-rater reliability were analyzed with Pearson's correlation coefficient and intraclass correlation coefficient (ICC). The validity of this software was analyzed with Pearson's correlation coefficient. Results: This software showed good test-retest reliability (ICC=0.997, 95% confidence interval [CI]=0.975-0.994, p<0.001). This software also showed good inter-rater reliability (ICC=0.987, 95% CI=0.973-0.994, p<0.001). Furthermore, in three analyses for the validity of this software, there were significant correlations between two methods (Pearson's correlation coefficient=0.928-0.972, p<0.001). In addition, this software showed good reliability and validity in the analysis locomotor activity according to time interval. Conclusion: This study showed that this software in analyzing drug-induced locomotor activity has good reliability and validity. This software can be effectively used in animal study using the analysis of locomotor activity.

• Journal of the Korean Wood Science and Technology
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• v.49 no.6
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• pp.541-549
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• 2021

This paper reports a method to evaluate the residual strength of insect-damaged radiata pine lumber, such as the screw withdrawal strength as a semi-destructive method and a compression parallel to the grain test to assess the density changes after exposure to outdoor conditions. The screw withdrawal strength test was used as a semi-destructive method to estimate the residual density of decayed lumber. A compression parallel to the grain test was applied to evaluate the residual density. Three variables, such as the screw withdrawal strength, compression parallel to the grain, and residual density, were analyzed statistically to evaluate their relationships. The relationship between the residual density and screw withdrawal strength showed a good correlation, in which the screw withdrawal strength decreased with decreasing density. The other relationship between the residual density and compression parallel to the grain was also positively correlated; the compression parallel to the grain strength decreased with decreasing density. Finally, the correlation between the three variables was statistically significant, and the mutual correlation coefficients showed a strong correlation between the three variables. Hence, these variables are closely correlated. The test results showed that the screw withdrawal strength could be used as a semi-destructive method for an in situ estimation of an existing wood structure. Moreover, the method might approximate the residual density and compression parallel to the grain if supplemented with additional data.

• Journal of the Korean Society for Precision Engineering
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• v.32 no.12
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• pp.1039-1047
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• 2015

Contact type sensors (e.g., displacement sensor and strain gauge) were typically used to evaluate the safety and mechanical properties in machines and construction. However, those contact type sensors have been constrained because of measurement problems such as surface roughness, temperature, humidity, and shape. The Digital Image Correlation (DIC) measurement system is a vision measurement system. This measurement system uses the taken image using a CCD camera and calculates the image correlation between the reference image and the deformed image under external force to measure the displacement and strain rates. In this paper, we discuss methods to improve the measurement precision of the digital image correlation measurement system. A tensile test was conducted to compare the precision improvement effects, by using the universal test machine and the DIC measurement system, with the use of subpixel algorithms, i.e., the Coarse Fine Search (CFS) algorithm and the Peak Finding (PF) algorithm.

• Journal of Korean Home Economics Education Association
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• v.14 no.3
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• pp.51-64
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• 2002

The Purposes of This Study is to investigate the relationships among Multiple Intelligence(MI). Creativity and Home Economics achievements of the middle & high school students. The research of this study are performed as follows Subject of this study were 142 middle school student & 127 girls' high school. And The “Creativity Test” developed by Korean Creativity Research Institute(1998). Multiple Developmental Assesment scale were administrated as data gathering tools And end-term exam scores on 9 subject were collected as the measure of academic achievement. Especially the Home Economics achievement were collected with Written test and performance assesment. The data were analysed by pearson's correlation. The findings of this study were as follows: 1) A statistically significant correlation among the MI and Home Economics achievements in middle school students(linguistic, Logical-mathematical. Musical. Interpersonal, Intrapersonal) and high school students(linguistic, Logical-mathematical, Interpersonal) were found. But There were not statistical difference between another 8 subjects. 2) In middle school students. a statistically significant correlation among the creativity and Home Economics achievements were found But in high school students, statistically significant correlation among the creativity and Home Economics achievements were not found 3) In MI and Home Economics achievements correlation. there were not difference between written test and performance assesment.

• Journal of Korean Institute of Industrial Engineers
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• v.41 no.6
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• pp.579-587
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• 2015

Semiconductor manufacturing industry is a high density integration industry because it generates a vest number of data that takes about 300~400 processes that is supervised by numerous production parameters. It is asked of engineers to understand the correlation between different stages of the manufacturing process which is crucial in reducing production costs. With complex manufacturing processes, and defect processing time being the main cause. In the past, it was possible to grasp the corelation among manufacturing process stages through the engineer's domain knowledge. However, It is impossible to understand the corelation among manufacturing processes nowadays due to high density integration in current semiconductor manufacturing. in this paper we propose a canonical correlation analysis (CCA) using both wafer test voltage variables and fail bit counts variables. using the method we suggested, we can increase the semiconductor yield which is the result of the package test.

• Structural Engineering and Mechanics
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• v.87 no.5
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• pp.419-429
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• 2023

This study conducts numerical analyses of a thin-walled composite cylinder under axial compression and internal pressure of 10 kPa. Numerical vibration correlation technique and nonlinear postbuckling analyses are conducted using the nonlinear finite element analysis program, ABAQUS. The single perturbation load approach and measured imperfection data are used to represent the geometric initial imperfection of thin-walled composite cylinder. The buckling knockdown factors are derived using present initial imperfection and analysis methods under axial compression without and with the internal pressure. Furthermore, the buckling knockdown factors are compared with the buckling test and computation time are calculated. In this study, derived buckling knockdown factors in present study have difference within 10% as compared with the buckling test. It is shown that nonlinear postbuckling analysis can derive relatively accurate buckling knockdown factor of present thin-walled cylinders, however, numerical vibration correlation technique derives reasonable buckling knockdown factors compared with buckling test. Therefore, this study shows that numerical vibration correlation technique can also be considered as an effective numerical method with 21~91% reduced computation time than nonlinear postbuckling analysis for the derivation of buckling knockdown factors of present composite cylinders.

• Journal of the Korea Society of Computer and Information
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• v.22 no.4
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• pp.115-122
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• 2017

The purpose of this study was to evaluate the effect of job satisfaction on turnover intention and organizational commitment in nurses through a systematic literature review and meta-analysis. For the study purpose, 26 studies were selected through a systematic process of using several databases and used to estimate the effect size of correlation between 3 variables. Meta-analysis was applied by usingcrandom effects model, and effect sizes on three types were calculated. Results are as follows. First, the effect size of correlation between job satisfaction and turnover intention is -.58. Second, the effect size of correlation between job satisfaction and organizational commitment is .77. Third, for the organizational commitment and turnover intention relationship, the effect of correlation is -0.68. Furthermore, publication bias analysis were assessed the results by using the funnel plot, Egger's regression test, fail-safe N, and trim-and-fill test. Based on these results, implications for the study were discussed.