• Journal of the Korean Data and Information Science Society
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• v.17 no.4
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• pp.1119-1127
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• 2006

The purpose of this study is to identify relationship among motivation factor, hygiene factor, and job satisfaction of school meal chefs. The respondents included 155 school meal chefs in the survey. Data was analyzed by confirmatory factor analysis and cause-effect analysis among the constructs. After research model testing, the following results was obtained : hygiene factor was influenced directly and positively by the job satisfaction of school meal chefs. But motivation factor was not influenced directly and positively by the job satisfaction of school meal chefs.

• Journal of the Korean School Mathematics Society
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• v.3 no.1
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• pp.47-57
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• 2000

The purpose of this study is to investigate the degree of anxiety factors for learning mathematics and look into the reason of anxiety of mathematics and show the method of eliminating negative and anxious factors in elementary school, secondary school and high school. To have learner take an interest in learning mathematics, develop the positive attitude about learning mathematics and maximize the effect of learning of mathematics, three kinds of hypotheses are established as follows: 1. There would be difference in anxiety factor of learning mathematics according to elementary school, secondary school and high school. 2. There would be difference in anxiety factor of learning mathematics according to sex. 3. There be difference in anxiety factor of learning mathematics according to the level of achievement. The results of this study are as follows: 1. Hypotheses I was testified. The anxiety factor between mathematics learning and mathematics teacher was significant difference according to elementary school, secondary school and high school. 2. Hypotheses II was testified. The result of hypotheses II was significant difference only in high school. The anxiety factor of mathematics teacher was significant difference according to boy student and girl student. 3. Hypotheses III was testified. The anxiety factor of mathematics, teacher and test was significant difference only in elementary school and high school.

• Journal of the Korean Solar Energy Society
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• v.27 no.4
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• pp.157-165
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• 2007

Typical meteorological data is fundamental to computer simulation introduced for environment-friendly architecture designs. Therefore, in order to improve accuracy of computer simulation, typical meteorological data should be established. By examining how to choose typical meteorological data, this study selected the optimized weight factor for TRY where weighting factor was not clearly set. As a result, the same weighting factor was applied to each climatic element and TRY data where the weight factor was applied could have the distribution very similar to measurement data. The weighting factor is considered to reflect geographical characteristics of Seoul and applied climatic elements.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.26 no.3
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• pp.226-235
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• 2015

Objectives : The purpose of this study was to examine the factor structure of the Adolescent Personality Assessment Inventory (PAI-A) in a standardized adolescent sample using exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). Methods : For this purpose, three models about factor structure of the PAI-A were explored with EFA in 490 adolescents and then were evaluated with CFA in 268 young offenders. Results : The results showed that the five factor model was considered to be most appropriate for factor structures of the PAI-A in EFA. However, none of the factor models were appropriate for the factor structures of the PAI-A in CFA. Conclusion : These findings suggest that the "five factor model" is thought to explain the PAI-A the best, but further studies are needed.

• Journal of Digital Convergence
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• v.6 no.2
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• pp.41-53
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• 2008

This research is to redefine the concept of Good School and to validate an effective Good Secondary School Scale in Kyung-gi Province and Seoul. As statistical methods, SPSS 13.0 and AMOS 5.0 were used. Item Analysis and Exploratory Factor Analysis(EFA) were conducted to test the reliability of items and the factor structure. And Confirmatory Factor Analysis(CFA) was conducted to test the validity and fitness of the Good School Scale. The outcomes are as follows: First, six factors(school environment, curriculum, teacher, school-based management system, director) will increase the good schooling effectiveness. Second, As a result of Confirmatory Factor Analysis(CFA), the goodness of fit indices(GFI AGFI, CFI, RMSEA) demonstrate statistically significance and fitness of the model. The final Good School Scale supports 6 Good School Factors obtained in main test. Therefore, we can say that this scale can be used as a valid instrument to measure a real Good Schooling Effectiveness at the secondary school situation in Korea.

• Journal of Families and Better Life
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• v.30 no.5
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• pp.121-134
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• 2012

The purpose of this study was to investigate the influences of adolescents' body image and communication with their parents on the alienation of male and female middle school students. The subjects were 253 middle school students. The data were analyzed with SPSS win 18.0 using Cronbach's ${\alpha}$, t-test, one-way ANOVA, Scheff$\acute{e}$ test and stepwise regression. The findings showed that problematic communication with the father was the strongest factor in explaining the alienation of male middle school students. The second strongest factor was the middles school student's open communication with the mother, and the third strongest factor was the middle school student's perception of physical health. Unlike male students, open communication with the father was the strongest factor in explaining the alienation of female middle school students. Problematic communication with the mother was the second strongest factor. Perception of physical appearance was the third strongest, and perception of physical health was the fourth strongest factor. Based on the results of the study, implications were discussed in terms of the alienation of male and female middle school students.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.2
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• pp.653-664
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• 2011

In this study, I collected materials through the survey whose object is 573 students of technical high schools and 512 students of academic high schools in Seoul and Kyunggi areas, for examining dangerous factors and protective factors which influence on school resilience in technical high schools. The studying results are as followed. First, as the result of analyzing correlation between school resilience and dangerous factor, the higher dangerous factor was, the lower school resilience was. Second, as the result verifying the effects of dangerous factor on school resilience, discrimination of teacher, delinquency bond and anti-sociality made an effect on students in technical high schools and discrimination of teacher, delinquency bond and depression made an effect on students in academic high schools. Third, as the result analyzing correlation between school resilience and protective factor, the higher protective factor was, the higher school resilience was. Forth, as the result verifying the effects of protective factor on school resilience, support of teacher, democratic atmosphere of school, sense of responsibility, family cohesion, self-worth, rational supporting attitude made an effort on students in technical high schools and support of teacher, democratic atmosphere of school, sense of responsibility and family cohesion made an effect on students in academic high schools. Fifth, as the result analyzing the difference between dangerous factor and protective factor according to grade of school and standard of school resilience, there was an interaction in variables of anti-sociality, depression, delinquency bond and self-worth.

• Journal of The Korean Association For Science Education
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• v.27 no.1
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• pp.9-17
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• 2007

This study sets out to assess the scientific literacy of secondary school students and to describe their differences according to gender, grade, course. This study involved 112 middle school students and 213 high school students. Their scientific literacy was measured by the Scientific Literacy Test designed by Manhart (1997). A 70-item multiple-choice test was used to assess their scientific literacy. The constructs of science factor included 36 items making up physical science, life science, and earth science subtests. The social aspects of science factor consisted of 34 items in nature of scientific inquiry/knowledge, science as a human endeavor, science and technology, and societal perspectives. A two-way analysis of variance (ANOVA) and t-test were conducted using the SPSS program. The scientific literacy score of the middle school students was 45.17. There was no significant difference according to gender but boys tended to perform better than girls on both the constructs of science factor and the social aspects of science factor. The scientific literacy score of the high school students was 51.79. There was no significant difference according to gender. But, boys tended to perform better than girls on the constructs of science factor. Girls tended to perform better than boys on the social aspects of science factor. The students taking a course on natural science got statistically higher scores than the students taking a course on humanities. The high school students got statistically higher scores than the middle school students.

• Molecules and Cells
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• v.44 no.5
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• pp.342-355
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• 2021

The microphthalmia-associated transcription factor family (MiT family) proteins are evolutionarily conserved transcription factors that perform many essential biological functions. In mammals, the MiT family consists of MITF (microphthalmia-associated transcription factor or melanocyte-inducing transcription factor), TFEB (transcription factor EB), TFE3 (transcription factor E3), and TFEC (transcription factor EC). These transcriptional factors belong to the basic helix-loop-helix-leucine zipper (bHLH-LZ) transcription factor family and bind the E-box DNA motifs in the promoter regions of target genes to enhance transcription. The best studied functions of MiT proteins include lysosome biogenesis and autophagy induction. In addition, they modulate cellular metabolism, mitochondria dynamics, and various stress responses. The control of nuclear localization via phosphorylation and dephosphorylation serves as the primary regulatory mechanism for MiT family proteins, and several kinases and phosphatases have been identified to directly determine the transcriptional activities of MiT proteins. In different immune cell types, each MiT family member is shown to play distinct or redundant roles and we expect that there is far more to learn about their functions and regulatory mechanisms in host defense and inflammatory responses.

• Proceedings of the KIEE Conference
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• 2004.07c
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• pp.2090-2092
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• 2004

In this paper, the new measurement methodology of characteristics of the vibratory micro gyroscope using Quality factor and the resonant displacement was proposed. Because the Quality factor has a large error under the high Quality factor condition, it is difficult to analyze the characteristics of the vacuum packaged vibratory micro gyroscopes with the Quality factor. We analyzed mechanical characteristics of gyroscope with the value of Quality factor. We described measurement errors of mechanical characteristics of micro gyroscopes. The measured value of Quality factor is 47532 and error range of Quality factor is from -29.8 % to 73.9 %. The value of resonant displacement is 3.4${\mu}m$ and the measurement error is 2.9 %. From the result of Quality factor degradation and resonant displacement degradation, 1698 days and 1503 days were estimated as Time To Failure (TTF), respectively. The range of estimation error of Quality factor degradation and resonant displacement degradation is calculated from 1246 days to 1832 days and from 1456 days to 1537 days, respectively. We can analyze the characteristics of the vibratory gyroscope using the quality factor when the Quality factor is smaller than 10,000. Also we can analyze that using the resonant displacement when the Quality factor is larger than 10,000.