• Korean Journal of Child Studies
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• v.21 no.3
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• pp.5-23
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• 2000

This study of the characteristics and the relationships of children's emotional intelligence (EQ) and self-esteem had a sample of 1060 5th grade children. The rank order of four EQ factors from highest to lowest was "perception of emotion", "other-regulation and self-expression", "self-regulation and emotion utilization", and "empathy". Among self-esteem factors, "general self-worth" had the highest correlation with overall self-esteem; "physical appearance" was most strongly correlated with "general self-worth". Relationships between EQ and self-esteem showed that higher EQ was associated with higher self-esteem. Among EQ factors, "other-regulation and self-expression" was the strongest predictor of "behavioral conduct." The next strongest predictor of self-esteem among EQ factors was "self-regulation and utilization of emotion". Other self-esteem factors well predicted by EQ were "general self-worth", and "scholastic competence".

• Research in Mathematical Education
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• v.18 no.2
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• pp.129-148
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• 2014

In this study, we examined the relationships among years of teaching experience, professional rank, number of courses taken, and knowledge of algebra for teaching (KAT). 338 in-service and 376 pre-service secondary mathematics teachers in China completed a KAT questionnaire. Various statistical techniques were employed to examine these relationships. The pre-service participants teachers performed statistically significantly higher in advanced mathematics knowledge than their in-service counterparts. Among the inservice teachers, senior teachers had scored higher in school mathematics and teaching mathematics, compared with junior teachers. Yet participants' advanced mathematics knowledge decreased as their professional rank advanced or their teaching experience increased. The number of courses taken has significantly positive correlation with school mathematics knowledge and advanced mathematics knowledge. The implications of these findings for mathematics teacher education are discussed.

• Journal of the Korean Home Economics Association
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• v.48 no.1
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• pp.15-26
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• 2010

The purpose of this study was to investigate the relationships between mothers' parenting efficacy and parenting behaviors, home environment, and preschool children's learning behaviors. The participants consisted of 244 preschool children and their mothers in Seoul and GyeongGi-Do. The children's teachers rated the learning behaviors of each child whose mother returned our questionnaire. The collected data were subjected to general descriptive statistical analysis, t-test, one-way ANOVA, and Pearson's productive correlation. Results showed that learning behaviors of preschool children were affected by their sex, age, and mother's education. In addition, there were negative relationships between mothers' parenting efficacy, parenting behaviors, and learning behaviors of preschool children.

• Journal of Biosystems Engineering
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• v.30 no.1 s.108
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• pp.45-55
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• 2005

Knowledge of the relationship between crop yield and yield-limiting factors is essential for precision farming. However, developing this knowledge is not easy because these yield-limiting factors are interrelated and affect crop yield in different ways. In this study, data for grain yield and yield-limiting factors, including crop chlorophyll content, soil chemical properties, and topography were collected for a small (0.3 ha) rice paddy field in Korea and a large (36 ha) upland corn field in the USA, and relationships were investigated with path analysis. Using this approach, the effects of limiting factors on crop yield could be separated into direct effects and indirect effects acting through other factors. Path analysis provided more insight into these complex relationships than did simple correlation or multiple linear regression analysis. Results of correlation analysis for the rice paddy field showed that EC, Ca, and $SiO_2$ had significant (P<0.1) correlations with rice yield, while pH, Ca, Mg, Na, $SiO_2,\;and\;P_2O_5$ had significant correlations with the SPAD chlorophyll reading. Path analysis provided additional information about the importance and contribution paths of soil variables to rice yield and growth. Ca had the highest direct effect (0.52) and indirect effect via Mg (-0.37) on rice yield. The indirect effect of Mg through Ca (0.51) was higher than the direct effect (-0.38). Path analysis also enabled more appropriate selection of important factors limiting crop yield by considering cause-and-effect relationships among predictor and response variables. For example, although pH showed a positive correlation (r=0.35) with SPAD readings, the correlation was mainly due to the indirect positive effects acting through Mg and $SiO_2$, while pH not only showed negative direct effects, but also negatively impacted indirect effects of other variables on SPAD readings. For the large upland Missouri corn field, two topographic factors, elevation and slope, had significant (P<0.1) direct effects on yield and highly significant (P<0.01) correlations with other limiting factors. Based on the correlation analysis alone, P and K were determined to be nutrients that would increase corn yield for this field. With the help of path analysis, however, increases in Mg could also be expected to increase corn yield in this case. In general, path analysis results were consistent with published optimum ranges of nutrients for rice and com production. We conclude that path analysis can be a useful tool to investigate interrelationships between crop yield and yield limiting factors on a site-specific basis.

• Transactions of Materials Processing
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• v.20 no.2
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• pp.124-131
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• 2011

A flexible stretch forming process is useful for small quantity batch production because various shape changes of the flexible die can be achieved conveniently. In this study, the design variables, namely, the punch size, curvature radius and elastic pad thickness, were quantitatively evaluated to understand their influence on sheet formability using statistical methods such as the correlation and regression analyses. Forming simulations were designed and conducted by a three-way factorial design to obtain numerical values of a shape error. Linear relationships between the design variables and the shape error resulted from the Pearson correlation analysis. Subsequently, a regression analysis was also conducted between the design variables and the shape error. A regression equation was derived and used in the flexible die design stage to estimate the shape error.

• Korean Journal of Adult Nursing
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• v.27 no.3
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• pp.367-374
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• 2015

Purpose: This study aimed at understanding the correlation between self-esteem, death anxiety, and spiritual wellbeing in university students. Methods: Cross-sectional method was used 671 students in South Korea. This study used the Self-esteem developed by Rosenberg, the Fear of Death Scale revised by Lester and Abdel-Khalek, and Spiritual wellbeing developed by Paloutzian and Ellison. Results: Relationships between self-esteem, death anxiety, and spiritual wellbeing revealed an inverse correlation between self-esteem and death anxiety, and a direct correlation between self-esteem and spiritual wellbeing. Conclusion: In order for students of establishing identity to lead a healthy life, there is a need for studies aiming at developing, implementing, and evaluating the results of consultation and education programs for maintaining spiritual wellbeing such as psychological counseling and logotherapy at the university or regional community level.

• Journal of Korean Society on Water Environment
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• v.22 no.5
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• pp.831-837
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• 2006

The present study applies wavelet transform for the extraction of various periodicities which are included in TOC and pH time series of water quality and rainfall data. The primary objective of the present study is to detect the relationships between the respective data through the correlation analysis using the approximation components which are decomposed by wavelet transform. The results reveal the approximation components of TOC and pH in the 5th level of wavelet transform can explain more than 99% of the whole energy for the raw data respectively and there are considerably high correlation between the approximation components of the respective data used for the study even through no significant correlation between the raw data has been detected.

• Journal of the Korean Home Economics Association
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• v.47 no.5
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• pp.1-11
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• 2009

The purpose of this study was to examine the relationship between preschoolers’ self-perception, peer competence and giftedness. The subjects in this study were 101 preschoolers between the ages of 4 and 5 who attended childcare centers and private kindergartens in Pohang city area. The major findings of this study were as follows: Firstly, there were significant negative correlation between cognitive ability variables of self-perception and aggressive and asocial variables of peer competence. Secondly, there were significant positive correlation between cognitive ability variables of self-perception and humor variables of giftedness. Furthermore there were significant positive correlation between mother acceptance variables of selfperception and logical thinking, task commitment and humor variables of giftedness. Finally, there were significant negative correlation between hyper-distractible variables of peer competence and independence variables of giftedness.

• The Korean Journal of Zoology
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• v.24 no.2
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• pp.91-98
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• 1981

It has been confirmed that two dendrograms resulted from two similarity matrices, average taxonomic distance and correlation coefficient matrices, are different with each other when cluster analyses were performed with 571 adults of deer mice, Peromyscus maniculatus using 30 morphometric characters. To choose one of two similarity matrices mentioned above in order to construct a dendrogram representing phenetic relationships among taxa, an objective method using the result from principal component analysis as a standard result to compare with two matrices has been suggested.

• Journal of Korean Society on Water Environment
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• v.27 no.3
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• pp.257-263
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• 2011

This study analyzes the correlations between non-point sources and runoff to estimate non-point sources for effective management. From the monitoring results, the correlation factors among pollutant mass loading, EMC, total runoff volume and average flow are calculated. And using correlation factors, the most related two constituents are determined. Also the most appropriate regression between two constituents are determined. Pollutant mass loading and total runoff volume has the highest correlation. Also, compound regression is found to be the most appropriate regression. This shows that pollutant mass loading increases as total runoff volume increases. It is not continuous increase but has some pattern.