• Korean Journal of Child Studies
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• v.38 no.2
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• pp.205-218
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• 2017

Objective: This study examined the correlation between variables influencing teacher sensitivity to infant classes in Educare Center teachers and teacher sensitivity, by classifying their personal psychological, socio-psychological, and work environment variables. Furthermore, it aimed to inquire the extent to which these variables influence teacher sensitivity. Methods: The study included 236 Educare Center teachers in charge of infant classes working in infant-caring facilities. Based on stepwise multiple regression analysis, a significance test was conducted for each variable. Results: Firstly, according to the correlations regarding teacher sensitivity to infant classes, for sensitive interaction, emotional stability showed significant positive correlation, while there were significant negative correlations with relationships with the director, colleagues,and parents; mean working hours in other places; and mean daily personal time. For insensitive interaction, there were significant negative correlations with emotional stability and mean daily break time, while there were significant positive correlations with relationships with the director, colleagues, and parents. Secondly, regarding the influences on teacher sensitivity to infant classes, for sensitive interaction, the most significant influences consisted in the relationships with colleagues and parents. On the other hand, for insensitive interaction, the most significant influences were the relationship with colleagues and emotional stability. Conclusion: Reducing interpersonal relationship stress and increasing the emotional stability of Educare Center teachers will increase their sensitivity level. Furthermore, the quality of care will be improved.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.27 no.1
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• pp.87-93
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• 1982

Dihaploid lines derived from the another of the $F_1$ of single cross, SC72 $\times$ Hicks (Nicotiana tabacum L.) were estimated the variation, heritablities, genetic correlations and path-co-efficients on agronomic characters and chemical compositions. Dinaploids exhibited reduced vigor and growth when comparecd with the mid-parent value but had increased nicotine contents, and the range of dihaploids characters were deviated more than that of their parents. Heritabilities of days to flowering, leaves per plant, nicotine. contents, leaf size and plant height appeared high value, and the yield, value per kg. and reducing sugar contents were low. There were positive genetic correlations between yield, and value per kg., leaf width, leaves per plant and reducing sugar contents and negative genetic correlations appeared between nicotine contents and the other characters except for index of leaf shape. Path-coefficient analysis of genotypic correlation coefficients showed that leaves per plant and leaf width lave a high direct effect, and plant height and days to flowering have a high indirect effect on yield, respectively.

• The Korean Journal of Applied Statistics
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• v.22 no.3
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• pp.617-626
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• 2009

A series of recent papers reported that the inter-gene correlations in Affymetrix microarray data sets were strong and long-ranged, and the assumption of independence or weak dependence among gene expression signals which was often employed without justification was in conflict with actual data. Qui et al. (2005) indicated that applying the nonparametric empirical Bayes method in which test statistics were pooled across genes for performing the statistical inference resulted in the large variance of the number of differentially expressed genes. Qui et al. (2005) attributed this effect to strong and long-ranged inter-gene correlations. Klebanov and Yakovlev (2007) demonstrated that the inter-gene correlations provided a rich source of information rather than being a nuisance in the statistical analysis and they developed, by transforming the original gene expression sequence, a sequence of independent random variables which they referred to as a ${\delta}$-sequence. We note in this report using two cDNA microarray data sets experimented in this country that the strong and long-ranged inter-gene correlations were still valid in cDNA microarray data and also the ${\delta}$-sequence of independence could be derived from the cDNA microarray data. This note suggests that the inter-gene correlations be considered in the future analysis of the cDNA microarray data sets.

• Journal of Sericultural and Entomological Science
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• no.12
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• pp.13-16
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• 1970

The studies were intended to clarify the correlations between the characters and the influences upon yield of mulberry trees. The analysis of covariance was used to obtain the genotypic correlations and phenotypic correlations among the eight characters namely branch length, node number, branch diameter, branch number per stock, total branch weight, old branch weight, new shoot and leaf weight, etc., and path-coefficients were calculated by Dewey's method (5). The results obtained are summarized as follows： 1. Genotypic correlations were slightly higher than the corresponding phenotypic correlations between tile characters as shown in Table 1. It could be indicated that hight leaf yield was genetically correlated with almost all characters studied except branch diameter. 2. Leaf yield of mulberry trees was mainly associated with the characters such as node number per branch, total branch weight and old branch weight, etc. 3. Branch length, branch diameter, branch number per stock and new shoot weight had little direct influence upon yield but it had rather considerable indirect in fluence upon yield by increasing the node number and total branch weight per stock. As a result, it can be concluded that total branch weight is primarily determined by branch number per stock and old branch weight, and in turn the leaf yield of mulberry trees is secondary determined by the node number by increasing the branch diameter and length which are positively correlated with branch number per stock and new shoot weight of mulberry trees.

• KIEAE Journal
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• v.12 no.6
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• pp.93-98
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• 2012

The concerns on high ozone concentration phenomenon is significantly growing in Seoul metropolitan area including the industry complex area, like Shiwha Banwol area. The aims of this research is the analysis of relationship between high concentrations of $O_3$ and solar radiation parameters in atmosphere. The understanding of the effects of solar radiation intensity, humidity, high air temperature on ozone concentration in a day is very useful to provide a direction for reducing of the high ozone concentration to a local government or a metropolitan government. The correlation analysis between maximum ozone concentration and various meteorological parameters in 2009 - 2011 carried out using IBM's SPSS program. The results showed that the mean correlations coefficient (R) between daily Ozone maximum and solar radiation resulted R = 0.64 during 2011. May - September in 10 air pollution stations. In case of correlations between daily ozone maximum and relative humidity showed negative correlation R = -0.61. The correlation analysis with mean air temperature during 1-3 PM resulted R = 0.29. This low correlation coefficient could be corrected by using of categorized data of ozone concentration. The daily maximum ozone concentration is more dependent on peak solar radiation and high air temperature during 1-3 PM than its simple daily maximum values. The results of this research would be used to develop the high ozone alert system around Seoul metropolitan area. This correlation analysis could be partially integrated to prediction of ozone peak concentration in connection with other methods like classification and regression tree(CART).

• Journal of the Korean Data and Information Science Society
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• v.25 no.5
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• pp.1025-1038
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• 2014

Linear mixed model has often been utilized for genetic association analysis with family-based samples. The correlation matrix for family-based samples is constructed with kinship coefficient and assumes that parental phenotypes are independent and the amount of correlations between parent and offspring is same as that of correlations between siblings. However, for instance, there are positive correlations between parental heights, which indicates that the assumption for correlation matrix is often violated. The statistical validity and power are affected by the appropriateness of assumed variance covariance matrix, and in this thesis, we provide the linear mixed model with flexible variance covariance matrix. Our results show that the proposed method is usually more efficient than existing approaches, and its application to genome-wide association study of body mass index illustrates the practical value in real data analysis.

• Asian-Australasian Journal of Animal Sciences
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• v.17 no.11
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• pp.1484-1490
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• 2004

Mitochondrial DNA haplotypes from the displacement-loop (D-loop) region (436 bp) were genotyped and sequenced in Japanese Black beef cattle raised in the same herd. Correlation coefficients between mitochondrial DNA haplotypes, maternal lineage, birth weight, preweaning average daily gain, weaning weight, post weaning average daily gain and yearling weight were computed. The objective was to study the relationship between maternal and postnatal growth traits and to investigate if postnatal growth of calves to yearling age could be accurately predicted from mitochondrial DNA haplotypes. Results of the phylogenetic analysis revealed 17 maternal lineages and four mitochondrial DNA haplotypes. There were strong, positive and highly significant (p<0.001) correlations among maternal traits ranging from 0.52 to 0.98. Similarly, among postnatal growth traits, most of the correlations were also strong, positive and highly significant (p<0.001); the highest correlation of 0.94 was between preweaning average daily gain and weaning weight. However, correlations between mitochondrial DNA haplotypes and postnatal growth traits were very low, mostly negative and non-significant (p>0.05) ranging from -0.05 to 0.1. Prediction of postnatal growth from mitochondrial DNA yielded very low $R^{2}$ values ranging from 0.002 to 0.019. It was concluded that mitochondrial DNA polymorphism has no significant association with postnatal growth from birth to yearling age, and by implication, nuclear rather than cytoplasmic DNA, accounts for most of the genetic variation observed in postnatal growth of Japanese Black cattle. Therefore, mitochondrial DNA genotyping at an early age has no bearing on the accurate prediction of the future growth performance of calves.

• Journal of Korea Water Resources Association
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• v.42 no.3
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• pp.227-234
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• 2009

In this study, cross correlations among sample data at each site are calculated to obtain the asymptotic cross correlations among probability weighted moments at each site using Monte Carlo simulation. As a result, the relations between the asymptotic cross correlations among probability weighted moments and the inter-site dependence among sample data at each site are nearly a linear relation with slope 1. The smaller ratio of concurrent data size to entire sample size is, the weaker the relationship grows. Simple power function which the correction term in power function accounts for the differences of the sample size between two sites was fitted to each case to estimate the parameter. It is noted that this result can be used in the various researches which include the estimation of the variance of quantile considering cross correlations.

• Korean Journal of Child Studies
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• v.16 no.1
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• pp.99-112
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• 1995

This study aimed (1) to classify Korean kindergarten childrens' attachment to their mothers based on a system for classifying attachment organization developed by Main and Cassidy (1988), and (2) to investigate the relationship of attachment and temperament and mothers' child rearing behavior. 76 kindergarteners and their mothers were observed and videotaped in the strange situation. The modified PTQ(Parent and Teacher Temperament Questionnaire) for children 3-7 years of age and the IPBI(Iowa Parent Behavior Inventory: Mother Form) were administered respectively to 76 mothers to assess their parenting behavior and their children's temperament. The data were analyzed by percentiles, Pearson's correlations, and canonical correlation analysis. Results indicated that there was a little difference between the attachment classification of Main and Cassidy(1988) and that of Korean kindergarten children. There were significant correlations between children's temperament and the attachment to their mother. And mothers' parenting behavior was significantly related to the security of attachment. The canonical correlation analysis indicated that independent variables all together accounted for about 7.5% of the variation in attachment-variables.

• Korean Journal of Child Studies
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• v.30 no.6
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• pp.549-566
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• 2009

This study developed the Place Attachment to Childhood Home Scale and evaluated its validity and reliability. Samples consisted of 418 college students of four universities. Data were collected by questionnaire based on retrospective questions about the childhood home. Factor analysis resulted in 5 dimensions of place attachment : affection, place identity, place rootedness, playfulness, and place dependence. Especially, playfulness was a unique finding. The result of confirmatory factor analysis supported the five-factor structure. There were also significant correlations among sub-factors. The reliability of the scale appeared high (Cronbach's ${\alpha}$ = .948). Criterion-related validity was confirmed by significant correlations of the present scale with Attachment Scale to Place (Hess, 1997) and the Inventory of Parent Attachment (Armsden & Greenberg, 1987).