• The Korean Journal of Rehabilitation Nursing
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• v.13 no.2
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• pp.123-131
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• 2010

Purpose: This study was aimed at identifying the levels of parenting stress among mothers of children with cerebral palsy and factors influencing parenting stress. Method: The research design was cross-sectional survey. Data were collected from 122 mothers of hospitalized children (under 15 years of age) with cerebral palsy at the Y medical center using the questionnaires. The data were analyzed using one way analysis of variance with Scheffe test for post-hoc analysis or t-test, Pearson correlation, and stepwise multiple regression. Results: The mean score of parenting stress was 2.52 (SD=0.79; range: 1~4). The father's participation, mother's parenting hours, self-esteem and social support were significant predictors of parenting stress, significantly accounting for the 33.3% variance (F=16.118, p<.001). Conclusion: It is essential for health professionals to consider the aforementioned four factors when developing interventions to reduce parenting stress for mothers of children with cerebral palsy.

• Journal of Korean Public Health Nursing
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• v.35 no.3
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• pp.343-355
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• 2021

Purpose: This study aimed to identify the effects of nursing students' ethical awareness, ethical decision-making and attitude toward performance on intention about performance of infection control guidelines in pandemic infectious diseases. Methods: The survey was performed on 163 nursing students in three universities. Data were collected using a structured questionnaires and analyzed with t-test, analysis of variance (ANOVA), Pearson's correlation and multiple regression analysis. Results: Perceived health status, ethical awareness and attitude toward performance of infection control guidelines about major commitment were significant predictive variables. These variables accounted for 48.1% of the variance in major commitment. Conclusion: The findings indicate the necessity of developing educational programs to enhance nursing students's ethical awareness, and increase performance of control guidelines to prepare for the pandemic infectious diseases.

• Journal of Fisheries and Marine Sciences Education
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• v.21 no.3
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• pp.409-419
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• 2009

The purpose of this study was the examination of delinquency according to, narcissism, self-esteem, hostility and alienation of juvenile. For this, setting 172 students of an academic high school and 366 students of a vocational school(total 538) as the object of this study, the measures of Narcissistic Personality Scales, Self-Esteem Scales, Alienation Scales, and Delinquency Scales were inquired. The method of statistical analysis about these materials was composed of Two-way Analysis of Variance, One-way Analysis of Variance, and Multi-regression Analysis by using SPSS 10.0. The result, when delinquency was examined according to narcissism and self-esteem, in the case that narcissism was highest, self-esteem was lowest, delinquency was highest. When delinquency was examined according to narcissism and hostility, in the case that narcissism was highest, hostility was highest, delinquency was highest. When delinquency was examined according to narcissism and alienation, in the case that narcissism was highest, alienation was highest, delinquency was highest. And, when Multi-regression Analysis about the effect of narcissism, self-esteem, hostility and alienation on delinquency was administrated, the variation that affected delinquency significantly was narcissism, hostility and alienation. That is, we could look forward that the more narcissists feel hostility and alienation, the higher they have delinquency.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.35 no.3
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• pp.118-128
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• 2012

An attempt is given to the problem of analyzing the two-way binary attribute data using the logistic regression model in order to find a sound statistical methodology. It is demonstrated that the analysis of variance (ANOVA) may not be good enough, especially for the case that the proportion is very low or high. The logistic transformation of proportion data could be a help, but not sound in the statistical sense. Meanwhile, the adoption of generalized least squares (GLS) method entails much to estimate the variance-covariance matrix. On the other hand, the logistic regression methodology provides sound statistical means in estimating related confidence intervals and testing the significance of model parameters. Based on simulated data, the efficiencies of estimates are ensured with a view to demonstrate the usefulness of the methodology.

• Journal of the Korean Society of Clothing and Textiles
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• v.30 no.9_10 s.157
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• pp.1445-1454
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• 2006

The purpose of this study was to examine the effects of consumer-brand relationship on purchasing attitudes toward counterfeits. 341 female college students who had purchased fashion luxury brand products were surveyed. For data analysis, descriptive statistics, factor analysis, pearson's correlations, ANOVA, and multiple regression were used. As the results, consumer-brand relationship was classified into three factors; commitment relationship, trust relationship, and emotion relationship. Also, higher consumer-brand relationship was correlated with higher preference and satisfaction, and lower purchasing attitudes toward counterfeits. Also, among the three groups(heavy/middle/low) of consumer-brand relationship, the heavy group had higher preference and satisfaction, and lower purchasing attitudes toward counterfeits. Also, results revealed that 'commitment relationship' and 'emotional relationship' accounted for 32% of the explained variance in 'favorableness', while 'trust relationship' and 'emotional relationship' accounted for 26% and 29% of the explained variance in 'trust toward product quality'. Based on these results, fashion luxury brand marketing strategy would be suggested.

• Journal of the Korea Safety Management & Science
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• v.11 no.2
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• pp.117-126
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• 2009

We develop methods for propagating and analyzing EPCI(Extended Process Capability Index) by using the error type that classifies into accuracy and precision. EPCI developed in this study can be applied to the three combined processes that consist of production, measurement and calibration. Little calibration work discusses while a great deal has been studied about SPC(Statistical Process Contol) and MSA(Measurement System Analysis). EPCI can be decomposed into three indexes such as PPCI(Production Process Capability Index), PPPI(Production Process Performance Index), MPCI(Measurement PCD, and CPCI(Calibration PCI). These indexs based on the type of error classification can be used with various statistical techniques and principles such as SPC control charts, ANOVA(Analysis of Variance), MSA Gage R&R, Additivity-of-Variance, and RSSM(Root Sum of Square Method). As the method proposed is simple, any engineer in charge of SPC. MSA and calibration can use efficientily in industries. Numerical examples are presentsed. We recommed that the indexes can be used in conjunction with evaluation criteria.

• Journal of the Korea Society for Simulation
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• v.14 no.4
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• pp.9-18
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• 2005

In this paper, the system is implemented in four ways , For those who want to learn Chinese characters using the internet, and To make the learning more interesting and entertaining. Four different learning methods have been provided , using the transition process of Chinese characters, games, animations, and an illustration of the relationships between Chinese Characters and korean letters. The subjects of the evaluation were freshmen polled about the Chinese character learning system. The evaluation methods are : the validity of the research content is evaluated using the Cronbach's coefficient alpha and the performance of the system is evaluated by F-type of Analysis of variance.

• The Journal of the Korea Contents Association
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• v.7 no.7
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• pp.133-143
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• 2007

The object of this study is to empirically analyze the effects of information support quality and service quality on service satisfaction of department store. To investigate the purpose of this study, literature review and survey were conducted. for statistical analysis, factor analysis, analysis of variance(ANOVA), and regression in order by the contingency grouping method were used. In conclusion of this study are as follows First, The regression analysis had effects on information support quality and service satisfaction. Second, The Analysis of variance(ANOVA) and regression had effects on information support quality and service satisfaction as service quality factors. Result, The information support accuracy and service quality had additional effect about customer relation.

• Proceedings of the KSRS Conference
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• 2007.10a
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• pp.225-228
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• 2007

This paper presents a geostatistical methodology to model local uncertainty in spatial estimation of sediment grain size with high-resolution remote sensing imagery. Within a multi-Gaussian framework, the IKONOS imagery is used as local means both to estimate the grain size values and to model local uncertainty at unsample locations. A conditional cumulative distribution function (ccdf) at any locations is defined by mean and variance values which can be estimated by multi-Gaussian kriging with local means. Two ccdf statistics including condition variance and interquartile range are used here as measures of local uncertainty and are compared through a cross validation analysis. In addition to local uncertainty measures, the probabilities of not exceeding or exceeding any grain size value at any locations are retrieved and mapped from the local ccdf models. A case study of Baramarae beach, Korea is carried out to illustrate the potential of geostatistical uncertainty modeling.

• Journal of Power System Engineering
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• v.17 no.6
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• pp.108-114
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• 2013

This paper describes process optimization for thermal-sprayed Co-based self-flux alloy coating by Taguchi method. Co-based self-flux alloy coatings were fabricated according to $L_9(3^4)$ orthogonal array using flame spray process. Hardness test and wear test were performed, the results were analyzed by analysis of variance(ANOVA) considering a multi response signal to noise ratio(MRSN). From the results of ANOVA, the optimal combination of the flame spray parameters on Co-based self-flux alloy coating could be predicted. The calculated hardness and wear rate of the coatings by ANOVA were found to be close to that of confirmation experimental result.