• Journal of the Korean Home Economics Association
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• v.46 no.9
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• pp.113-123
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• 2008

The purpose of this study was to investigate how parenting and peer relationships influence the development of adolescent self-concept by using Structural Equation Modeling(SEM). The subjects were 198 first graders (94 male and 104 female) from four high schools within the Seoul area. Descriptive and comparative statistical analysis was conducted with SPSS (Version10.0), while AMOS (Version 4.0) was used to assess structural equation modelling of parenting, peer relationship and the self-concept. Results showed that, in terms of correlation, more positive parenting behaviors induced more positive self-concept. In addition, better peer relationships demonstrated more positive self-concept. Regression analysis showed that peer relationships explained the variance in adolescents' self-concept more effectively than parenting behavior. This was confirmed by the SEM.

• Journal of muscle and joint health
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• v.21 no.3
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• pp.236-245
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• 2014

Purpose: The purpose of this study was to identify influential factors on compassion fatigue in hospital nurses. Methods: A cross-sectional descriptive design was conducted with a survey of 358 general hospital nurses in Busan Gyeongnam area. For data analysis, descriptive statistics, Pearson's correlation coefficients, and multiple regression were performed using SPSS/WIN 18.0 for Windows. Results: The mean score was 28.53 in compassion fatigue. As a result of multiple regression analysis, empathic ability, stress coping strategy, current workplace, and academic background were statistically significant predictors explained 26.0% of the variance of compassion fatigue. Conclusion: It was suggested to consider emphatic ability, stress coping strategy, workplace, and academic background when developing a program available for preventing and easing nurses' compassion fatigue.

• Proceedings of the Korean Society of Propulsion Engineers Conference
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• 2010.11a
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• pp.213-216
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• 2010

A typical unsteady internal ballistic analysis model was proposed to take account of the erosive burning for a solid rocket motor. The variance of local velocity and pressure along grain surface are analyzed by using the continuity and momentum equation. The model introduced in this study showed good agreements with the results of previous internal ballistics program. It was investigated that the change of combustion pressure, gas velocity and regrestion rate along the grain axis.

• The Research Journal of the Costume Culture
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• v.4 no.2
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• pp.125-143
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• 1996

The purposes of the study were (1) to segment the female college apparel market based on clothing shopping orientation and (2) to develop a profile of each segment regard to fashion life style, information sources, clothing selection criteria, the importance of store attributes and patronage behavior. The data were collected through questionaire by random sample of 526 female college students. By cluster analysis of shopping orientation factors, four groups were identified(apathetic apparel shopper, highly involved apparel shopper, economic apparel shopper, psycho-socializing apparel shopper). Four groups were then compared through multivariate analysis of variance and chi-square statistics on 3 fashion life style factors, 11 information sources, 10 clothing selection criterias, 9 store attributes and 1 patronage behavior variable. Significant difference were found among the four groups on all these variables which indicate that clothing shopping orientation can be a useful base for segmenting female apparel market and these groups are unique in terms of the above 5 variables.

• Journal of the Korean Society for Precision Engineering
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• v.18 no.12
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• pp.130-136
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• 2001

Burrs formed during face milling operations are very hard to characterize because there are many parameters that affect the cutting process. Many researchers have tried to predict burr characteristics including burr size and shapes with various experimental conditions such as cutting speed, feed rate, in-plane exit angle, number of inserts, etc., but it still remains as a challenging problem for the complex combined effects between the parameters. In this paper, the Taguchi method, which is a systematic optimization application in design and analysis of experiments, is introduced to acquire optimum cutting parameters for burr minimization in face milling. Also, analysis of variance (AVOVA) is employed to study the performance characteristics in more detail. Experimental verifications are provided to show the effectiveness of this approach.

• Proceedings of the Korean Society of Propulsion Engineers Conference
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• 2008.11a
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• pp.221-226
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• 2008

A typical unsteady internal ballistic analysis model was proposed to take account the erosive burning with the variance of local velocity and pressure along grain surface to the axis of a solid rocket combustor. The model introduced in this study showed good agreements with the results of previous research. It was investigated that the combustion pressure, grain length, initial temperature, and vaporization temperature of propellant affect on the erosive burning.

• Proceedings of the Korean Society of Propulsion Engineers Conference
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• 2011.04a
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• pp.232-235
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• 2011

A typical unsteady internal ballistic analysis model was developed to take account the erosive burning of a solid rocket motor. The variance of local velocity and pressure along grain surface were analyzed by using the continuity and momentum equation. The coefficients of erosive burning were drew from comparing experiment data with analysis. It was investigated that the grain shapes of propellant affect the erosive burning.

• Proceedings of the KSRS Conference
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• v.2
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• pp.913-916
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• 2006

Spatial distribution, seasonal and interannual variability of chlorophyll a concentration in Okhotsk Sea from SeaWiFS data between 2001 and 2004 were describe. An Empirical Orthogonal Function method was applied for analysis data. The ten modes described about 85% of total variance. Two maxima were defined - more intensive in spring and weaker in autumn. The first mode showed zones with chlorophyll a concentration during maximum bloom. The second mode specified timing of spring bloom in various regions in Okhotsk Sea. Analysis of SeaWiFS data indicated connection between highest chlorophyll a concentration and sea surface temperature limits during spring bloom. Similar relation was not found during fall bloom.

• Journal of Home Health Care Nursing
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• v.30 no.1
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• pp.37-47
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• 2023

Purpose: This study aimed to develop an instrument that measured adherence to self-management among patients with hypertension, and to verify the validity and reliability of the developed instrument. Methods: The 34 indicators that underwent the content validity test were provided to 202 subjects for investigation The collected data were analyzed using SPSS Ver. 22.0 and Amos Ver. 25.0. Results: Five factors, 'interaction,' 'lifestyle change,' 'continuing motivation,' 'medical care', and 'weight control' were extracted, and the total cumulative variance was shown to be 61.75%. The test statistic of the regression coefficient was statistically significant according to the confirmatory factor analysis. Conclusion: It is suggested that more research is needed to generalize the instrument to suit more candidates, while continuing to refine the reliability and validity of the instrument.

• The Journal of the Korean dental association
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• v.52 no.9
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• pp.558-569
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• 2014

Sample size determination is critical, but not easy to do. Sample size defined as the number of observations in a sample to be studied should be big enough to have a high likelihood of detecting a true difference between groups. Practical procedure for determining sample size, using $G^*$power and previous dental articles, was shown in this study. Examples involving independent t-test, paired t-test, one-way analysis of variance(ANOVA), and one-way repeated-measures(RM) ANOVA were used. The purpose of this study is to enable researchers with non-statistical backgrounds to use in practice freely available statistical software G*power to determine sample size and power.