• Journal of Korean Academy of Fundamentals of Nursing
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• v.25 no.1
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• pp.11-21
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• 2018

Purpose: The purpose of this study was to translate the Self-Reflection and Insight Scale (SRIS) into Korean and test its validity and reliability. Methods: Participants were 340 nursing students who were recruited from 5 nursing colleges in Korea. Data were collected from November 21 to December 20, 2016 and analyzed using the IBM Statistics SPSS 22.0 and AMOS 23.0 programs. Exploratory factor analysis, Confirmatory factor analysis, and concurrent validity analysis were performed. Results: For the Korean-SRIS (K-SRIS) 4 items were deleted from the original SRIS. The final scale consisted of 16 items which were sorted into- the 2 factors: self-reflection (11 items), insight (5 items). The cumulative percent of variance was 50.91%. The statistically significant correlation between K-SRIS scores and the Reflection in Learning Scale (RLS) support the concurrent validity of the K-SRIS. The reliability of the scale, Cronbach's ${\alpha}$ was .83. Conclusion: The finding indicate that the K-SRIS has validity and reliability. Therefore it can be used for measuring and developing reflection ability in nursing students.

• Korean Journal of Adult Nursing
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• v.26 no.2
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• pp.234-243
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• 2014

Purpose: The purpose of this study was to investigate the factors influencing the health-promoting behaviors of the people living with HIV. Methods: Descriptive cross-sectional study design was used. The study participants included 99 people living with HIV recruited via the Korea HIV/AIDS Network of Solidarity from May 15 to August 15, 2012. Self-report questionnaires were used fo data collection measuring perceived stress, depression, self-efficacy, health-promoting behaviors (HPLP-II), and the perceived health status. The analysis was done using SPSS/Win 18.0 program. Descriptive statistics, pearson correlation, t-test, ANOVA and stepwise multiple regressions were used for data analysis. Results: Perceived stress (r=-.21, p=.040), depression (r=-.37, p<.001), self-efficacy (r=.42, p<.001), perceived health status (r=.29, p=.003), and health-promoting behaviors were significantly correlated with each other. The self-efficacy, religion and perceived health status were significant factors, which explained about 26% of the variance of the health-promoting behaviors. Multiple regression analysis showed that a powerful predictor of health-promoting behaviors among people living with HIV was self-efficacy. Conclusion: This study suggested that a focus of nursing intervention program on self-efficacy is necessary in order to increase health-promoting behaviors among people living with HIV.

• Journal of Korean Society for Atmospheric Environment
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• v.10 no.E
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• pp.343-356
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• 1994

In this study, a statistical investigation was carried out for the evaluation of any relationship between polycyclic aromatic hydrocarbons (PAHss) associated with ambient aerosols and other air quality parameters under varying meteorological conditions. Daily measurements for PAHs and air quality/meteorological parameters were selected from a data-base constructed by a comprehensive air monitoring in London during 1985-1987. Correlation coefficients were calculated to examine any significant relationship between the PAHs and other individual variables. Statistical analysis was further Performed for the air quality/meteorological data set using a principal component analysis to derive important factors inherent in the interactions among the variables. A total of six components were identified, representing vehicle emission, photochemical activity/volatilization, space heating, atmospheric humidity, atmospheric stability, and wet deposition. It was found from a stepwise multiple regression analysis that the vehicle emission component is overall the most important factor contributing to the variability of PAHs concentrations at the monitoring site. The photochemical activity/volatilzation component appeared to be also an important factor particularly for the lower molecular weight PAHs. In general, the space heating component was found to be next important factor, while the contributions of other three components to the variance of each PAHs did not appear to be as much important as the first three components in most cases. However, a consistency for these components in their negative correlations with PAHs data was found, indicating their roles in the depletion of PAHs concentrations in the urban atmosphere.

• Journal of muscle and joint health
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• v.17 no.2
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• pp.142-150
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• 2010

Purpose: The purpose of this study was to examine EMG activities and VMO/VL ratio of the vastus medialis oblique, vastus lateralis, and rectus femoris during squat exercise (knee angle: 15, 45, and 60 degrees; tibial rotation: internal rotation, neutral, and external rotation). Methods: Twelve subjects performed squat exercise at each knee angle and tibial rotation while electromyographic (EMG) activity was collected. Statistical analysis consisted of two-way repeated measures analysis of variance with post hoc analysis. Results: There were significant main effects of knee angles and foot positions and interaction effect on EMG activities of vastus medialis oblique and vastus lateralis. VMO/VL ratios were significantly different by tibial rotations and there was an interaction effect. A neutral position produced significantly more VMO/VL activity ratio than that from internally rotated position and externally rotated position at 60 degrees. Conclusion: Considering the interaction effects for EMG activity across quadriceps muscles tested, the 60 degrees knee angle with a neutral foot position may provide the most effective condition for patients with acute patellofemoral syndrome.

• Journal of the Korean Geotechnical Society
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• v.19 no.2
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• pp.123-133
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• 2003

A practical statistical approach that can be used to model various sources of uncertainty systematically is presented in the context of reliability analysis of slope stability. New expressions for probabilistic characterization of soil properties incorporate sampling and measurement errors, as well as spatial variability and its reduced variance due to spatial averaging. The stochastic nature of seismic loading is studied by generating a large series of hazard-compatible artificial motions, and by using them in subsequent response analyses. The analyses indicate that in a seismically less active region such as the Korean Peninsular, a moderate variability in soil properties has an effect as large as the characterization of earthquake hazard on the computed risk of slope failure and excessive slope deformations.

• Advances in materials Research
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• v.5 no.2
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• pp.67-80
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• 2016

The objective of the present work is to optimize process parameters namely, cutting speed, feed rate, and depth of cut in milling of AISI 304 stainless steel. In this work, experiments were carried out as per the Taguchi experimental design and an $L_{27}$ orthogonal array was used to study the influence of various combinations of process parameters on surface roughness (Ra) and material removal rate (MRR). As a dynamic approach, the multiple response optimization was carried out using grey relational analysis (GRA) and desirability function analysis (DFA) for simultaneous evaluation. These two methods are considered in optimization, as both are multiple criteria evaluation and not much complicated. The optimum process parameters found to be cutting speed at 63 m/min, feed rate at 600 mm/min, and depth of cut at 0.8 mm. Analysis of variance (ANOVA) was employed to classify the significant parameters affecting the responses. The results indicate that depth of cut is the most significant parameter affecting multiple response characteristics of GFRP composites followed by feed rate and cutting speed. The experimental results for the optimal setting show that there is considerable improvement in the process.

• Proceedings of the Korea Institute of Convergence Signal Processing
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• 2000.12a
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• pp.181-184
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• 2000

The new method of feature extraction is proposed, considering the statistic feature of human voice, unlike the conventional methods of voice extraction. PCA(principal Component Analysis) is applied to this new method. PCA removes the repeating of data after finding the axis direction which has the greatest variance in input dimension. Then the new method is applied to real voice recognition to assess performance. When results of the number recognition in this paper and the conventional Mel-Cepstrum of voice feature parameter are compared, there is 0.5% difference of recognition rate. Better recognition rate is expected than word or sentence recognition in that less convergence time than the conventional method in extracting voice feature. Also, better recognition tate is expected when the optimum vector is used by statistic feature of data.

• Journal of East-West Nursing Research
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• v.24 no.2
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• pp.171-181
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• 2018

Purpose: The study aimed to validate a structural model of self-concept among children and adolescents from multicultural families. Methods: Data were collected from 325 mothers of multicultural families and their 417 children. Confirmatory factor analysis, path analysis and multiple mediation analysis with a phantom variable approach were used to assess construct validity and relations between model variables. Results: Goodness of fit indices of the modified theoretical model, the standardized ${\chi}^2$ (2.75), RMR (.02), RMSEA (.07), NFI (.90), TLI (.92), CFI (.94), GFI (.89), and AGFI (.87), met criteria. Social support and mental health problem had significant direct effects on self-concept, whereas residential environment and school adjustment had significant indirect effects, accounting in combination for 53% of the variance in self-concept. Conclusion: Based on the results, mental health problem mediated the relationships of self-concept and parenting stress.

• Journal of Korean Academy of Nursing
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• v.49 no.1
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• pp.1-13
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• 2019

Purpose: The purpose of this study was to develop and validate the Communication Behavior Scale for nurses caring for people with Dementia (CBS-D). Methods: Based on communication accommodation theory, the initial items were generated through a literature review and interviews with 20 experts. Content and face validity of the initial items were assessed. Data from 486 nurses caring for people with dementia were analyzed using item analysis, exploratory and confirmatory factor analysis, criterion-related validity, and internal consistency. Results: The final scale consisted of 18 items and four factors (discourse response management, interpersonal control, emotional expression, and interpretability) that explained 57.6% of the variance. Confirmatory factor analysis indicated that the theoretical model with 18 items satisfied all goodness-of-fit parameters. Criterion-related validity was shown by the Global Interpersonal Communication Competence Scale (r=.506, p<.001). Cronbach's alpha for the total scale was .88. Conclusion: The CBS-D can be used to measure the communication behavior of nurses caring for people with dementia.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.8
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• pp.241-249
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• 2021

The aim of the research is to evaluate the impact of social media marketing (with special reference to Facebook) on the brand preference of customers with regard to smart mobile phones. Since Facebook has become very popular today and a trend has arisen to use social media as a marketing tool, the researcher intended to evaluate the impact of social media marketing on brand preference, as the findings would provide valuable insight for future businesses. Social media as measured social media visibility, social media engagement, and social media influencewas the independent variableand brand preference was the dependent variable. The convenience sampling method was used where the sample was taken from a group of people easy to contact or to reach. A sample of 186 young males and females was selected. Factor loading and factor analysis were used to analyze the data and find the most influencing factors on brand preference. Reliability analysis, validity analysis, and regression analysiswere performed to analyze the data. The R² value is 0.320 implying that 32.00% of the variance in brand preference is explained by social media influence, social media engagement, and social media visibility. The findings show thatsocial media visibility, social media engagement, and social media influencehave a positive impact on brand preference.