• Child Health Nursing Research
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• v.24 no.4
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• pp.506-516
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• 2018

Purpose: The purpose of this study was to investigate psychological capital, sense of community and stress in relation to school adjustment and to identify factors influencing school adjustment in middle school students. Methods: This study population consisted of 150 middle school students. Data were analyzed using t-test, analysis of variance, Pearson correlation coefficient, and multiple regression analysis. Results: The mean score for school adjustment in middle school students was 3.68 out of 5 points. School adjustment explained 34% of the variance in sense of community (${\beta}=.39$, p<.001), positive psychological capital (${\beta}=.35$, p<.001), academic performance (${\beta}=.26$, p<.001), and stress (${\beta}=-.21$, p<.001). Conclusion: The results of our research suggest that sense of community is an important variable influencing school adjustment in middle school students. Therefore, to promote school adjustment in middle school students, it is necessary to develop and implement active educational strategies promoting sense of community, positive psychological capital, academic perfomance, and controlling stress.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2005.05a
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• pp.975-982
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• 2005

The purpose of the Gage R&R study is to determine whether a measurement system is adequate for monitoring a process. If the measurement system variation is small relative to the process variation, then the measurement system is deemed 'adequate'. The sources of variation associated with the measurement system are compared using an analysis of variance (ANOVA) model, in general. A typical ANOVA model used in a standard Gage R&R study is the two-factor random effect model. Then, the ANOVA partitions the total variation into three categories: repeatability, reproducibility, part variation. However, if the process variation possesses the between group variation, within group variation, and within-part variation, these variations can cause the measurement system evaluation to provide misleading results. That is, in the standard Gage R&R study these variations affect the estimate of repeatability, reproducibility, or both. This paper presents a four-factor nested factorial ANOVA model which explicitly considers these variations for the Gage R&R study. The variance component estimates are derived by setting the EMS equations equal to the corresponding mean square from the ANOVA table and solving. And the proposed model is compared with the standard Gage R&R model.

• IE interfaces
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• v.18 no.4
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• pp.444-453
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• 2005

The purpose of the Gage R&R study is to determine whether a measurement system is adequate for monitoring a process. If the measurement system variation is small relative to the process variation, then the measurement system is deemed "adequate". The sources of variation associated with the measurement system are compared using an analysis of variance (ANOVA) model, in general. A typical ANOVA model used in a standard Gage R&R study is the two-factor random effect model. Then, the ANOVA partitions the total variation into three categories: repeatability, reproducibility, part variation. However, if the process variation possesses the between group variation, within group variation, and within part variation, these variations can cause the measurement system evaluation to provide misleading results. That is, in the standard Gage R&R study these variations affect the estimate of repeatability, reproducibility, or both. This paper presents a four-factor nested factorial ANOVA model which explicitly considers these variations for the Gage R&R study. The variance component estimators are derived by setting the EMS equations equal to the corresponding mean square from the ANOVA table and solving. And the proposed model is compared with the standard Gage R&R model.

• International Journal of Industrial Entomology and Biomaterials
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• v.14 no.1
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• pp.23-32
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• 2007

The nature of genetic variation and diversity among the 65 multivoltine silkworm genotypes was evaluated for 16 post cocoon characters. The components of genetic variation revealed higher PCV (60.487%) and GCV (44.56%) for evenness (variation 1) followed by cohesion (PCV=55.38%, GCV=40.36%) and non-broken filament length (PCV=32.05%, GCV=31.28%). The higher heritability ($h^2$ in broad sense) was observed for boil-off loss (95.6%) followed by non-broken filament length (95.22%). The both genotypic and phenotypic correlation indicated significant positive correlation of filament length with non-broken filament length, silk recovery, raw silk, neatness, and low neatness; and negative correlation with denier, renditta and silk waste. The principal component analysis (PCA) revealed 75.381 % of total variance from the five principal components extracted. On the basis of Mahalonobis' $D^2$ values (Ward's minimum variance), the sixty-five multivoltine silkworm genotypes were classified in to 9 clusters with substantial inter and intra cluster distances. Number of genotypes included in different clusters varied from 3 to 17. The results indicated that the optimum distance obtained in cluster VII (15.059) along with higher cluster mean values especially for filament length, non broken filament length, renditta, silk recovery, silk waste, and raw silk emphasized the utilization of these genotypes in the conventional silkworm breeding programme for improvement of multivoltine silk fibre quality. The possibility of exploiting genetic variation in post cocoon traits for efficient breeding programme is discussed.

• Child Health Nursing Research
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• v.24 no.2
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• pp.199-207
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• 2018

Purpose: The purpose of this study was to investigate resilience, coping, and mental health in relation to burnout and to identify factors influencing burnout in student nurses. Methods: A descriptive correlational study was conducted. The participants were 241 student nurses from 2 universities in B city. Data were analyzed using the t-test, analysis of variance, the Pearson correlation coefficient, the $Scheff{\acute{e}}$ test, and multiple regression analysis. Results: The mean score for burnout in student nurses was 3.01 out of 5 points. Burnout explained 29.2% of the variance in satisfaction with college life (${\beta}=-.367$, p<.001), coping (${\beta}=.293$, p<.001), mental health (${\beta}=.228$, p=.011), and training hospital (${\beta}=-.198$, p=.026). Conclusion: The results of our research suggest that satisfaction with college life is an important variable affecting burnout student nurses. Therefore, education is needed in order to develop for more effective teaching coping methods and strategies and to reduce burnout with nursing practice.

• Human Ecology Research
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• v.52 no.2
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• pp.151-164
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• 2014

This study was conducted to explore the relationships between the elderly's existential identity and psychological well-being in accordance with the elderly's age-identity so as to improve the quality of life in the elderly with prolonged lives. The data were collected from respondents who were more than 60 years in age who live in city Suncheon. The statistics used for the data analysis were reliability, frequency, percentage, mean, standard deviation, one way analysis of variance, and multiple regression. The results of this study were as follows: (1) A majority of the elderly (49.8%) acknowledged psychological age as actual age. (2) The degrees of the elderly's existential identity was 54.90, while the degree of the elderly's psychological well-being was 33.07. (3) The elderly's existential identity level was significantly affected by economic state, spouse, age-identity, monthly living expenses, household, religion, career, age, and health state. Further, the elderly's psychological well-being level was significantly affected by existential identity, economic state, spouse, health state, age-identity, monthly living expenses, household, education, career, and age. (4) The variables that affect the elderly's existential identity were age-identity, economic state, health state, religion, monthly living expenses, and career, indicating an explanatory power of 38%. Moreover the variables that affect the elderly's psychological well-being were existential identity, age-identity, economic state, health state, and monthly living expenses, explaining approximately 55% of the total variance.

• Journal of Navigation and Port Research
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• v.35 no.2
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• pp.149-157
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• 2011

The objective of this study was to compare the attitude of merchant marine student of Thailand in 3 aspects; cognitive, affective and behavioral classified by institutes, domiciles, parent's occupation, parent's income per month, motivation and information receiving concerning mariner profession. The sample used in this study consisted of 867students in maritime institutes of Thailand. The instrument implemented in collecting data was a set of 30 five rating scale questionnaires. The statistical methods applied in analyzing the data were mean, standard deviation, t-test and one way analysis of variance and fisher's LSD. The results of this research shows that the attitude in vocational education of Thai merchant marine student was of the high in every aspect. Attitude for mariner profession of Thai merchant marine student in terms of different institutes had different in all aspects. In terms of different domiciles, it shows different attitude in affection and similar attitude in cognition and behavior. In terms of parent's occupation, it shows similar in all aspects. In terms of parent's income per month, it shows different attitude in cognition and affection and similar attitude in behavior. In terms of motivation, it shows similar in all aspects. In terms of information receiving concerning mariner profession, it shows different attitude in all aspects.

• Korean Journal of Occupational Health Nursing
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• v.28 no.2
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• pp.104-113
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• 2019

Purpose: This study aimed to investigate the factors affecting general hospital nurses' intention to stay in their jobs. Methods: A descriptive research design was used with a convenience sample of 286 nurses. Data were collected from March 15 to April 14, 2017using self-reported questionnaires and analyzed by descriptive statistics, t-test, analysis of variance, Pearson's correlation coefficient, and multiple regression analysis using the SPSS/WIN 21.0 program. Results: The mean scores for intention to stay, resilience, and emotional labor were 5.28 out of 8, 57.40 out of 100, and 3.23 out of 5, respectively. Intention to stay was positively correlated with overall career (r=.30), workplace (r=.18), shift work (r=-.20), position (r=.28), salary (r=.13), job satisfaction (r=.51), hospital satisfaction (r=.46), and resilience (r=.41). Factors influencing the intention to stay were job satisfaction and resilience, which explained 28% of the variance. Conclusion: Overall career, job satisfaction, and resilience are critical factors affecting general hospital nurses' intention to stay. Based on the findings of this study, efforts to improve nurses' job satisfaction and resilience should be implemented to mitigate the loss of this expert group among healthcare professionals.

• Journal of East-West Nursing Research
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• v.24 no.2
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• pp.139-145
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• 2018

Purpose: This study aimed to investigate influencing factors on life stress among nursing college students. Methods: A descriptive research design was used with a convenience sample of 392 nursing students. Data were collected from May 23 to June 3, 2016 using self-reported questionnaires and analyzed by descriptive statistics, t-test, analysis of variance, the Pearson correlation coefficient, and multiple regression analysis using the SPSS/WIN 21.0 program. Results: The mean scores of life stress, depression, self-esteem, and self-control were 1.72 out of 4, 1.58 out of 4, 3.60 out of 5, and 3.36 out of 5. Life stress was negatively correlated with self-esteem (r=-.56), self-control (r=-.30) and economic status (r=-.22) and was positively correlated with depression (r=.53). Factors influencing on life stress were economic status, depression and self-esteem, which explained 38% of the variance. Conclusion: Based on the finding of this study, it is necessary to develop education and intervention programs in order to decrease the life stress for nursing students.

• Journal of the Semiconductor & Display Technology
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• v.8 no.4
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• pp.1-5
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• 2009

This investigation is applied Taguchi method and the analysis of variance(ANOVA) to the reactive ion etching(RIE) characteristics of $SiO_2$ film coated on a wafer with Experimental Analysis and Optimization of $CF_4/O_2$ Plasma Etching Process mixture. Plans of experiments via nine experimental runs are based on the orthogonal arrays. A $L_9$ orthogonal array was selected with factors and three levels. The three factors included etching time, RF power, gas mixture ratio. The etching rate of the film were measured as a function of those factors. In this study, the etching thickness mean and uniformity of thickness of the RIE are adopted as the quality targets of the RIE etching process. The partial factorial design of the Taguchi method provides an economical and systematic method for determining the applicable process parameters. The RIE are found to be the most significant factors in both the thickness mean and the uniformity of thickness for a RIE etching process.