• Korean Security Journal
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• no.34
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• pp.313-336
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• 2013

The purpose of this study is to derive an optimal regression model for occurrences of major crimes on a security company's stock price through identifying precedence of the occurrences of major crimes on the security company's stock price, relationship between the occurrences of major crimes and the security company's stock price. Followings are the results of this study. First, the occurrences of murder crime, robbery crime, rape crime, theft crime move along the security company's monthly stock price simultaneously, and the occurrence of violence crime precedes 6 months to the security company's monthly stock price depending on the results of cross-correlation analysis of precedence of occurrences of major crimes, such as murder crime, robbery crime, rape crime, theft crime, violence crime on the security company's monthly stock price. Second, the explanation of the occurrences of robbery crime, rape crime, theft crime on the security company's monthly stock price is 61.7%($R^2$ = .617) excluding murder crime, violence crime depending on the results of multiple regression analysis(stepwise method) by putting the occurrences of major crimes, such as murder crime, robbery crime, rape crime, theft crime, violence crime into the security company's monthly stock price.

• Journal of Korean Academy of Nursing
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• v.28 no.3
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• pp.638-649
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• 1998

The purpose of this study was to investigate the factors influencing health promoting behavior and quality of life in the elderly, to provide the basic data for health promoting intervention in order to improve quality of life. The subjects of this study were 571 elderly person over the age of 65, living in Seoul, Korea, during the period from November, 1997 to January, 1998. The instruments for this study were the health promoting behavior scale developed by Walker et (1987), the quality of life scale by 노유자(1988), the health concept scale by Laffrey(1986), the perceived health states scale by Lawston et al. (1982), the health value scale by Wallston et al. (1978), the self esteem scale by Rogenberg(1965) and the self efficacy scale by Sherer(1982). The instruments for this study were pretested on the elderly for reliability and validity. The data were analyzed using descriptive statistics, t-test, Pearson correlation coefficients ANOVA and stepwise multiple regression. The results of this study are as follows ; 1. The health promoting behavior showed significant positive correlation with health concept, perception of health status, self esteem, internal health locus of control, self efficacy and quality of life in the elderly. 2. The quality of life showed significant positive correlation with health concept, perception of health status, self esteem, internal health locus of control, self efficacy in the elderly, 3. Stepwise multiple regression analysis revealed that the most powerful predictor of health promoting behavior was quality of life. A combination of quality of life, health concept, perceived health status, self esteem, internal health locus of control, and self efficacy accounted for 46% of the variance in health promoting behavior in the elderly. 4. Stepwise multiple regression analysis revealed that the most powerful predictor of quality of life in the elderly was self esteem. A combination of self esteem. A combination of self esteem, health concept, perceived health status. health promoting behavior and self efficacy accounted for 56% of the variance in quality of life in the elderly. From the results of the study, the following recommendations are presented as follow : 1. Development of a health promoting program to improve quality of life in the elderly. 2. In developing the health promoting program, the above major influencing factors be considered. 3. It is suggested that an education specialist in practice in the community be included in the program development.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.4
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• pp.82-90
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• 2020

This study investigated the effects of empathy, self-control, and smartphone dependency on the interpersonal relationships of nursing students. The survey participants were 157 students in A city. The data was collected through self-report questionnaires that were obtained from May 27 2019 to May 31 2019. The data was analyzed using descriptive statistics and Independent t-tests, One-way ANOVA, Pearson correlation coefficients, and Stepwise multiple regression analysis of the SPSS 14.0 program. As a result, self-control (F=5.319, p=.006) and smartphone dependency (F=4.854, p=.009) showed significant differences according to the school records. Smartphone dependency (t=-3.381, p<.001) showed significant differences according to smartphone use. Age was found to have a statistically positive correlation with self-control (r=.194, p=.015) and it had a negative correlation with smartphone dependency (r=-.223, p=.005). Self-control was found to have a statistically positive correlation with empathy (r=.244, p<.01), interpersonal relationship (r=.540, p<.001). and negative correlation with smartphone dependency (r=-.432, p<.001). Empathy was found to have a statistically positive correlation with interpersonal relationships (r=.476, p<.001). Stepwise multiple regression analysis revealed that the predictors of interpersonal relationships were self-control (β=.477, p<.001), empathy (β=.359, p<.001), and smartphone use (β=.208, p<.01) which accounted for 45.0% of all the variance (F=12.029 p<.01). An enhancement program of nursing students' interpersonal relationships is needed that considers their self-control, empathy, and smartphone use.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.1
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• pp.743-750
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• 2021

Purpose: The purpose of this study was to analyze factors affecting the meaning of life in patients on hemodialysis. Methods: The sample consisted of 176 adults diagnosed with chronic kidney disease at hospitals in Seoul and Gyeonggi-do who had been receiving hemodialysis for more than three months. The patients volunteered to participate in the study. Data collection instruments used were the Meaning in Life (ML) scale, Resilience scale, Beck Depression Inventory-II (BDI-II) and Fatigue scale questionnaire. The SAS9.2 version was used for descriptive analysis, independent t-test, one-way ANOVA, Pearson's correlation coefficients and stepwise multiple regression. Results: The mean total item score on the meaning of life scale was 133.68 (total score:180), which was low. There was a significant relationship between the ML scale and resilience, depression, and fatigue. Stepwise multiple regression analysis showed that resilience, religion, depression, and fatigue were predictors of the meaning of life. Conclusion: These results indicate a need to develop nursing interventions to increase resilience and reduce depression and fatigue to promote the meaning of life in patients on hemodialysis.

• Spatial Information Research
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• v.18 no.5
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• pp.107-117
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• 2010

Taking the East-Hwasung area as the case, this study first builds gridded population data based on the municipal population survey raw data, and then measures, by way of GIS tools, the major urban spatial variables that are thought to influence the composition of the regional population. For the purpose of comparison, the urban models based on the Genetic Algorithm technique and the regression technique are constructed using the same input variables. The findings indicate that the GA output performed better in differentiating the effective variables among the pilot model variables, and predicted as much consistent and meaningful coefficient estimates for the explanatory variables as the regression models. The study results indicate that GA technique could be a very useful and supplementary research tool in understanding the urban phenomena.

• Science of Emotion and Sensibility
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• v.16 no.1
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• pp.117-124
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• 2013

This study examined that how precisely MFCC, LPC, energy, and pitch related parameters of the speech data, which have been used mainly for voice recognition system could predict the vocal emotion categories as well as dimensions of vocal emotion. 110 college students participated in this experiment. For more realistic emotional response, we used well defined emotion-inducing stimuli. This study analyzed the relationship between the parameters of MFCC, LPC, energy, and pitch of the speech data and four emotional dimensions (valence, arousal, intensity, and potency). Because dimensional approach is more useful for realistic emotion classification. It results in the best vocal cue parameters for predicting each of dimensions by stepwise multiple regression analysis. Emotion categorizing accuracy analyzed by LDA is 62.7%, and four dimension regression models are statistically significant, p<.001. Consequently, this result showed the possibility that the parameters could also be applied to spontaneous vocal emotion recognition.

• Journal of Korean Biological Nursing Science
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• v.1 no.1
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• pp.56-70
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• 1999

The purpose of this study was to determine the effect of physical activity on bone mineral density(BMD), and osteoporosis risk factors in Korean women. A convenience sample of 115 women completed the survey questionnaire which included the items of physical activity, osteoporosis risk facors, and demographic background. Distal radial BMD was evaluated using DTX-200. The data were analyzed using frequency, percentage, t-test, Pearson Correlation Coefficient, logistic regression, ANOVA, stepwise multiple regression by SPSS WIN. The sample ranged in age from 31 to 78 years(mean=47.67 old). 91.8% were married, 72.2% were housewives, and mean monthly income was 1,094,900won. Mean explain of the women was 1.21MET, and 50.4% of the women were in the physically inactive group. Brisk walking and mountain climbing were frequently cited activities. 1.8% of the subjects smoked, and 27.5% used alcohol. Average daily intake of milk was 1.17 cups and that of caffeine, 1.13 cups. Age, body weight, monthly income, BMI, education level, duration after menopause, menstration status and caffeine. intake were correlated with BMD. In the relationship between the physical activity and BMD, the physically active group showed a higher level of BMD than the physically inactive group. Significant MET decreased was noted with an age increase. In the stepwise multiple regression analysis, body weight, duration after menopause, and the number of children were identified as the most important risk factors. Conclusively, physical activity could be a beneficial effect in the reduction of osteoporosis in Korean women, considering a positive relationship between physical activity and radial BMD.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.3
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• pp.1615-1622
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• 2014

The purpose of this study was to understand the factors affecting the academic resilience in nursing students. This study involved 280 second year nursing students. Data were collected from March 4 to 8 in 2013. Data were analyzed with frequency, ANOVA, Scheffe's test, person's correlation coefficients, and Stepwise multiple regression with using SPSS version 20.0. The score of academic resilience, problem solving abilities and communication skill in nursing students were 3.67, 3.53 and 3.50 respectively. The results showed that the higher problem solving abilities and communication skills, the higher academic resilience. The factors that significantly affected academic resilience were plan/practice, analytic ability, goal creation ability, cause analysis and performance/assessment accounting for 50.7% of the regression model. Therefore, it is necessary to consider the description of nursing students' academic resilience factors to develop effective education program.

• Journal of the Korea Convergence Society
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• v.10 no.4
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• pp.265-275
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• 2019

The purpose of this study was to investigate the relationship between attitude toward patient safety, empowerment and awareness, performance of standard precaution for healthcare associated infection control and prevention and to identify the influencing factors of the performance in nursing students. The participants were 185 nursing students on one college in J city, Data collection was conducted from september 10 to 21, 2018. The collected data were analyzed with independent t-test, ANOVA, Pearson's correlation coefficient and stepwise multiple regression using SPSS Statistics 22.0 program. As a result of multiple regression analysis showed that the factors influencing the performance of the standard precaution were awareness, empowerment, participation in the patient safety campaign and the performance was explained by 51.0%. Therefore, In order to improve the performance of standard precaution for nursing students, various convergent education programs should be applied to raise awareness and improve empowerment, and it is necessary to seek ways for nursing students to participate actively in patient safety campaigns.

• Journal of Industrial Convergence
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• v.20 no.12
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• pp.39-47
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• 2022

The purpose of this study was to investigate the level of depression and dysphagia among the community-dwelling older adults and to find the relationships between depression and dysphagia. The study was cross-sectional survey and participants were 159 older adults above 65 years of age recruited by convenience sampling in two cities. The data were analyzed using descriptive statistics, t-test, ANOVA, Pearson's correlation coefficient, and Stepwise multiple regression. According to results, the average score of participant's depression were 4.56. There was a significant correlation between depression and dysphagia. Multiple regression analysis showed that self-rated health status(𝛽=-.210, p=.019), dysphagia(𝛽=.202, p=.006), number of chronic diseases(𝛽=.188, p=.015), and oral condition(𝛽=-.174, p=.041) were significant factors of depression. These variables explained 23.9% of depression. Therefore, effective health management strategies considering self-rated health status, dysphagia, chronic diseases, and oral condition should be established to reduce depression in the elderly.