• 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 the Korean housing association
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• v.21 no.2
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• pp.59-67
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• 2010

The maintenance cost plays a important role to plan the scale of the apartment housing such as a number of household, building area and building type. Therefore, it is required to forecast the cost considering various maintenance characteristics. The maintenance characteristics are floor area, number of household, heating type, site area and etc.. In addition, the maintenance cost are classified into 5 area. These are a personal expense, facility maintenance cost, energy and water cost, insurance and sanitary cost. These five cost area are related with various characteristics and brought up the estimation model using the stepwise multiple regression analysis. The energy and heating cost share over the 50% in the total cost and the personal expense cost shares about 40%. The personal expense cost per area is 5,272 won/$m^2{\cdot}yr$ irregardless of heating type and the district heating type is a higher cost than other type. In facility maintenance cost, the central heating type is 2,015 won/$m^2{\cdot}yr$ and higher than other type. The estimation models have good statistics in each model. Most of the model have a determination coefficient over 0.7 and Durbin Watson value between 1.5 and 2.5.

• Journal of Periodontal and Implant Science
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• v.26 no.3
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• pp.689-699
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• 1996

The purpose of this research is to determine elements affecting the out-of-pocket cost of woman. The sample consisted of 1907 women living Iksan city. The survey was conducted by means of questionnaires. The model used in the analysis of out-of-pocket cost was the Andersen-Newman model, while the analysis techniques used were stepwise multiple regression and path analysis. The number of independent variables used in the analysis was 28 in total, ie 19 predisposing components, 6 enabling components, and 3 need components. In this study, the amount of variance by the model was 17 percent. Number of restricted activity days caused by oral disease, perceived susceptibility of dental disease, having a regular dental care, dental treatment costs, education level and income were found to have significant major effects on out-of-pocket cost. Number of restricted activity days caused by oral disease was the most important variable affecting out-of-pocket cost of woman. Also out-of-pocket cost shows larger effect due to enabling components than frequency of dental utilization.

• Journal of the Korean Operations Research and Management Science Society
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• v.26 no.4
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• pp.55-70
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• 2001

Artificial neural network(ANN) models have been widely used for the classification problems in business such as bankruptcy prediction, credit evaluation, etc. Although the application of ANN to classification of consumers＇ choice behavior is a promising research area, there have been only a few researches. In general, most of the researches have reported that the classification performance of the ANN models were better than conventional statistical model Because the survey data on consumer behavior may include much noise and missing data, ANN model will be more robust than conventional statistical models welch need various assumptions. The purpose of this paper is to study the potential of the ANN model for forecasting consumers＇ choice behavior based on survey data. The data was collected by questionnaires to the shoppers of department stores and discount stores. Then the correct classification rates of the ANN models for the training and test sample with that of multiple discriminant analysis(MDA) and logistic regression(Logit) model. The performance of the ANN models were betted than the performance of the MDA and Logit model with respect to correct classification rate. By using input variables identified as significant in the stepwise MDA, the performance of the ANN models were improved.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.9
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• pp.3900-3914
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• 2012

This study examined the background of the recent global financial crisis and the concept of one of the financial derivatives such as the credit default swap(CDS) or synthetic CDO(collateral debt obligations), given the rapid growing and changing the over-the-counter derivative markets in their volume and structures. In comparison with the previous literature such as the study of Park & Kim (2011), this research empirically performed more thorough and comprehensive investigations to find any financial characteristics or attributes to determine the CDS spreads. Regarding the results obtained from the multiple regression models, the explanatory variables such as STYIELD3, SLOPE, INASSETS, and VOLATILITY, showed their statistically significant effects on all the tested dependent variables(DVs). Another procedure such as the principle component analysis(PCA), was also performed to account for additional IDVs as possible determinants of the dependent variables. Subsequent to this analysis, larger coefficients of each corresponding eigenvector such as BETA, PFT2, GROWTH, STD, and BLEVERAGE were found to be possible financial determinants. For robustness, all the IDVs were employed to be tested in the 'full' regression model with stepwise procedure. As a result, STYIELD3, SLOPE, and VOLATILITY, and BETA showed their statistically significant relationship with all the dependent variables of the CDS spreads.

• Journal of the Korean Home Economics Association
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• v.35 no.1
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• pp.443-459
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• 1997

The purpose of this study were (1) to investigate the effect of environments on the ecological value orientation (2) to examine the effect of environments and ecological value orientation on housewives' recycling behavior and (3) to analyze the hypothesized causal model of the housewives' recycling behavior in order to explain direct and indirect effects of the selected variables. 687 samples were selected from housewives living in Seoul. Cronbach's a, descriptive statistics and stepwise multiple regression were used for data analysis The major findings are as follows: Housewives' recycling behavior In conclusion the result of the path analysis explained the contribution of variables on housewives' household recycling. It was found that the ecological value orientation makes the most significant contribution to household recycling.

• Women's Health Nursing
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• v.12 no.2
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• pp.132-141
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• 2006

Purpose: The purpose of this study was to supply basic data for a health promoting program and to elevate the level of it by examining whether university students' health promoting behaviors were related to health perception, health concept, self- esteem, perceived benefits of action, perceived barriers of action, perceived self-efficacy, activity-related affect, social support, preference, prior related behavior, and a plan for action. Method: Subjects were 192 university students in K city. Data collection method was a structured questionnaire. Data was analyzed using descriptive statistics, t-test, ANOVA, Pearson's correlation, and stepwise multiple regression. Result: The most powerful predictor was previous related behavior (36%). Altogether previous related behavior, health status, a plan for action, perceived self-efficacy and number of admissions were proven to account for 57% of health promoting behaviors. Conclusion: It suggested that prior related behavior, health status, a plan for action, perceived self-efficacy, and number of admissions should be considered when developing a students' health promoting program.

• The Journal of Korean Academic Society of Nursing Education
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• v.21 no.4
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• pp.466-476
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• 2015

Purpose: This study investigates the relationship among nutrition knowledge, food habit problems and dietary attitudes in nursing students. Methods: A total of 856 nursing students participated in the study. Data was analyzed by frequencies, t-tests, ANOVA, Pearson correlation coefficients, and multiple stepwise regressions via SPSS WIN 21.0. Results: The mean scores for nutrition knowledge and dietary attitudes were above average and the score related to food habit problems was high. Dietary attitudes correlated positively with nutrition knowledge, but dietary attitudes correlated negatively with food habit problems. Significant predictors of dietary attitudes included: food habit problems, interest in nutrition and health, exercise, and drinking. The regression model explained 16.4% of perceived dietary attitudes. Conclusion: To improve dietary attitudes among nursing students, nursing educators should develop nutritional educational intervention programs in order to promote nutrition knowledge and identify food habit problems.

• The Journal of Korean Academic Society of Nursing Education
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• v.19 no.4
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• pp.549-557
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• 2013

Purpose: The purpose of this study was to investigate the effects of self-directed learning ability and creativity on college adjustment in nursing students. Method: Data were collected by questionnaires from 148 nursing students in October, 2010. Collected data were analyzed using descriptive statistics, independent t-test, one-way ANOVA, Pearson's correlation coefficient and stepwise multiple regression. Results: A positive correlation was found for college adjustment with self-directed learning ability and creativity. Self-directed learning ability and major satisfaction were significant predictors of college adjustment. The model explained 44.1% of the valuables. Conclusion: The results of this study suggest that self-directed learning be considered when developing strategies to increase college adjustment in nursing students.

• The Journal of Korean Academic Society of Nursing Education
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• v.24 no.1
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• pp.72-79
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• 2018

Purpose: The purpose of this study was to investigate the effects of positive thinking and self-esteem on school adaptation among freshmen in a nursing department. Methods: Data were collected by questionnaires from 172 nursing students in the month of December 2017. The collected data were analyzed using descriptive statistics, an independent t-test, ANOVA, Pearson's correlation coefficient, and stepwise multiple regression. Results: A positive correlation was found for school adaptation with positive thinking and self-esteem. Positive thinking, self-esteem, major satisfaction and interpersonal relationships were all significant predictors of school adaptation. The model explained 43.6% of the variables. Conclusion: The results of this study suggest that positive thinking should be considered when developing strategies to increase school adaptation among freshmen in nursing departments.