• 제목/요약/키워드: Predictive Variables

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국제결혼 이주여성의 문화적응스트레스와 관련요인에 대한 연구 (The Variables Affecting Acculturative Stress of Women in International Marriages)

  • 이진숙
    • 한국생활과학회지
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    • 제19권6호
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    • pp.919-932
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    • 2010
  • This investigation examined the association between demographic variables, acculturation and acculturative stress. Participants in the study were 360 Pilipino, Vietnamese, Chinese, Chinese-Korean and Japanese woman who had married internationally and were living in Jeonbuk-Do. Hierarchical regression analyses determined that among the independent variables examined, age, Korean language ability, marital satisfaction, and ethnic identity had significant predictive effects on the levels of acculturative stress experienced. Young women who had lower Korean language proficiency, lower marital satisfaction, and higher ethnic identity showed more higher level of acculturative stress. Implications of this research were discussed with particular attention given to possible support programs for women in international marriages.

벤처기술평가와 경영성과의 인과관계에 관한 탐색연구 (An Exploratory Study on the Causal-effect Relationship between Valuation and Performance in Ventures)

  • 양동우
    • 한국벤처창업학회:학술대회논문집
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    • 한국벤처창업학회 2006년도 추계학술발표회
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    • pp.61-85
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    • 2006
  • The Purpose of this study is to prove empirically the relationship between ventures' technology valuation and performance, while considering the uniqueness of Korean firms. We use technology valuation index, marketability valuation index, business valuation index as ex-ante independent variables, use firm's performance(sales, asset, operating income ratio, net income ratio etc) as ex-post dependent variables. Parametric analysis such as Paired T-test, ANOVA are applied in this paper. The results of Empirical analysis is summarized as follows. Firstly, operating income ratio and net income ratio are different in portfolios classified by technology valuation index. Secondly, the growth rate of operating income is different in portfolios classified by technology valuation index. Finally, this study has shown that technology valuation index has possibility which it use the predictive variables of ventures' performances.

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암환자의 고통 영향요인 분석(I) (Factors Influencing Suffering of Patients with Cancer(I))

  • 강경아
    • 대한간호학회지
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    • 제31권4호
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    • pp.561-570
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    • 2001
  • Purpose: This study was conducted to detect the correlations and the main factors influencing depression, life satisfaction, burden, defenition of suffering, meaning of life, and suffering. Method: The samples were composed of 160 cancer patients who were or outpatients of four hospitals in Seoul. The reliability of the 6 instruments was tested with Cronbach's alpha which ranged from .62 to .90. The data was analyzed using a SAS program for descriptive statistics, Pearson correlation coefficients, and stepwise multiple regression. Results: The results were as follows: 1. The scores on the suffering scale ranged from 132 to 40 with a mean of 87.3 (SD 17.5). 2. There were significant correlations between all the predictive variables and even the amounts of suffering (r=.27-.84, p〈.05). 3. Stepwise multiple regression analysis showed that depression was the main predictor of suffering, and accounted for 71.6% of the variance. In addition burden accounted for 4.6% of the variance in suffering. The two variables combined to account for 76.2% of the variance in suffering. Conclusion: In conclusion and depression, burden were identified as important variables in explaining the suffering of patients with cancer.

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아동의 형제관계와 자존감과의 관계 연구 (The Relations between Children's Sibling Relationships and Self-Esteem.)

  • 박영애
    • 대한가정학회지
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    • 제34권2호
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    • pp.315-328
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    • 1996
  • The purpose of this study was to examine how children's sibling relationships were related to their self-esteem. 440 children and their only siblings were asked to respond to two questionnaires concerning the two research variables. The questionnaires used were the SRQ (Furman & Buhrmester, 1985) and the SPPC (Harter, 1985). Ther data were analyzed through correlation analyses, stepwise multiple regression analyses, and canonical correlation analyses. The results were as follows : Warmth·Intimacy and Rivalry (parental partiality toward the child himself/herself) had positive correlations with the child's self-esteem, while sibling Conflict had negative correlations and Relative Status·Power had little correlation. The best predictor of children's self-esteem was sibling Warmth·Intimacy. The next powerful determinants were Conflict and Rivalry. Among the six self-esteem measures, the one predicted best by sibling relationships was Global Self-Worth. The next ones were Behavior·Conduct and Scholastic Competence. The findings revealed that the predictive power of the sibling relationships factors varied considerably according to such status variables as sex and birth order of children and to whether each of the two research variables was analyzed as a whole or at a factor level.

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어머니의 자녀 감독지식과 근원에 관한 연구 (Variables Associated with Maternal Monitoring of Child's Whereabouts and Daily Activities)

  • 천희영;김미해;옥경희
    • 아동학회지
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    • 제23권3호
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    • pp.171-186
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    • 2002
  • This study of variables associated with maternal monitoring of child's whereabouts and daily activities was conducted with 1500 children (8 and 13 years of age) and their mothers. They responded to questionnaires on monitoring knowledge, sources of maternal information (maternal solicitation and/or child disclosure), and demographic variables. Data were analyzed by Pearson's r, ANOVA, and regression analysis. Mothers' knowledge of her child's activities and whereabouts and the sources of her knowledge were associated with mothers' higher level of education. Child's age was related to mother's knowledge and maternal solicitation. Maternal solicitation and child's age were highly predictive of mothers' knowledge of her child's whereabouts and activities. Results of this study may have applications for parental supervision and child rearing attitudes.

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어머니의 자녀양육 스트레스와 관련된 심리사회적 변인들 (Exploration of psychosocial variables related to mother's parenting stress)

  • 박성연
    • 가정과삶의질연구
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    • 제16권1호
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    • pp.95-106
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    • 1998
  • The purpose of this study was to examine the relations among mother's self-differentiation intimate. relationship parental role satisfaction and parenting stress. The subjects were 144 middle class mothers who have a first-born child aged from 6 to 36 months in Seoul. Data were gathered via questionnaire distributed to the mothers. The major results were as follows; (1) Mothers who achieved higher self-differentiation perceived lower parenting stress. (2) Mothers who highly satisfied with both their husbands' support and marital relations perceived lower parenting stress. (3) Mother's parental role satisfaction was not related to mother's parenting stress. (4) The variables predicting parenting stress were mother's self-differentiatin mother's satisfaction with intimate relationship and husband's support. However the predictive powers of these variables were different depending on mother's employment status.

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벤처의 기술평가와 경영성과의 관계에 관한 연구 (An Empirical Study on the Relationship between Technology Valuation and Performance in Ventures)

  • 양동우
    • 지식경영연구
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    • 제4권1호
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    • pp.21-33
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    • 2003
  • The Purpose of this study is to prove empirically the relationship between technology valuation and performance in Ventures, while considering the uniqueness of Korean firms. We use technology score, marketability score, business attractiveness score as ex-ante independent variables, use firm's performance(sales, asset, operating income ratio, net income ratio etc) as ex-post dependent variables. Parametric analysis such as Paired T-test, ANOVA are applied in this paper. The results of Empirical analysis is summarized as follows. Firstly, operating income ratio and net income ratio are different in portfolios classified by technology score. Secondly, the growth rate of operating income is different in portfolios classified by technology score. Finally, this study has shown that technology score has possibility which it use the predictive variables of firm performances.

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기혼직장여성의 가족건강성 구조모형 (A Structural Equation Model on Family Strength of Married Working Women)

  • 홍영선;한금선
    • 대한간호학회지
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    • 제45권6호
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    • pp.900-909
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    • 2015
  • Purpose: The purpose of this study was to identify the effect of predictive factors related to family strength and develop a structural equation model that explains family strength among married working women. Methods: A hypothesized model was developed based on literature reviews and predictors of family strength by Yoo. This constructed model was built of an eight pathway form. Two exogenous variables included in this model were ego-resilience and family support. Three endogenous variables included in this model were functional couple communication, family stress and family strength. Data were collected using a self-report questionnaire from 319 married working women who were 30~40 of age and lived in cities of Chungnam province in Korea. Data were analyzed with PASW/WIN 18.0 and AMOS 18.0 programs. Results: Family support had a positive direct, indirect and total effect on family strength. Family stress had a negative direct, indirect and total effect on family strength. Functional couple communication had a positive direct and total effect on family strength. These predictive variables of family strength explained 61.8% of model. Conclusion: The results of the study show a structural equation model for family strength of married working women and that predicting factors for family strength are family support, family stress, and functional couple communication. To improve family strength of married working women, the results of this study suggest nursing access and mediative programs to improve family support and functional couple communication, and reduce family stress.

A New Tool to Predict Survival after Radiosurgery Alone for Newly Diagnosed Cerebral Metastases

  • Rades, Dirk;Huttenlocher, Stefan;Dziggel, Liesa;Blanck, Oliver;Hornung, Dagmar;Mai, Khoa Trong;Ngo, Trang Thuy;Pham, Thai Van;Schild, Steven
    • Asian Pacific Journal of Cancer Prevention
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    • 제16권7호
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    • pp.2967-2970
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    • 2015
  • Many patients with few cerebral metastases receive radiosurgery alone. The goal of this study was to create a tool to estimate the survival of such patients. To identify characteristics associated with survival, nine variables including radiosurgery dose, age, gender, Eastern cooperative oncology group performance score (ECOG-PS), primary tumor type, number/size of cerebral metastases, location of cerebral metastases, extra-cerebral metastases and time between cancer diagnosis and radiosurgery were analyzed in 214 patients. On multivariate analysis, age (p=0.03), ECOG-PS (p=0.02) and extra-cerebral metastases (p<0.01) had significant impacts on survival. Scoring points for each patient were obtained from 12-month survival rates (in %) related to the significant variables divided by 10. Addition of the scoring points of the three variables resulted in a patient's total predictive score. Two groups were designed, A (10-14 points) and B (16-17 points). Twelve-month survival rates were 33% and 77%, respectively (p<0.001). Median survival times were 8 and 20 months, respectively. Because most patients of group A died from extra-cerebral disease and/or new cerebral lesions, early systemic treatment and additional WBI should be considered. As cause of death in group B was mostly new cerebral metastases, additional WBI appears even more important for this group.

건물 냉방시스템의 예측제어를 위한 인공신경망 모델 개발 (Development of an Artificial Neural Network Model for a Predictive Control of Cooling Systems)

  • 강인성;양영권;이효은;박진철;문진우
    • KIEAE Journal
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    • 제17권5호
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    • pp.69-76
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    • 2017
  • Purpose: This study aimed at developing an Artificial Neural Network (ANN) model for predicting the amount of cooling energy consumption of the variable refrigerant flow (VRF) cooling system by the different set-points of the control variables, such as supply air temperature of air handling unit (AHU), condenser fluid temperature, condenser fluid pressure, and refrigerant evaporation temperature. Applying the predicted results for the different set-points, the control algorithm, which embedded the ANN model, will determine the most energy efficient control strategy. Method: The ANN model was developed and tested its prediction accuracy by using matrix laboratory (MATLAB) and its neural network toolbox. The field data sets were collected for the model training and performance evaluation. For completing the prediction model, three major steps were conducted - i) initial model development including input variable selection, ii) model optimization, and iii) performance evaluation. Result: Eight meaningful input variables were selected in the initial model development such as outdoor temperature, outdoor humidity, indoor temperature, cooling load of the previous cycle, supply air temperature of AHU, condenser fluid temperature, condenser fluid pressure, and refrigerant evaporation temperature. The initial model was optimized to have 2 hidden layers with 15 hidden neurons each, 0.3 learning rate, and 0.3 momentum. The optimized model proved its prediction accuracy with stable prediction results.