• Korean Journal of Rural Living Science
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• v.7 no.2
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• pp.139-152
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• 1996

The objectives of this study are : (1) to measure the level of economic stress perception in Korean farm households. (2) to identify the effects of related variables such as socio-demographic variables and economic stability. The data from 505 farm households' wives was analyzed using statistical methods such as frequency, correlation, oneway ANOVA, lease significant difference test, and stepwise multiple regression. The major findings are as follows : The mean value of economic stress perception on the 505 wives was 33.5 points out of a possible 100. Among 3 subsectors, income stress perception had highest score. Socio- demographic variables such as family size, type of farm household, financial manager, debt, credit . grant assistant, wife's age, and educational level of the wife had a significant difference on the economic stress perception of wives in the ANOVA analysis. So did the objective and subjective evaluation of economic stability. As a result of multiple regression analysis, economic stability, debt presence, and wife age were verified explaining 23% of the variance of economic stress perception. Therefore, it can be said that farm wives had relatively high economic stress perception in the case of low economic stability, getting into debt and low age.

• Journal of the Korean Society of Clothing and Textiles
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• v.29 no.6
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• pp.885-895
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• 2005

The purpose of this study was to find out the most pursuasive social stratification variables affecting the attitude toward foreign luxury goods and the purchase frequency and examined the difference in the attitude toward foreign luxury goods and the purchase frequency among groups divided by age and social stratification variables. The subjects were 521 married women over 25 years old living in Seoul and Kyong-gi province areas. The data were analyzed by multiple regression, ANOVA, Duncan's multiple range test, frequency and percentage. Social stratification was measured by family's monthly income, educational and occupational levels of married women's and their husbands' for an objective method while economic levels, social status, consumption levels, and cultural levels were used fer a subjective method. The results were as follows; first, the most explainable variables influencing the attitude toward foreign luxury goods and the purchase frequency were age and women's educational levels examined by the objective method of social stratification. Second, according to the subjective method of social stratification, the attitude toward foreign luxury goods and the purchase frequency were affected by age, economic levels, consumption levels, and cultural levels. Consumption levels which showed actual expense per family were the most explainable variable in the purchase frequency.

• Journal of Ecology and Environment
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• v.29 no.4
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• pp.343-352
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• 2006

This study investigated the relationship between land cover and the water quality variables in the rivers, which are located in the Yamaguchi prefecture of West Japan. The study area included 12 catchments covering $5,809\;Km^2$. pH, dissolved oxygen, suspended solid, E. coli, total nitrogen and total phosphorus were considered as river water quality variables. Satellite data was applied to generate land cover map. For linking alterations in land cover (at whole catchment and buffer zone levels) and the river water quality variables, multiple regression modeling was applied. The results indicated that non-spatial attribute (%) of land cover types (at whole catchment level) consistently explained high amounts of variation in biological oxygen demand (72%), suspended solid (72%) and total nitrogen (87%). At buffer zone-scale, multiple regression models that were developed to represent the linkage between the alterations of land cover and the river water quality variables could also explain high level of total variations in suspended solid (86%) and total nitrogen (91%).

• Journal of the Korean Society for Aviation and Aeronautics
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• v.27 no.4
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• pp.52-64
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• 2019

The purpose of this study is to analyze the impact of macroeconomic variables on air passenger demand and provide useful information to airport managers and policymakers. Therefore, using the quarterly macroeconomic indicators from 2002 to 2017, the relationship with air passenger demand was demonstrated by multiple regression analysis. In the previous studies, they used GDP, Korea Treasury Bond, KOSPI index, USD/KRW Exchange Rate, and WTI Crude Oil Price variables. In this study, we used the Coincident Composite Index, Employment Rate, Consumer Sentiment Index, and Private Consumption Rate used as additional variables. It has confirmed that if the consumption of research results expands or the economic environment is right, it will affect the increase in international passengers. In other words, it confirmed that the overall economic situation acts as the main factor determining air passenger demand. It confirmed that the economic environment at the past has a significant impact on air passenger demand.

• International journal of advanced smart convergence
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• v.10 no.4
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• pp.59-65
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• 2021

Electricity contributes to the development of the economy. Therefore, forecasting electricity demand plays an important role in the development of the electricity industry in particular and the economy in general. This study aims to provide a precise model for long-term electricity demand forecast in the residential sector by using three independent variables include: Population, Electricity price, Average annual income per capita; and the dependent variable is yearly electricity consumption. Based on the support of Multiple variable regression, the proposed method established a model with variables that relate to the forecast by ignoring variables that do not affect lead to forecasting errors. The proposed forecasting model was validated using historical data from Vietnam in the period 2013 and 2020. To illustrate the application of the proposed methodology, we presents a five-year demand forecast for the residential sector in Vietnam. When demand forecasts are performed using the predicted variables, the R square value measures model fit is up to 99.6% and overall accuracy (MAPE) of around 0.92% is obtained over the period 2018-2020. The proposed model indicates the population's impact on total national electricity demand.

• Journal of the Korea Safety Management & Science
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• v.24 no.4
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• pp.15-23
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• 2022

This study investigated the effects of job stress, job attitude, and social support on the relationship between client violence and social worker job response. The multi-mediating effect of job stress, job attitude, and social support between client violence and social worker job response was empirically analyzed. 257 social workers in social welfare facilities were analyzed using SPSS. The following conclusions were drawn. First, there was a significant correlation between client violence, job stress, job attitude, social support, and job response variables. Client violence was affecting variables related to social worker job response. Second, job stress, job attitude, and social support had multiple mediating effects. The parallel mediation effect and the serial mediation effect were verified. Third, job attitude was found to be a variable of multiple mediating effects. Fourth, job stress and social support were found to be double mediating effect variables. In response, programs and manuals suitable for the type of social welfare facilities and the policy basis for preparing countermeasures for social workers were limited, and follow-up studies on various variables were suggested.

• Journal of the Korean Home Economics Association
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• v.44 no.4 s.218
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• pp.11-21
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• 2006

The purpose of this study was to identify the ecological variables related with children's emotional intelligence, examine their recognition of all the variables affecting their emotional intelligence and classify the variables into the categories of children (gender, grade, self-efficacy), home environment (employed mother or unemployed mother, communication between parents and child, type of family composition, number of siblings), and peer group environment (peer group). The study subjects were 680 elementary school students. Data were analyzed via t-test, F-test, correlation, and multiple regression. The results of this study were as follows. First, emotional intelligence showed significant difference and relationship among the children variables, home environment variables, and peer group environment variable. (Ed- also note the absence of 'fourth' above) Second, emotional intelligence in children was relatively reviewed by the above three variables and the most affecting variable was self-efficacy in children.

• Journal of the Korean Home Economics Association
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• v.41 no.12
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• pp.207-228
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• 2003

The purpose of this study is to investigate what antecedents and how much these antecedents have an effect on mother's parenting behaviors. The subjects of this study are 251 mothers who have child 3 to 6 year old in Daegu and Kyugbook province. The data are analysed through frequency, percentile, mean, standard deviation, Cronbach's α, Pearson's correlation coefficient, multiple regression analysis, and hierarchical regression analysis. The major findings of this study are as follows：First, child's sex, temperament, and behavior problem, mother's parenting self-efficacy, and marital satisfaction and satisfaction of social support affect maternal affectionate parenting behavior. Second, child's temperament, mother's personality and parenting self-efficacy, and satisfaction of social support affect maternal control parenting behavior Third, mother's variables, especially parenting self-efficacy, have great effect on maternal affectionate parenting behavior than any other variables have. Forth, mother's variables, especially personality and efficacy of parenting, have great effect on maternal control parenting behavior than any other variables have.

• Journal of the Korean Institute of Electrical and Electronic Material Engineers
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• v.21 no.12
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• pp.1063-1070
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• 2008

The performance of an acoustic transducer is determined by the effects of many design variables, and mostly the influences of these design variables are not linearly independent of each other. To achieve the optimal performance of an acoustic transducer, we must consider the cross-coupled effects of the design variables. In this study, the variation of the performances of underwater acoustic transducer in relation to its structural variables was analyzed. In addition, the new optimal design scheme of an acoustic transducer that could reflect not only individual but also all the cross-coupled effects of multiple structural variables, and could determine the detailed geometry of the transducer with great efficiency and rapidity was developed. The validation of the new optimal design scheme was verified by applying the optimal structure design of a flextensional transducer which are the most common use for high power underwater acoustic transducer. With the finite element analysis(FEA), we analyzed the variation of the resonance frequency, sound pressure, and working depth of a flextensional transducer in relation to its design variables. Through statistical multiple regression analysis of the results, we derived functional forms of the resonance frequency, sound pressure, and working depth in terms of the design variables. By applying the constrained optimization technique, Sequential Quadratic Programming Method of Phenichny and Danilin(SQP-PD), to the derived function, we designed and verified the optimal structure of the Class IV flextensional transducer that could provide the highest sound pressure level and highest working depth at a given operation frequency of 1 kHz.

• Journal of the Korean Society of Physical Medicine
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• v.15 no.2
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• pp.109-120
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• 2020

PURPOSE: This study was conducted to verify the effects of a functional correction of the pain of patients with chronic low back pain(CLBP), and to examine the effect of dysfunctional factors on health-related quality of life. METHODS: A preliminary survey was first conducted on 90 patients with CLBP after functional orthodontic treatment. Some revised questionnaires were also prepared. The survey was distributed for approximately eight weeks, and 215 copies were used as the final analysis data, except for questionnaires that were inadequate, error or non-response. RESULTS: Path analysis using the structural equation model of CLBP patients showed a positive correlation between all the path coefficients and the potential factors. The multidimensional relationship between pain and dysfunction after orthognathic treatment was confirmed using three subdivisions of the pain variables as independent variables and the dysfunctional variables as the dependent variables. Multiple regression analysis was performed to examine the effects of pain on the dysfunction. To identify the multidimensional relationship between dysfunction and the health-related quality of life, eight sub-factors of dysfunctional variables were set as the independent variables, and multiple regression was analyses were performed with the dependent variables of the health-related quality of life. CONCLUSION: This study examined the structural and influence relationships of the functional correction with pain, dysfunction, and health-related quality of life. The results, suggest that a functional orthodontic treatment can be used as a positive program for the health-related quality of life. In addition, this study is meaningful in that it provieds useful information for intervention such as psychosocial change of patients.