• Journal of the Korean Home Economics Association
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• v.29 no.2
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• pp.199-215
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• 1991

The purpose of the study is to investigate the relation between marital communication types and self-esteem demographic-socioligical variables to eliminate the methodlogical contradiction of previous studies, this study aimed as follows: (1) correlation between marital communication types and all the independent variables, such as self-esteem, sex, age, academic history, mate selection type, family type, duration of marriage, religion, etc. and marital communication types. (2) discriminating powers of marital communication types by way of the variables mentioned above. In this study questionaire was used on 392 married Seoulites, which consists of two scales and 9 items. In order to verify the hypotheses, the following two methods were used: (1) LOGIT program to the correlation between norminal scale and /or interval scale. (2) discriminating analysis of marital communication types by way of the variables. The results of the study are as follows: (1) Only 4 variables, such as self-esteem, sex, duration of marriage and academic history, correlate with marital communication types in level P<0.05 (2) According to the discriminating analysis of the variables mentioned above, marital communication types cannot be predicted as the predictive power is only 32.2%. (3) Correlation coefficent of authoritic communication type is higher males than females and higher low degree group of self-esteem than high degree group. (4) In the some communication types, direction of correlation coefficent is different in the some variables.

• Journal of the Korean Society of Clothing and Textiles
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• v.31 no.9_10
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• pp.1342-1351
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• 2007

Using a data set drawn from 1419 college students, this study analyzes what implications clothing or fashion has on self-expression or image management in Korean society and who are more likely to use fashion as a image management tool in the process of interacting with others. Employing Pierre Bourdieu's concept of capital, we discuss three theories concerning correspondence between class and fashion: the theory focusing on economic capital in emphasizing the correspondence; the theory focusing on cultural capital in emphasizing the correspondence and the theory emphasizing relationships between fashion and other factors rather than class. Based on the theoretical examination, we select independent variables that can be grouped into status/class variables, or economic capital variables(such as subjective status, income, father's education, father's occupation) and socio-cultural variables, or cultural capital variables(such as possession of cultural capital, desire for upward mobility). Upon regressing strategic use of fashion on independent variables, we find that both status/class variables and socio-cultural variables are statistically significant in explaining the strategic mobilization of fashion for one's image production or social success. It shows that class as a form of economic capital has important effects on the strategic use of fashion, and cultural capital also has effects independent of economic capital.

• Journal of Korean Academy of Nursing
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• v.23 no.1
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• pp.130-141
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• 1993

This study was to find out variables influenced on the medication patterns (voluntary medication, in-voluntary medication) of antipsychotics taken by schizophrenic outpatients. Purposes of this study were to be identified that there was the significant difference between the group of voluntary medication and involuntary, and that which variables had infuence on outpsychotics medication. The sample consisted of 30 patients takeing their pills voluntary (voluntary medication group), and 15 patients involuntary(involuntary medication group) at a psychiatry hospital and a psychiatric unit of a The findings of the study are as follows : university hospital in Daegu. Data were collected from September to October, 1991 through interview using questionare about antipsychotics medication. Data were analyzed by the technique of two group discriminant function analysis using SPSS pc$^{+}$ 1) Discriminant function discriminating between voluntary medication and involuntary medication was significant at the level of 10% significance (sig.=.055, p〈.10) Hit-ratio was very high (91. 1％) 2) One of General variables, SEX, was significant of discriminating between two medication patterns at the level of 10% significance. 3) One of Family Environmental Variables, BROTH(a number of brother), were significant between two medication patterns. (p〈.10) 4) One of Therapeutic Environmental Variables, FAMHX, was significant between two medication patterns at the level of 10% significance. 5) One of Variables Related to Drug and Medication, NECESS, was significant between two medication patterns. (p〈.05) 6) Variables Related to Disease was not significant between two medication patterns.s.

• The Journal of Information Systems
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• v.22 no.4
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• pp.85-115
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• 2013

Digital knowledge and information goods as experience goods have some unique characteristics such as close to zero reproduction and distribution cost, high price volatility, and low price acceptability. For the reasons, the pricing policies of digital knowledge goods are very difficult and complicate. Also, most consumers of digital goods have experienced cognitive dissonance after buying decision. The purpose of this paper is to investigate what factors affect the price acceptability level and cognitive dissonance of digital knowledge goods buyers. This paper suggest a structural model that was established by the cognitive dissonance theory and S-O-R(Stimulus-Organization-Response) model. The model is consisted of four exogenous variables and three endogenous variables. The empirical test and statistical analysis suggest following results and practical implications. The variables such as product involvement and perception of price fairness that have positive roles to price acceptability have strong influence on the all the three endogenous variables. But the variables such as sale proneness and price mavenism that have negative roles to price acceptability have little influence on the all the three endogenous variables. In the model, the payment intention was very important mediating variable between exogenous variables and two dependent variables, ie. price acceptability and cognitive dissonance. These results imply that the digital knowledge portals must have some differentiated pricing policies to the customers who have price consciousness and price mavenism. Also, they need some special promotions to whom have positive attitude to the value of digital goods.

• Journal of Family Resource Management and Policy Review
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• v.9 no.1
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• pp.113-130
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• 2005

The purpose of this study was to show the expected age of retirement of the couple, husband and wife, individually, the difference between the expected age of retirement of the husband and that of the wife, and to analyze contributing variables. The sample in this study numbered 517, of which 229 were husbands and 288 were wives. The independent variables were divided into three factors including personal, financial, and work related variables. The results of this study were as follows. Among two earner households, both husbands and wives expected the husband's age of retirement to be higher than of the wife. The difference between the husband's expected age of retirement and the wife's expected age of retirement was five years, on average. For the husband, personal, financial, and work related variables had effects on his expected age of retirement. However, for the wife it was only the perception of future work life and expected age of retirement of the partner which had very significant effects statistically. The variables affecting the difference between the expected age of retirement of the husband and that of the wife included the personal variables as well as interaction of the couple related variables. The results showed that first of all, the planning of retirement among two earner households needs to be focused on the couple rather than on the individual.

• Journal of Korean Society for Quality Management
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• v.34 no.2
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• pp.129-135
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• 2006

In the advance of computer technology, it is possible to keep all the related informations for monitoring equipments in control and huge amount of real time manufacturing data in a data base. Thus, the statistical analysis of large data sets with hundreds of thousands observations and hundred of independent variables whose some of values are missing at many observations is needed even though it is a formidable computational task. A tree structured approach to classification is capable of screening important independent variables and their interactions. In a Six Sigma project handling large amount of manufacturing data, one of the goals is to screen vital few variables among trivial many variables. In this paper we have reviewed and summarized CART, C4.5 and CHAID algorithms and proposed a simple method of screening vital few variables by selecting common variables screened by all the three algorithms. Also how to develop a logistics regression model on a large data set is discussed and illustrated through a large finance data set collected by a credit bureau for th purpose of predicting the bankruptcy of the company.

• Journal of Korean Society for Quality Management
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• v.40 no.3
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• pp.347-358
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• 2012

Purpose: Given the mixture components - process variables experimental data, we propose the strategy to find the proper combined model. Methods: Process variables are factors in an experiment that are not mixture components but could affect the blending properties of the mixture ingredients. For example, the effectiveness of an etching solution which is measured as an etch rate is not only a function of the proportions of the three acids that are combined to form the mixture, but also depends on the temperature of the solution and the agitation rate. Efficient designs for the mixture components - process variables experiments depend on the mixture components - process variables model which is called a combined model. We often use the product model between the canonical polynomial model for the mixture and process variables model as a combined model. Results: First we choose the reasonable starting models among the class of admissible product models and practical combined models suggested by Lim(2011) based on the model selection criteria and then, search for candidate models which are subset models of the starting model by the sequential variables selection method or all possible regressions procedure. Conclusion: Good candidate models are screened by the evaluation of model selection criteria and checking the residual plots for the validity of the model assumption. The strategy to find the proper combined model is illustrated with examples in this paper.

• Korean Journal of Social Welfare
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• v.46
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• pp.263-289
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• 2001

Many studies have shown that the parents of developmentally disabled children are adversely affected by the experience of raising a child of this type. However, the range of reactions to parenting a handicapped child is quite varied and is presumably affected by a wide variety of variables. This study examined a number of demographic and psychosocial variables to determine which particular combination could best predict the current level of stress and coping behavior of mothers. Among predictor variables, marital satisfaction and dysfunctional attitude are variables that I am particularly interested in which can mediate parental stress. Five variables are found to be related to the stress of mothers, that is, level of disability, level of needed help, marital satisfaction, type of disability, father's education level. Also variables that affect four different types of stress (which are four factors of QRS-F) are analysed and the results presented. Among these variables, some are pre-determined and some are intervenable. We should make an effort to make changes in those intervenable variables such as marital satisfaction, beliefs and attitude about disability, and level of needed help. In future research we need to search and clarify the beliefs and attitude that help mothers adjust to a life with a disabled child. Also governmental support and policy making to reduce the burden of these mothers should be accompanied as well.

• Korean Journal of Child Studies
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• v.14 no.2
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• pp.115-135
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• 1993

The purpose of this study was to develop instruments for measuring paternal child rearing involvement. A second purpose was to investigate the relationship between social competency of child and the father's involvement in child rearing. Fathers' child rearing involvement inventories were administered to 513 5th and 6th grade school students to evaluate children's perceived father's rearing involvement. Assessment of the child's social competency by the mother was by the modified Iowa Social Competency Scale. Data were analyzed by factor analysis, Pearson's correlation coefficient, and canonical correlation. The main results were as follows: (1) There were differences in mean scores between variables on father's child rearing involvement. The mean score of 'day-to-day guidance' was higher than such father's involvement variables as 'family activities', 'household affairs', 'home education'. (2) There was a significant correlation between the social competency of children and father's child rearing involvement. In other words, fathers' child rearing involvement showed significant correlations with 'the capability' and 'leadership' of children. (3) The canonical analysis in two variables-the fathers' child rearing involvement (independent variables) and the children's social competency (dependent variables)-showed that the child variables most highly correlated to the independent variables were 'capability' and 'affection toward parents'. This also indicated that the father variables accounted for about 9.4% of the variation in social competency. In conclusion, the father's child rearing involvement can he recognized as significant variable in predicting the social competency of children.

• Journal of the Korean Data and Information Science Society
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• v.24 no.3
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• pp.593-601
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• 2013

We often need to include categorial variables as explanatory variables in regression models. The categorial variables in regression models can be quantified through dummy variables. In this study, we provide an education tool using Excel VBA for displaying regression lines along with test results for regression models with a continuous explanatory variable and one or two categorical explanatory variables. The regression lines with test results are provided step by step for the model(s) with interaction(s), the model(s) without interaction(s) but with dummy variables, and the model without dummy variable(s). With this tool, we can easily understand the meaning of dummy variables and interaction effect through graphics and further decide which model is more suited to the data on hand.