• Journal of the Korean Data and Information Science Society
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• 제18권4호
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• pp.985-994
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• 2007

We note that the time of adolescents is very important time for obtaining informations about their jobs, exploring and making appropriate their career decision. In order to understand the career decision level of adolescents, we needed a study on effects of personal variables and family variables affecting the career decision level. For this, we provide direct, indirect and total effects of family variables and personal variables on the career decision level using the path analysis. Therefore, in this study, we give the real usefulness for making a different diagnosis and strategy solving some problems of career decision level.

• Journal of the Korean Data and Information Science Society
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• 제21권5호
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• pp.959-965
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• 2010

For multiclassification, it is often the case that some variables are not important while some variables are more important than others. We propose a novel algorithm for selecting such relevant variables for multiclassification. This algorithm is base on multiclass least squares support vector machine (LS-SVM), which uses results of multiclass LS-SVM using one-vs-all method. Experimental results are then presented which indicate the performance of the proposed method.

• 한국경영과학회:학술대회논문집
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• 한국경영과학회/대한산업공학회 2003년도 춘계공동학술대회
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• pp.76-80
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• 2003

The procedure of finding operating conditions minimizing qualify loss is proposed with a real industry example. The procedure consists or major two parts - the selection or process variables critical to the response and He determination or operating conditions. The coefficients or ridge regression and the and stores or partial least squares are applied to select important process variables. Functional approach and Non-functional approach are used to find proper operating conditions of important process variables.

• 한국생활과학회지
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• 제17권3호
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• pp.377-387
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• 2008

The study is to research their parenting efficacy and parenting practices of a parent teacher as a volunteer(PTV) in the kindergarten. The subjects were mothers (N=127) in Choongbuk Province who had had volunteer education as a teacher assistant. The data were collected by their completing a questionnaire about Parenting efficacy and a Parent As A Teacher inventory (PAAT). The results include as follows: firstly, in PTV's parenting efficacy, 'the type of educational institution children are attending' is an important variable. Secondly, 'mother's educational background', 'father's educational background', and 'the type of educational institution children attending' are important variables in volunteer parents' parenting practices. Besides, 'mother's educational background' and 'participation motivation in volunteer activity' are important variables in parenting practices of 'control/permission' and of 'teaching/learning', and in general parenting practices. Finally, 'parenting efficacy', 'mother's educational background', and 'the sex of children' are important variables in volunteer teachers' parenting practices.

• 복식
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• 제13권
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• pp.123-134
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• 1989

The purpose of this study was to identify the predictable variables of criteria on clothing selection. Relationships among criteria on clothing selection, psychological variable, lifestyle variable, and demographic variable were tested by Pearsons' correlation coefficients and One-way ANOVA. The predictors of criteria on clothing selection were identified by Regression. The consumers were classified into several benefit-segments by criteria on clothing selection, and then, the character of each segment were identified by Multiple Discriminant Analysis. Data was obtained from 593 women living in Pusan by self-administered questionnaires. The results of the study were as follows; 1. Relationship between criteria on clothing selection and relative variables. 1) The important variables to criteria on clothing selection were "down-to-earth-sophisticated", "traditional-morden", "conventional-different", "conscientious-expendient", need for exhibitionism, need for sex, fashion / appearance. 2) The important factor of clothing selection criteria was comfort and it has significant difference among ages. 3) The higher of social-economic status have the more appearance-oriented selection. 2. Predictors of criteria on clothing selection. There were several important predictors of criteria on clothing selection like lifestyle, need, and self-image. Especially, fashion / appearance in lifestyle variable was very important. 3. Segmentation by the criteria on clothing selection. There are four groups Classified by the criteria on clothing selection, that is practical-oriented group, appearance-oriented group, practical and appearance-oriented group, and indifference group. The significant discriminative variables were Fashion / appearance factor, need for exhibitionism, and need for sex. The result of this study can be used for a enterprise to analysis the consumer and to build the strategy of advertisement clothing.

• 한국조경학회지
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• 제22권2호
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• pp.81-103
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• 1994

In recent years, the visual characteristics of natural open space and greenbelt surrounding the urban landscapes have been changed with sprawling of residential areas and highrised residential buildings. Since these natural areas being the background element of residential areas are topographically sloped mountains in many cities. It is easy to be seen in the distance and it is important to preserve these areas as a visual infrastructure of the urban landscape. The purposes of this study are to extract the factors of landscape impact evaluation for these areas and to clarify the physical landscape variables representing these factors, and to infer the visual-perceptional relationships between image and landscape variables. As results, conceptional three factors were extracted with semantic differential evaluation to classified 18 landscape slide, and three regression models were established with factor score of landscapes and physical variables measured in photographs. On the basis of these relationships, visual-perceptional characteristics were discussed by analyzing the data form eye-movement recording to each of landscapes. The factors of "spatial unfolding of backdropped hilly greenspace", "horizontal quence of residential buildings", and "landscape complexity" prove to be important. And it prove important variables of "skyline of mountainous ridge" and "visual edge of building structure" in regression models and eye fixation movements.

• 대한간호학회지
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• 제15권2호
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• pp.5-15
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• 1985

This study was conducted for the purpose of fin-ding out the variance explaining the medical facilities utilization behavior, which is defined adaptation behavior Process by focal, contextual, residual stimuli in Roy's Adaptation Model. What kinds of characteristics can explain adaptation behavior in Roy's Model? And which is the relative importance of input variables? For this analysis, stepwise multiple regression and path analysis was used. The data come from the 1981 Baseline Household Interview Survey in remote rural area. The findings of the analysis can be summarized as follows: First, Total variance of independant variables for adaptation behavior, that is medical facilities utilization including clinic, drug store, health center, herb medicine was shown 16.2 percent. The most important variable which explain the dependent variable was the occurance of illness with the Ra of value 0.112. The illness symptom, living level, regular care source was shown important variables with relatively high the R²value and significant beta coefficient. Second, in the path analysis of variables which is selected important variables, the occurance of illness was shown variable which has the highest direct effect which 0.297 path coefficient. Also the education level of household was shown variable which has the highest indirect effect through living level and the occurance of illness in causal model. Third, This analysis suggests that the occurance of illness belonging focal stimuli are more influenced than others. To sum up, It is seem to the occurance of illness, illness symptom belonging focal stimuli have high explanation ability through direct effect, education level of household among contextual stimuli have explanation ability through indirect effect.

• 대한인간공학회지
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• 제19권3호
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• pp.23-37
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• 2000

Usability is one of the most important factors that affect customers' decision to purchase a product. Several studies have been conducted to model the relationship between the product design variables and the product usability. Since there could be hundreds of design variables to be considered in the model, a variable screening method is required. Traditional variable screening methods are based on expert opinions (Expert screening) in most Kansei engineering studies. Suggested in this study are statistical methods for screening important design variables by using the principal component regression(PCR), cluster analysis, and partial least squares(PLS) method. Product variables with high effect (PCR screening and PLS screening) or representative variables (Cluster screening) can be used to model the usability. Proposed variable screening methods are used to model the usability for 36 audio/visual products. The three analysis methods (PCR, Cluster, and PLS) show better model performance than the Expert screening in terms of $R^2$, the number of variables in the model, and PRESS. It is expected that these methods can be used for screening the product design variables efficiently.

• 대한간호학회지
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• 제29권3호
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• pp.700-710
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• 1999

Promoting women's health lifestyles are important due to their connection to family health. The purpose of this study was to analyse women's health lifestyles(HPL) and their effects on women's life-cycle, so in order to develop a program in a women's health care center. The subjects included were 1080 women over 18 years old living in Wonju city, and were selected by stratified and purposive sampling. The data were collected through a questionnaire and interview. The Cronbach $\alpha$, %, mean, ANOVA, Pearson's correlation, and regression in SPSS PC Win. package was used to analyze the data. The sample was sepernted into three groups premarital group 20.2%(premarital women between 18 and 40 years old), delivery and children rearing group 49.9%(marital women between 18 and 40 years old), over middle agedelderly group 29.9%(women over 41 years old). Significant difference were found in the HPL according to group. Also, relating variables, such as self-efficacy, family functions, health locus of control and gender role perception that were considered relating variables to HPL significantly differed among the three groups. HPL significantly correlated with self-efficacy, family functions, HLOC and gender role perception in all participants and at all groups. The regression analysis of HPL was interpreted 40.6% with relating variables, self-efficacy, health attention, family functions, and internal locus of control, health perception, power other locus of control and chance locus of control in all participant. Self-efficacy, family functions, health attention were considered important variables in premarital group, self-efficacy, family functions, internal locus of control, health attention, health perception and power of control were important in delivery-rearing group. Self-efficacy, health attention, internal locus of control, family functions and health perception were important in middle aged-elderly group. As a result, we found the differences HPL scores and relating variables according to life-cycle groups. Therefore, we should prepare health promoting education programs for women according to women's life cycles. Also we suggest that women's health care centers based on communities was needed for proper management of women's health.

• 디지털산업정보학회논문지
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• 제19권1호
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• pp.77-89
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• 2023

The purpose of this study is to empirically confirm what is an important variable of organizational change by intelligent technology acceptance and whether is a difference in important variables in the organization level of acceptance of intelligent technology. Recently, business models using intelligent technologies such as chat-bots, self-driving cars, credit-prevention fraud, face recognition, and health-care are emerging. External situation factors such as artificial intelligence, big data, COVID-19, and the ESG management are changing the direction of a company's management strategy. This research method established a structural equation model. As a result of the analysis, we found that the leadership, organizational culture, and organizational cooperation variables had a positive effect on human resource development variables. Human resource development found a positive effect on the performance of intelligent technology. In addition, we found the independent variables of leadership, organizational culture, and organizational cooperation had partial mediating effects on the performance of intelligent technology. Each group of levels of intelligent technology found performance differences. The organizational culture variables appeared as important variables in all groups. On the other hand, the leadership variable appeared as an important variable in the middle and lower groups of intelligent technology. The theoretical background of this study is that the business theory was updated through artificial intelligence and intelligent technology theory. As a practical implication, the organization adopting intelligent technology is necessary to prepare a systematic plan for organizational culture change.