• Journal of Korean Academy of Nursing
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• v.25 no.4
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• pp.807-824
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• 1995

This study was intended to provide women who are experiencing menopause with effective nursing care by exploring the menopause experience. The purpose of the research was to understand the subjective feelings of women about the question of what the menopause experience is. Q-Methodological method was used for that purpose. As the research method, Q-statements were collected preliminary to the study of through in -depth interviews and a literature review. For the study 34 Q-statements were selected. There were 21 women as subjects for the research. The 21 women sorted the 34 statements using the principle of Forced Normal Distribution. The principle of Forced Normal Distribution, which has nine scales to measure the individual opinions, was called Q-Factor Analysis by using PC Quanl Program to supply the material. As a result, there were four categories(self-com-passion type, self-regulation type, self-perception type, self-abandonment type) of special opinion about the menopause experience in these women. The first type was called Self-compassion This type' was associated with varying degrees of emotonal instability(psychological withdrawal). And type in menopause signifies loss of a socially valued status and may result in depressive symptoms. This type expresses the menopause experience as associated with negative reaction. The second type is called Self-regulation. This type overcomes the menopause experience more actively than the other types and do not express the menopause experience as one of suffering. This type make efforts by themselves to regulate the mono-pause experience. The third type is called Self-perception. This type perceives the experience of menopause which as typical menopausal syndrome (hot flashes and decreased vaginal lubrication, decreased estrogen producing atrophic changes of the labia and vaginal mucosa, making intercourse uncomfortable). The fourth type is called Self- abandonment. This type denies the experience of menopause. The meaning of menopausal experience is significantly related with a life accident or life load. Also, This type experiences pain in the musculoskeletal system. As a result, The meaning of the menopausal experience is affected by perceived subjective experience of the nurses, the need to understand each persons meaning of the menopause experience and to develop appropriate nursing interventions based on the typology of menopause experience. Finally. The result of the study will provide basic data for nursing intervention the menopausal women.

• Journal of The Korean Society of Agricultural Engineers
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• v.57 no.4
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• pp.39-49
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• 2015

Since most medical facilities and medical personnel are concentrated in urban areas in South Korea, an imbalance of access to medical facilities causes a gap in medical resource availability between urban and rural areas. Accessibility to medical facilities is a means of assessment that evaluates a measure of inequality in utilization of medical resources. The evaluation of accessibility uses Euclidean distance, in general; however, this method has its limits in that Euclidean distance cannot reflect actual distance. This study aims to estimate real road distance from village halls to medical facilities in rural areas using Open Application Programming Interface (Open API) of an internet portal site. Using real road distance, we evaluated medical accessibility and compared it with Euclidean distance. The accessibility to primary medical institutions was valued relatively well, but secondary and tertiary medical institutions were vulnerable in Pyeonchang-gun. Comparing Euclidean distance with real road distance from village halls to medical facilities, real road distance appeared to be approximately 1.4 times that of Euclidean distance. This calculation is similar to the circuity factor of Gangwon-do in Korea that estimated to fix the limits of Euclidean distance and assumed real road distance.

• The Journal of Information Systems
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• v.29 no.3
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• pp.237-251
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• 2020

Purpose The research was studied the hierarchical Hangul emotion index by organizing all the emotions which SNS users are thinking. As a preliminary study by the researcher, the English-based Plutchick (1980)'s emotional standard was reinterpreted in Korean, and a hashtag with implicit meaning on SNS was studied. To build a multidimensional emotion dictionary and classify three-dimensional emotions, an emotion seed was selected for the composition of seven emotion sets, and an emotion word dictionary was constructed by collecting SNS hashtags derived from each emotion seed. We also want to explore the priority of each Hangul emotion index. Design/methodology/approach In the process of transforming the matrix through the vector process of words constituting the sentence, weights were extracted using TF-IDF (Term Frequency Inverse Document Frequency), and the dimension reduction technique of the matrix in the emotion set was NMF (Nonnegative Matrix Factorization) algorithm. The emotional dimension was solved by using the characteristic value of the emotional word. The cosine distance algorithm was used to measure the distance between vectors by measuring the similarity of emotion words in the emotion set. Findings Customer needs analysis is a force to read changes in emotions, and Korean emotion word research is the customer's needs. In addition, the ranking of the emotion words within the emotion set will be a special criterion for reading the depth of the emotion. The sentiment index study of this research believes that by providing companies with effective information for emotional marketing, new business opportunities will be expanded and valued. In addition, if the emotion dictionary is eventually connected to the emotional DNA of the product, it will be possible to define the "emotional DNA", which is a set of emotions that the product should have.

• Journal of the Korea Fashion and Costume Design Association
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• v.17 no.3
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• pp.99-113
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• 2015

The purpose of the study was to explore differences in perceived importance among factors of motives for participating in outdoor sports, product selection criteria of outdoor sportswear and store selection criteria, and in buying frequencies among store types and store locations. Another purpose was to find differences in importance of product selection criteria of outdoor sportswear and store selection criteria and in buying frequencies according to store types and store locations among groups according to motives for participation in outdoor sports. The questionnaire was developed by the researcher and was collected by 221 women aged between 40 and 59. The questionnaire was composed of four parts including participation motives, store selection criteria, and product selection criteria measured by Likert type scale, and demographic characteristics measured by nominal scale. Data were analyzed by frequency test, factor analysis, repeated measure ANOVA, Bonferroni adjusted t-test, cluster analysis by Ward method, ANOVA and Tukey's test as a post-hoc test. The results of the study showed that middle-aged women rated health improvement motive as the most important factor for participating in outdoor sports. Among product selection criteria, comfort was the most important, and among store selection, personal selling was the most important. Among store types, buying frequency in off-price store was the highest and among store locations, buying frequency in stores in a residential area was the highest. Moreover, three groups were classified according to motives for participation in outdoor sports: the health improvement motive group, the conspicuous/sociable motive group, the lower motive group The health improvement motive group rated comfort as the most important factor for product selection criteria, and showed the highest buying frequency in downtown stores. Conspicuous/sociable motive groups valued design and utilization for an everyday wear and shopped more frequently in specialty store and/or in downtown stores.

• Journal of Family Resource Management and Policy Review
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• v.24 no.1
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• pp.41-53
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• 2020

The purpose of this study was to identify the factors that affect middle-old aged housewives' participation in lifelong learning as a part of human resource development. Through purposive sampling, the study recruited 163 full-time housewives over age 40 years who live in C City. As a result, first, 87.1 percent of all respondents, or 142, said they were willing to participate in lifelong learning in the future. There was no statistically significant difference in the results of cross-checking by age, educational background and monthly household income variables. Additionally, we used cluster analysis to measure differences in participation intentions according to the perception of human resource development of middle-old aged full-time housewives. The perception variable of lifelong learning is: First, Cognitive degree, second, importance, third, activation awareness. Cluster 1(n=16) was divided into generally low-perception types, such as cognitive degree, importance, and life-long learning activation of the C city, while Cluster 2(n=61) was classified as a type of person who thinks that lifelong learning is important to life and Cluster 3(n=86) was generally classified as a type with a higher lifelong learning perception. and we found that there was no difference in the intention to participate in lifelong learning by all cluster Lastly, we found that participants who valued human resource development scored significantly higher on measures of cognition than those who did not value it. Based on these results, we advocates social change that encourages the cultivation of talent through lifelong learning programs that can positively affect one's unique identity, not just wife and mother, and provide opportunities for self-development.

• Survey Research
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• v.3 no.2
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• pp.47-76
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• 2002

Starting point bias arises in the iterative bidding framework when the initial bid influences respondent's final bids. The bidding game has become the most commonly used method of asking the valuation question in contingent valuation studies. A bidding game is typically conducted by either personal or telephone interview. Bidding begins with an interviewer positing an initial bid (starting bid) to a respondent. If the respondent is willing to pay the initial bid, the interviewer revises the bid upward until a negative respondent is obtained. A negative response to the initial bid downward until an acceptable amount is found. The final bid is a measure of the respondent's Hicksian compensating or equivalent surplus for the item being valued. This paper explicity tested for starting point bias in bidding games. That is, it was asked whether final bids are influenced by the magnitude of the starting bids in the process of valuating the WTP when to improve the quality of running water in Seoul and its vicinity. The result shows staring point bias exists in the present data and its magnitude is ${\delta}$=-0.265237.

• Korean Journal of Social Welfare
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• v.61 no.1
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• pp.33-55
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• 2009

This article reviews 20 empirical studies that have focused on the organizational effectiveness of social welfare organizations since 1980. The purposes of this study were to understand the organizational phenomena of social welfare organizations, to offer practical implications for organizational management and to propose direction for the further researches. Special attention has been paid to identify 1) subjects of research 2) approach and criteria of organizational effectivess and 3) critical factors that impact on organizational effectiveness. The results showed that 1) most of researches utilized samples from social welfare community centers and assisted-living facility, 2) many researches focused on internal process approach and used diverse criteria of organizational effectiveness 3) collective developmental culture, decentralized structure, transformational leadership, open relationship between organization and external environment were critical factors of organizational effectiveness. The review suggests that social welfare managers should practice diverse approach based on vision, purpose and developmental stage of each organization. The managers also should implement more conscious efforts to make supportive and fair work environment where all employees feel valued and can demonstrate their maximum potential and to respond to task environments more proactively. Further research should be conducted from diverse organizations using various research methods. More comprehensive empirical model and multidimensional measure of organizational effectiveness need to be developed.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.12
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• pp.1710-1719
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• 2019

This study is intended to understand defense technologies that require the convergence of various technologies and the integration of systems, and to propose valuation methods that reflect the characteristics of each field. The measure of technology level, integration (system integration technology) between technologies, preparation of manufacturing, and maturity scale of the weapons system to be valued are measured according to the items of measurement factors to verify system performance, and to present a framework for estimating the quantitative values of core technologies using system maturity. Considering the characteristics of each technology field, the research suggests a proper valuation method. In evaluating the value of defense technologies, A proposal is made to evaluate the value of defense technology by competent technical experts in each field, using SRL, which can be evaluated according to the evaluation criteria reflecting the technical characteristics of each field, and to evaluate the completion of the entire system in quantitative terms.

• Journal of Intelligence and Information Systems
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• v.19 no.2
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• pp.55-71
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• 2013

The prediction model is the main factor affecting the performance of a knowledge-based system for bankruptcy prediction. Earlier studies on prediction modeling have focused on the building of a single best model using statistical and artificial intelligence techniques. However, since the mid-1980s, integration of multiple techniques (hybrid techniques) and, by extension, combinations of the outputs of several models (ensemble techniques) have, according to the experimental results, generally outperformed individual models. An ensemble is a technique that constructs a set of multiple models, combines their outputs, and produces one final prediction. The way in which the outputs of ensemble members are combined is one of the important issues affecting prediction accuracy. A variety of combination schemes have been proposed in order to improve prediction performance in ensembles. Each combination scheme has advantages and limitations, and can be influenced by domain and circumstance. Accordingly, decisions on the most appropriate combination scheme in a given domain and contingency are very difficult. This paper proposes a confidence-based selection approach as part of an ensemble bankruptcy-prediction scheme that can measure unified confidence, even if ensemble members produce different types of continuous-valued outputs. The present experimental results show that when varying the number of models to combine, according to the creation type of ensemble members, the proposed combination method offers the best performance in the ensemble having the largest number of models, even when compared with the methods most often employed in bankruptcy prediction.