• Korean Journal of Health Education and Promotion
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• v.33 no.2
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• pp.77-87
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• 2016

Objectives: This study was conducted to provide data in order to develop effective family planning programs by analyzing the factors which affect contraceptive use among women in Ethiopia. Methods: The community health survey was conducted on women of childbearing age. The research model was developed based on Andersen's Model. A total of 320 respondents were analyzed through Chi-square analysis, t-tests and logistic regression analysis. Results: Contraceptive prevalence rate was 43.1% and most of them were using modern and short-term methods. Among three factor categories, the need factor(unwanted pregnancy experience) was revealed as the most important factor, following enabling factor which was knowing the FP services in health center. Conclusions: These results lead to several conclusions. First, the results imply that programs should focus on women who are in the over 30yr. as well as the poorer economic group and urban residents. Second, to improve the effectiveness of the program, it is important to help them to be motivated themselves and to promote knowledge on various methods. Third, in terms of service delivery, community health workers are expected to take a crucial role. To improve the availability of services, they should provide practical services as those in health center.

• Journal of Families and Better Life
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• v.30 no.3
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• pp.105-118
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• 2012

This study aims to recognize cognition of credit card and shopping value in contemporary society, cognition of credit card and shopping value according to types of consumption orientation, and factors that influence cognition of credit card and shopping value, and ultimately provide a foundation for establishing proper shopping value. A total of 453 women and men residing in Seoul have been set as research object in order to achieve the purpose of the study. The data was analyzed by Cronbach' alpha, frequencies, percentile, mean, factor analysis, K-mean cluster analysis, t-test, ANOVA and Duncan's multiple range test, multiple linear regression. All analysis progress was done by spsswin12.0 statistics program. A summary of this research goes as follows: First, categorization of consumption orientation lead to two clusters of rational and symbolic & conspicuity consumption patterns and cognition of credit card was categorized into positive and negative cognition and shopping value was categorized into hedonic shopping value, utilitarian shopping value and time-save shopping value. Second, rational shoppers had high utilitarian shopping values and symbolic & conspicuity shoppers had high both hedonic shopping values and utilitarian shopping values. Third, the most influential factor in hedonic shopping value and utilitarian was consumption orientation. In conclusion, this research has showed that cognition of credit card and shopping value according to types of consumption orientation patterns varied, and that consumption orientation was an influential factor on cognition of credit card and shopping value.

• Journal of the Korean Institute of Rural Architecture
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• v.8 no.2
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• pp.1-10
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• 2006

Recently the concerns of landscape resources were on the increase about the landscape of control and landscape design. In order to this, purpose of this paper is to develop architectural landscape design data of individual house in Gangwon Provinces. The type of landscape in Donghae seaside consist of three; Road, Mountain, Seaside. And the type of images about individual housing are three; Western, Traditional, Modern. This research is analyzed 18-simulation scenes, factor analysis is used for the SPSS. The results of this study are as follows. First, the housing of western style do not correspond with landscape of Road, but landscape of mountain and seaside were suitable to the western style. Second, mountain in Donghae seaside harmonizes with housing of traditional style. Third, even though the housing of modern style were marked low assessment in three landscape, we found out relation, modern housing was well-matched load landscape. Finally, to improve of landscape housing, which will serve as systematic approach with association of clients, constructors, designers and public service personnel.

• Journal of the Korean Society of Clothing and Textiles
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• v.19 no.2
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• pp.216-229
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• 1995

The main purpose of this study was to develop and validate a scale for measuring situation\ulcornerspecific anxiety that consumers experience while shopping for ready\ulcornerto-wear clothes. A 92 five-point items, Likert type scale, entitled the RMCCAS(The Ready\ulcornerMade Clothes Consumer Anxiety Scale) was developed and administered to 354 female college students. Data collected were subjected to a series of statistical analysis: item analysis, factor analysis, estimation of validity and reliability and descriptive statistics. A second-order factor analysis conducted to 15 factors obtained from a first-order factor analysis yieled three factors; Fitness of Fashion and Design to indiviuality and time(scale 1), Reliance on Price and Quality including Suitableness of Material and Color(scale 2), and Practicality in Dressing and Maintaining(scale 3). Obtained concurrent validity of the RMCCAS subscales with the trait anxiety were .056(subscale I), .082(subscale 2), .033(subscale 3), and .050(total scale). that with state anxiety were .421(subscale I), .217(subscale 2), .198 (subscale 3), and .407(total scale); that with the CP AS were. 721(subscale 1), .789(subscale 2), .570(subscale 3), and .841(total scale). All of the obtained coefficients of Cronbach alpha, split\ulcornerhalf reliability, and test-retested reliability over an interval of. 8 weeks were above .80. Besides, descriptive data from the RMCCAS satisfactorily supported conditions required for the normal distribution of obtained scores. In conclusion, a close exa:nination of validity, reliability, and descriptive statistics of the RMCCAS indicates that three subscales including the scale have a resonable scaling-prop\ulcornererties. Further research is suggested for obtaining norms for more representative target samples and for tapping the possibility of using subsea Ie 2 as a unidimensional measure .

• Informatization Policy
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• v.18 no.3
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• pp.25-49
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• 2011

As a way to gather diverse information required for everyday living, the importance of social networks has been growing. Social network services have been spreading rapidly because of diffusion of the Internet, evolution of social network sites, and recognition of the importance of social networks. Recently, the social network service has been evolved based on a new paradigm, Web 2.0, pursuing participation and openness. Following the adoption of Web 2.0 technologies, the social network service allows users to make and maintain new relationships in a more convenient way. Users of the social network service tend to reveal their personal information, and share their ideas and content with other people; in the process they become aware of their existence, feel satisfaction with life and exert influence to others as a member of the society. This study uses higher order factor analysis to analyze factors that affect the intention of using the social network service. A research model was developed with second-order factors including perceived social presence, perceived gratification and perceived social influence. First-order factors are grouped by technical, individual and social factors. Smart PLS 2.0 was used to conduct empirical analysis. The analysis results supported the validity of the research model.

• Proceedings of the Culinary Society of Korean Academy Conference
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• 2006.08a
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• pp.115-134
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• 2006

This study was conducted during a period from July 4 to 30 to investigate the effect of restaurant environment upon customer's satisfaction and crowdedness awareness. Total 800sets of questionnaire were distributed among major food service corporations. They were 16 restaurants from McDonald, Burger King, Popeyes, KFC, Rits Carlton, Intercontinental, The Westin Chosun, Hilton, Merriot, Outback Steak House, Bennigans, VIPS, Pizza Hut Pul-hyanggi(Scent of grass), Nolboo Co.,, and Our Story, and received 50 see each to hand out to their customers. Out of total 800 sets of questionnaires, 592 sets (74.25% were retrieved and underwent a Multiple Regression Analysis. We found the following results from the study. First among each variable of restaurant environment that had a significant effect on the crowding, 'pTast service' and 'responsiveness to customer complaints' sooted a regression coefficient value 0.381 and 0.325 respectively. Second, among each restaurant environment factor that had a significant effect on crowding, 'quality of facility' sooted the highest regression coefficient value 0.423 with a standard error score 0.1074, fellowed by 'status of waiting', 'overall ambience' and 'service quality' in ascending order. Third, in the analysis of the effect of each environmental factor upon the satisfaction rate, 'status of waiting' showed the highest regression coefficient value 0.3821 with a standard error score 0.4565, followed by 'cleanliness', 'service quality' and 'conveniency', in ascending order.

• Culinary science and hospitality research
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• v.12 no.4 s.31
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• pp.63-79
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• 2006

This study was conducted to investigate the effect of restaurant environment upon customers' satisfaction and crowdedness awareness from July 4 to 30. Total 800 sets of questionnaire were distributed among major foodservice corporations including 16 restaurants from McDonald, Burger King, Popeyes, KFC, Ritz Carlton, Intercontinental, The Westin Chosun, Hilton, Merriot, Outback Steak House, Bennigans, VIPS, Pizza Hut, Pul-hyanggi(Scent of grass), Nolboo Co., and Our Story. They received 50 sets each to hand out to their customers. Out of total 800 sets of questionnaires, 592 sets (74.25%) were retrieved and underwent the Multiple Regression Analysis. We found the following results from the study. First, among each variable of restaurant environment that had a significant effect on crowdedness, "fast service" and "responsiveness to customer complaints" scored a regression coefficient value 0.381 and 0.325 respectively. Second, among each restaurant environment factor that had a significant effect on crowdedness, "quality of facilities" scored the highest regression coefficient value 0.423 with a standard error score 0.1074, followed by "condition of waiting", "overall ambience" and "service quality" in ascending order. Third, in the analysis of the effect of each environmental factor upon the satisfaction rate, "condition of waiting" showed the highest regression coefficient value 0.3821 with a standard error score 0.4565, followed by "cleanliness", "service quality" and "convenience', in ascending order.

• Journal of The Korean Society of Agricultural Engineers
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• v.55 no.3
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• pp.85-89
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• 2013

In the current domestic, many industrial accidents have happened. And these are analyzed according to several factors. But it is difficult that they evaluate their business safety. Thus, we conducted a study on business specific safety assessment techniques in order that business know their safety level and perform appropriative safety activities. Study methods are survey and AHP (Analytic Hierarchy Process). Each specific weighting factors to calculate the survey was conducted for safety and consulting experts (20 persons). Weight factor was used to AHP decision support as one of the ways through a number of alternatives to the ratings for the Minesota Multiphasic. Factors are each type of industry, specific industrial scale, disaster type and strength, worker age and tenure period, and region. First, survey was conducted with 20 professionals to estimate the weighting factors. Weights between factors using the AHP analysis tool based on the mean values were calculated. Second, last 3 years between the industrial accidents statistics were used to calculate the weights for each of the rating factors in the Occupational Safety and Health Agency. Grade weights between each factor which was based on the rating of each factor was calculated as the average of three years. Finally, the weights between each factor and the grade weights for each factor using the safety level of the enterprise were calculated so that you can evaluate the weighting.

• Journal of Environmental Science International
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• v.25 no.6
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• pp.767-787
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• 2016

In this study, we analyzed on-site monitoring data for 15 tributaries in Geumho watersheds for 3 years (2011-2013) in order to sort out priorities on water quality characteristics and improvement. As a result of estimating contribution to contamination of the tributary rivers, Dalseocheon showed the highest load densities, despite the smallest watershed area, with 22.7% $BOD_5$, 30.7% $COD_{Mn}$, 31.3% TOC and 47.6% TP. After conducting PCA (principal component analysis) and FA (factor analysis) to analyze water quality characteristics of the tributary rivers, the first factor was classified as $COD_{Mn}$, TOC, EC, TP and $BOD_5$, the second factor as pH, Chl-a and DO, the third factor as water temperature and TN, and the fourth factor as SS and surface flow. In addition, arithmetical sum of each factor's scores based on grading criteria revealed that Dalseocheon and Namcheon were classified into Group A for their highest scores - 96 and 93, respectively -, and selected as rivers that require water environmental management measures the most. Also, water environmental contamination inspection showed that Palgeocheon had the most number of aquatic factors to be controlled: $BOD_5$, $COD_{Mn}$, SS, TOC, T-P, Chl-a, etc.

• JSTS:Journal of Semiconductor Technology and Science
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• v.4 no.4
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• pp.293-299
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• 2004

An active RC 2nd order Butterworth filter suitable for a baseband channel-selection filter of a direct conversion receiver is presented. The linearity of the 2nd order Butterworth filter is analyzed. In order to improve the linearity of the filter, the operational amplifiers should have a high linear gain and low 3rd harmonic, and the filter should be designed to have large feedback factor. This second order Butterworth filter achieves-14dBV in-channel (400kHz, 500kHz) IIP3, +29dBV out-channel (10MHz, 20.2MHz) IIP3 and 15.6 $nV/\sqrt{Hz}$ input-referred noise and dissipates 10.8mW from a 2.7-V supply. The analysis and experimental results are in good agreement