• Journal of Families and Better Life
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• v.34 no.6
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• pp.1-14
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• 2016

The purpose of this study is to examine the relation among adolescents' perception of parental overprotection, goal-seeking orientation, self-handicapping and academic procrastination. Questionnaires were administered to 1200 male and female high school students in Gyeonggi Province. A total of 942 questionnaires were statistically analyzed through mean, standard deviation, frequency analysis, one-way analysis of variance, Pearson's correlation analysis, and multiple regression analysis. The major results of the study are as follows: First, adolescents' academic procrastination differed by school grades. Second, for the high-performing group, self-handicapping, goal-seeking orientation and parental overprotection were significant predictors of their academic procrastination. For the mid-level performing group, self-handicapping and goal-seeking orientation were significant predictors of their academic procrastination. For the low-performing group, self-handicapping was the only predictor of their academic procrastination. Third, for the high-performing group, self-handicapping meditated the relation between parental overprotection and academic procrastination. Those results provide useful information regarding proactive support or intervention for adolescents' academic procrastination.

• Journal of the Korean Society of Clothing and Textiles
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• v.29 no.1 s.139
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• pp.103-113
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• 2005

This study was intended to examine factor structure of value and clothing behavior and the effects of value on clothing behavior, to investigate clothing behavior and clothing purchasing behavior of the groups segmented by the value factors and the difference of those between male group and female group and to provide useful information for establishment of marketing strategies. The subjects were 575 university students. A total of 575 questionnaires was analyzed with factor analysis, cluster analysis, ANOVA, Duncan's multiple range test, ${\chi}^2-test$, regression analysis, and correlation analysis. The results were as follows: 1. Value was composed of 2 factors: personal orientation value and social orientation value. Clothing behavior were composed of 9 factors: interest, fashion, statue symbol, individuality, psychological dependence, comfort, aesthetic sense, economical efficiency, and social approval. 2. Clothing behavior and clothing purchasing behavior were significantly different among 3 groups segmented by 2 value factors. 3. The effects of value on clothing behavior was significantly different. 4. The effects of value on clothing behavior, clothing behavior and clothing purchasing behavior between male group and female group were different.

• The Research Journal of the Costume Culture
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• v.22 no.5
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• pp.809-822
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• 2014

The purpose of this study was to investigate male adult' appearance management behavior according to objectified body consciousness. The subjects were 648 male adults aged from 20 to 59 and measuring instruments consisted of objectified body consciousness, appearance management behavior, and subjects' demographics attributions. The data were analyzed by Cronbach's ${\alpha}$, factor analysis, cluster analysis, multiple response analysis, cross tabs analysis, ${\chi}^2$ test, and t-test. The results were as follows. First, 3 dimensions (body shame, body surveillance, and control belief) were emerged on objectified body consciousness, and subjects were divided into 2 groups (objectified group, and non-objectified group) by this variable. Second, male adults were deeply aware of the need of appearance management, and showed the high level of intention to perform appearance management behavior. Third, objectified group showed much more active appearance management behavior than non-objectified group. This results concluded that objectified body consciousness is a very useful variable to understand male adult' appearance management behavior.

• Journal of the Korean Society of Clothing and Textiles
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• v.32 no.5
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• pp.766-776
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• 2008

The purpose of this study was 1) to identify the reasons for delay of decision making and the shopping information in internet shopping, 2) to classify consumers based on the clothing benefits, 3) and to examine the differences among consumer groups in the reasons for delay of decision making and the shopping information. The data were collected from a sample of 500 internet shopper aged from 20 to 40. This study used factor analysis, multiple regression analysis, Pearson's correlation analysis, cluster analysis and ANOVA. The results showed that the reasons for delay of decision making consisted of eight factors: Performance risk, Comparison shopping, Economic shopping, Social risk, Uncertainty, Expecting of market change, Product unsatisfaction, Passive shopping. The shopping information consisted of three factors: Product variety, Product information, Additional information. Five factors of clothing benefits were Economy, Figure compensation, Social position, Individuality, and Comfort. The respondents were classified into four groups by five factors of clothing benefits; Individuality seeking group, Low-benefits seeking group, Economy seeking group, Figure compensation/comfort seeking group. There were significant differences among groups in the reasons for delay of decision making and the shopping information among groups. Therefore, marketers need to provide different shopping information for delay closure by target groups.

• Journal of the Korean Society of Clothing and Textiles
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• v.26 no.11
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• pp.1593-1604
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• 2002

The purpose of the study were to find how the trend had an effect on a buying motivation, a selecting standard, a frequency of use, a purchase place of cosmetics, makeup and the distinctive quality of social strata of regarding a clothing shopping orientation. The subjects of investigation were the women in twenties who live in Seoul and Chonnam province. This study had been done from May to July 2001, and 660 questionnaires were used for analysis. The measuring tools used were the items of matters of preceding studies and developed ones by researchers on which questionnaires were prepared. Factor and cluster analysis and Duncan's multiple range test, ANOVA, x$^2$-test, frequency, and percentage as analysis methods were used through SPSS. The results of the study were as follows. The clothing shopping orientation divided five shopping orientations such as ostentatious style, enjoyable style, economical style, and prudent style, and an attachment style for special brands and shops. On the basis of this result, the groups 20's females were classified into low groups by the cluster analysis; economical shopping group, indifferent shopping group, conspicuous shopping group, and recreational shopping group. In the case of cosmetics purchasing motives, evaluation criteria of cosmetics, stores selection criteria were found according to shopping orientation subdivision, and there was the significant difference between the groups in frequency of use, a purchase place of cosmetics.

• Journal of the Korea Fashion and Costume Design Association
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• v.19 no.3
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• pp.127-142
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• 2017

The purpose of this study was to investigate the clothing and cosmetics purchasing behaviors of middle aged male consumers according to objectified body consciousness. The subjects were 329 male adults aged from 40 to 59, and measuring instruments consisted of objectified body consciousness, clothing and cosmetics purchasing behaviors, and subjects' demographics attributions. The data were analyzed by factor analysis, cluster analysis, multiple response analysis, cross tabs analysis, and $x^2$ test using the SPSS program. The results were as follows. First, three factors (body shame, body surveillance, and control belief) emerged on objectified body consciousness. Second, subjects were divided into 2 groups (objectified group and non-objectified group) by objectified body consciousness. Third, these two consumer groups showed many differences regarding clothing and cosmetics purchasing behaviors. The objectified group showed many more positive clothing and cosmetics purchasing behaviors than the non-objectified group in terms of purchase motives, selection criteria, information source, purchase place, and purchase cost per month. These results show that objectified body consciousness is a useful variable for understanding adult male clothing and cosmetics purchasing behavior and to segment the male consumer market effectively.

• Journal of the Korean Society of Safety
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• v.33 no.6
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• pp.37-41
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• 2018

Process safety technology has developed from qualitative methods such as HAZOP (hazard and operability study) to semi-quantitative methods such as LOPA (layer of protection analysis), and quantitative methods are actively studied these days. Quantitative risk assessment (QRA) is often based on fault tree analysis (FTA). FTA is efficient, but difficult to apply when failure events are not independent of each other. This problem can be avoided using a Markov process (MP). MP requires definition of all possible states, and thus, generally, is more complicated than FTA. A method is proposed in this work that uses an MP model and a Weibull distribution model in order to construct a reliability model for multiple dependent failures. As a case study, a pressure safety valve (PSV) is considered, for which there are three kinds of failure, i.e. open failure, close failure, and gas tight failure. According to recently reported inspection results, open failure and close failure are dependent on each other. A reliability model for a PSV group is proposed in this work that is to reproduce these results. It is expected that the application of the proposed method can be expanded to QRA of various systems that have partially dependent multiple failure states.

• Journal of Korean Home Economics Education Association
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• v.14 no.1
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• pp.1-13
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• 2002

The purpose of this study is to find out the level of purchasing behavior and related variables of Korean adolescents in Kangwon Province. and to suggest a direction of consumer education for rational purchase and of Home Economics Education. through noticing the influence of socio-demographic variables and socialization-related variables. To find out the results of this study, a survey was made using questionnaires with middle school students who live in Kang-won Province. and 472 Questionnaires were used as the analysis data. The methods of statistical analysis used for this study were Cronbach' ${\alpha}$. Frequency Distribution, Percentile. Mean. Standard Deviation. ANOVA, t-test. Duncan's Multiple Range Test, Multiple Regression Analysis. and also SPSS PC+ was used. The summaries of the results of this study were as follows. First. the level of the adolescents'purchasing behavior was the average 3.34 which is higher than the centered number 3, and the level of pre-Purchasing behavior(3.36) was higher than that of the post-purchasing behavior (3.27). Second. the adolescents' purchasing behavior showed the significant difference according to the mothers' educational level and family income. Third among the socialization-related variables. the group which had much communications with their parents and friends about purchase. the group which got much consumer education in school and their home. the group which can see much advertisements about purchase showed high level of purchasing behavior. Fourth. in the regression analysis. the consumer education in school. the communication with parents or friends were significant variables to the level of purchasing behavior. Looking into the subcategory. the communication with parents. the amount of pocket money. the father's occupation were significant variables to the level of pre-purchasing behavior, And the consumer education in school. the communication with parents or friends. the father's occupation were significant variables to the level of post-purchasing behavior.

• Fire Science and Engineering
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• v.30 no.4
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• pp.20-26
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• 2016

When the fire takes place in Nuclear Powr Plants(NPPs), the reactor should achieve and maintain safe shut-down conditions and minimize the radioactive material released to the environment. The U.S. Nuclear Regulatory Commission (NRC) has issued numerous generic communications related to fire protection over the past 20 years, after it issued its requirements in the Fire Protection Rule set forth in Title 10, Section 50.48 of the Code of Federal Regulations (10 CFR 50.48) and Appendix R to the 10 CFR 50. The and Nuclear Energy Institute (NEI) has developed a Methodology for Risk Informed Fire Safe-Shutdown Analysis, which is related to the Deterministic Method for Multiple Spurious Operations solutions. The aim of this study was to identify, achieve, and maintain Post-Fire Safe-Shutdown of the Main Control Room (MCR) of the CANDU reactor, even though one train of the multiple Safety Structures, Systems, and Components (SCCs) fail by the technical specification and analysis method.

• The Korean Journal of Pain
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• v.32 no.2
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• pp.120-128
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• 2019

Background: We aimed to explore the American College of Rheumatology (ACR) 1990 and 2011 fibromyalgia (FM) classification criteria's items and the components of Fibromyalgia Impact Questionnaire (FIQ) to identify features best discriminating FM features. Finally, we developed a combined FM diagnostic (C-FM) model using the FM's key features. Methods: The means and frequency on tender points (TPs), ACR 2011 components and FIQ items were calculated in the FM and non-FM (osteoarthritis [OA] and non-OA) patients. Then, two-step multiple logistic regression analysis was performed to order these variables according to their maximal statistical contribution in predicting group membership. Partial correlations assessed their unique contribution, and two-group discriminant analysis provided a classification table. Using receiver operator characteristic analyses, we determined the sensitivity and specificity of the final model. Results: A total of 172 patients with FM, 75 with OA and 21 with periarthritis or regional pain syndromes were enrolled. Two steps multiple logistic regression analysis identified 8 key features of FM which accounted for 64.8% of variance associated with FM group membership: lateral epicondyle TP with variance percentages (36.9%), neck pain (14.5%), fatigue (4.7%), insomnia (3%), upper back pain (2.2%), shoulder pain (1.5%), gluteal TP (1.2%), and FIQ fatigue (0.9%). The C-FM model demonstrated a 91.4% correct classification rate, 91.9% for sensitivity and 91.7% for specificity. Conclusions: The C-FM model can accurately detect FM patients among other pain disorders. Re-inclusion of TPs along with saving of FM main symptoms in the C-FM model is a unique feature of this model.