• International Journal of Human Ecology
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• v.16 no.2
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• pp.21-31
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• 2015

This study explored determinants of family support that young renter households received to afford their housing costs. Microdata set of the 2014 Korea Housing Survey was used as secondary data for the study. Total 1,752,899 households headed by persons between 20 and 34 years of age and whose rental type was either Jeon-se or monthly rental with deposit in private rental units were selected as study subjects. For the data analysis, a series of discriminant analysis was conducted using IBM SPSS 21.0. Major findings were as follows. (1) Among the subjects, 28.2% were found to receive financial support from parents or other relatives. (2) To see the discriminant analysis results, a linear combination of seven household and housing characteristics (householder's gender, whether or not the householder worked in the previous week, whether or not the householders have a spouse, tenure type, structure type, location and deposit amount) could explain 44.6% of variance in young renter households' receipt of family support with a prediction accuracy of 77.2%. (3) To summarize the final discriminant model, Jeon-se renter households in location other than Incheon or Gyeonggi Province living in a unit in structure other than multifamily structure headed by younger householders that did not worked previous week or without spouse; with a greater deposit had the maximum tendency to receive family support to pay rental costs.

• Journal of Institute of Control, Robotics and Systems
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• v.13 no.9
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• pp.838-842
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• 2007

A brain-computer interface(BCI) system is a communication channel which transforms a subject's thought process into command signals to control various devices. These systems use electroencephalographic signals or the neuronal activity of many single neurons. The presented study deals with an efficient analysis method of neuronal signals from a BCI System using an independent component analysis(ICA) algorithm. The BCI system was implemented to generate event signals coding movement information of the subject. To apply the ICA algorithm, we obtained the perievent histograms of neuronal signals recorded from prefrontal cortex(PFC) region during target-to-goal(TG) task trials in the BCI system. The neuronal signals were then smoothed over 5ms intervals by low-pass filtering. The matrix of smoothed signals was then rearranged such that each signal was represented as a column and each bin as a row. Each column was also normalized to have a unit variance. As a result, we verified that different patterns of the neuronal signals are dependent on the target position and predefined event signals.

• Journal of the Korean Society of Food Culture
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• v.35 no.2
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• pp.193-200
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• 2020

This study was conducted to understand the sensory characteristics and consumer acceptance for the commercially available clear broth for noodles. Totally, eight different clear broth samples were evaluated in this study. Seven trained panelists developed and evaluated sensory characteristics in the descriptive analysis. Significant differences (p<0.05) were obtained for all 28 attributes evaluated. Descriptive data was obtained by performing multivariate analysis of variance to identify differences between samples. Principal component analysis (PCA) was performed on the mean values of descriptive attributes obtained in the descriptive analysis, and summarizes the sensory characteristics of clear broth for noodles. PCA of the clear broths revealed that the first two principal components are responsible for 80.66% variations. For sensory testing, 160 consumers were recruited, and their acceptance for each sample was assessed. Consumer data was obtained by applying partial least square-regression (PLSR) to establish the relationship between the descriptive data and the consumer acceptance data.

• Journal of the East Asian Society of Dietary Life
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• v.19 no.1
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• pp.1-8
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• 2009

The purpose of this study was to investigate consumption behaviors regarding red pepper paste according to the food-related lifestyles of housewives. Data were collected from 210 housewives living in the Gyeongnam region of Korea through a self-administered questionnaire on November, 2008. Frequencies, factor analysis, Cronbach's alpha, cluster analysis, one-way analysis of variance, and chi-square tests were conducted using SPSS v. 14.0. Food-related lifestyles were categorized into one of five factors: popularity-seeking type, health-seeking type, convenience-seeking type, safety-seeking type, and taste-seeking type. In addition, the respondents were divided into four groups by cluster analysis: safety-seeking group, convenience-seeking group, popularity-seeking group, and taste-seeking group. The chi-square tests revealed that there were significant differences in awareness regarding how to prepare red pepper paste, the reason for buying it at the market, where to buy it, where to obtain information regarding it, the most important factor considered when buying it, and the reason for dissatisfaction with it at the market.

• Korean Parent-Child Health Journal
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• v.2
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• pp.64-82
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• 1999

This study was conducted to test the reliability and validity of Maternal Self-Report Inventory that was developed by Shea and Tronick for measuring maternal self-esteem. The subjects were 154 mothers. The construct validity for the scale was tested by factor analysis with five factor loading solution based on the previous study. One item was excluded because total-item correlation was too low, so that the number of total items were twenty-five, the analysis yielded five well defined factors: confidence on the maternal role, general ability of maternal role, caretaking ability, readiness on maternal role, and feeling on the pregnancy and deli very. These five factors explained 52.38% of the variance in the maternal self-esteem. Maternal self-esteem was not affected by maternal age, educational level, occupation, religion, delivery type, or parity. The reliability of the scale was determined with Cronbach's alpha coefficient and Guttman split-half coefficient. Cronbach's alpha was .82, for 26 items, and .83 if one item was deleted. Guttman split-half cofficient was .75. In subscale analysis, Cronbach's alpha was .63~.84. In conclusion. Maternal Self-Report Inventory showed a high degree of validity and reliability, suitable in Korean mothers for measuring maternal self-esteem. In the further study, it would be necessary to compare the maternal self-esteem between mothers with normal babies and premature babies, for confirming the criterion-related validity of the inventory.

• Journal of the Korean Society of Clothing and Textiles
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• v.42 no.3
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• pp.438-451
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• 2018

This study analyzed differences in awareness, attitude, and purchase intention for multi-brand stores among fashion lifestyle groups. A questionnaire survey was conducted between September 12th and September 30th 2016 with women in their 20s to 40s living in the Seoul metropolitan area, Busan, Gyeongnam area, Daegu, and Gyeongbuk area. Data were collected from 417 women and analyzed using factor analysis, cluster analysis, analysis of variance and a Duncan test. The results of this study are summarized as follows. First, the result of factor analysis showed that fashion lifestyle was divided into five factors such as individuality orientation, practicality orientation, conspicuous orientation, fashion orientation, and economic orientation. The respondents were classified into economic pursuit group, individuality seeking group, active fashion seeking group and practicality seeking group according to fashion lifestyle factors. Second, there were significant differences in awareness, attitude, and purchase intention of multi-brand stores among fashion lifestyle groups. Fashion seeking group was more aware of, had a positive attitude toward, and purchased more fashion products in multi-brand stores than other groups.

• Journal of The Korea Institute of Healthcare Architecture
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• v.23 no.1
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• pp.7-14
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• 2017

Purpose: Since the large hospitals are one of the most intensive energy users among building types in Korea, it is important to investigate and apply appropriate energy conservation measures. There are many researches on energy conservation measures for HVAC system in hospitals, but only few useful guidelines for envelope design variables were existed. The building envelope is one of the important factors to building energy consumption and patients' comfort. The purpose of this study is to suggest the most influential envelope design variables for each end-use energy demand. Methods: 100 samples were generated by LHS(Latin Hypercube Sampling) method. After energy performance simulation, global sensitivity analysis was performed by the regression method. DesignBuilder, Simlab 2.2 and JEPlus were used in this process. Results: The most influencing variables are SHGC, SHGC and VT for heating, cooling, and lighting, respectively. However, the most influencing variable for total energy demand is WWR(Window to Wall Ratio). The analysis was conducted based on the coefficient of variance results. Implications: The six envelop design variables were ranked according to the end-use energy demand.

• The Journal of Industrial Distribution & Business
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• v.13 no.2
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• pp.33-43
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• 2022

Purpose: To examine the strength of social capital (SC) that are likely to affect Created share value (CSV) factors. This research aims to conduct a literature review to establish the components of SC and CSV identified within educational research and use factor analysis to identify how numerical values differ from the average and the amount of variance expressed in eigenvalue and factor score. Research design, data and methodology: To achieve the purpose of the study and provide adequate empirical results, we conducted the structural equation analysis using IBM AMOS 24.0 and collect online questionnaires from top practitioners, managers and non-managerial employees in Korean education firms, which will be used to conduct a factor analysis to assess SC's effect on CSV. Results: Final analysis of the path coefficient of the research model indicated that the SC values based on six have a significantly positive (+) effect on CSV values based on three categories (β=.35, p<.001). Therefore, the current research accepts the hypothesis in determining that SC can enhance the impact of CSV in educational companies. Conclusions: From the study, the practitioners of education companies should make more efforts to find action plans to create corporate social responsibility and shared value, which are required throughout society.

• Journal of Distribution Science
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• v.21 no.7
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• pp.73-82
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• 2023

Purpose: Social networking services have been recognized as an attractive distribution channel at a time when efforts to deliver effective messages to consumers are essential amid a flood of advertisements in the multi-media era. In that sense, this study investigated the effect of the scarcity message type (limited-time vs. limited-quantity) and sender type (corporate vs. consumer) on the intention to purchase golf equipment by Instagram distribution channel. Research design, data and methodology: Data from 108 college students in their 20s and 30s with experience using Instagram were collected online through convenience sampling. A frequency analysis, exploratory factor analysis, reliability analysis, independent sample t-test, and two-way analysis of variance were performed using SPSS 23.0. Results: The results showed that limited-quantity messages induce a higher purchase intention than limited-time messages. Similarly, consumer-sent advertisements induce a higher purchase intention than corporate-sent advertisements. Further, there is no statistically significant interaction effect of the scarcity message type and sender type on the intention to purchase golf equipment. Conclusions: This study is meaningful in verifying consumers' purchase intention depending on the type of scarcity message and the type of sender in Instagram advertisements. The results yield significant implications for marketers and several directions for future research.

• Atmosphere
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• v.17 no.1
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• pp.45-53
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• 2007

In order to investigate the impacts of heat wave on human health, cluster analysis of meteorological elements (e.g., temperature, dewpoint, sea level pressure, visibility, cloud amount, and wind components) for identifying offensive synoptic air masses is employed. Meteorological data at Seoul during the past 30 years are used. The daily death data at Seoul are also employed. Occurrence frequency of heat waves which is defined by daily maximum temperature greater than the threshold temperature (i.e., $31.2^{\circ}C$) was analyzed. The result shows that the frequency and duration of heat waves at Seoul are increasing during the past 30 years. In addition, the increasing trend of the frequency and duration clearly appears in late spring and early autumn as well as summer. Factor analysis shows that 65.1% of the total variance can be explained by 4 components which are linearly independent. Eight clusters (or synoptic air masses) were classified and found to be optimal for representing the summertime air masses at Seoul, Korea. The results exhibit that cluster-mean values of meteorological variables of an offensive air mass (or cluster) are closely correlated with the observed and standardized deaths.