• Journal of the Korean Home Economics Association
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• v.31 no.3
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• pp.29-46
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• 1993

The purpose of this study were to investigate the relation between home management ability and family life satisfaction of home makers, and to find out variables which influence them. The data were collected though the questionnaire whose respondent were 408 home makers in Kwang Ju and Kang Reung. The data were analyzed by various statistical method such as Cronbach's coefficient, factor analysis, frequency, percentage, mean, F-test, t-test, Duncan's multiple range test, regression analysis and path analysis. The results were as follow. 1. Home management ability score showed 68.5. Influential variables on home management ability were the level of education (husband and wife), occupation of husband and income as sociodemographic variables, and degree of resourcefulness recognition and of communication as psychological variables. 2. Family life satisfaction score showed 74.6. Influential variables on home management ability were the level of education (husband), occupation of husband and income as sociodemographic variables, and degree of resourcefulness recognition, of communication and of stress recognition as psychological variables. 3. The degree of communication was the highest influential variable to have influence on family life satisfaction. And the degree of resourcefulness recognition, of stress recognition, occupation of husband and wife, level of education(husband), number of children were variables to have directly and/or indirectly influence on family life satisfaction.

• Journal of the Korean Home Economics Association
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• v.32 no.4
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• pp.193-208
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• 1994

This study investigated the causality of the children's self-perceived competence and related variables(age, sex, socio-demographic variables, family structure, the number of brother, home environmental process variables and peer group environmental variables.) The subjects of this study were 842 children at age five, seven, nine, eleven and thirteen attending kindergartens. elementary schools and junior high schools and their mothers in Seoul. This study employed children's self-perceived competence scales(The Pictorial scales for 5, 7, Qestionnaire for 9, 11, 13) home environment scales and peer group enviornment scales(the Pictorial scales for 5, 7 Qestionnaire for 9, 11, 13) Freqencies one way-ANOVA Pearson's Cronbach's αmultiple regression and path analysis were used for data-analysis. Major findings were as follows: 1. The results of the analysis of causal model showed that the variables that affected cognitive self-perceived competence directly were age, sex, parent's education economic status of the home the number of brother and peer's emotional support 2. The results of the analysis of causal model showed that the variables that affected social self-perceived competence directly were sex, economic status of the home, peer's emotional support and common activity. 3. The results of the analysis of causal model showed that the variables that affected physical self-perceived competence directly were age, sex, peer's emotional support and common activity.

• Journal of Korean Society for Atmospheric Environment
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• v.24 no.5
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• pp.604-612
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• 2008

The ozone concentration is one of the important environmental issue for measurement of the atmospheric condition of the country. This study focuses on applying the Autoregressive Error (ARE) model for analyzing the ozone data at middle part of the Gyeonggi-Do, Anyang monitoring site in Korea. In the ARE model, eight meteorological variables and four pollution variables are used as the explanatory variables. The eight meteorological variables are daily maximum temperature, wind speed, amount of cloud, global radiation, relative humidity, rainfall, dew point temperature, and water vapor pressure. The four air pollution variables are sulfur dioxide $(SO_2)$, nitrogen dioxide $(NO_2)$, carbon monoxide (CO), and particulate matter 10 (PM10). The result shows that ARE models both overall and monthly data are suited for describing the oBone concentration. In the ARE model for overall ozone data, ozone concentration can be explained about 71% to by the PM10, global radiation and wind speed. Also the four types of ARE models for high level of ozone data (over 80 ppb) have been analyzed. In the best ARE model for high level of ozone data, ozone can be explained about 96% by the PM10, daliy maximum temperature, and cloud amount.

• Journal of the Korean Society of Costume
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• v.51 no.1
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• pp.61-74
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• 2001

This study is designed to examine the consumer behaviors affected by the product quality and the service quality in the garment industry. First of all, it is researched to recognize the differences in the mean of perceived product quality variables and the service quality variables in apparel stores. Secondly, the variables of the product quality and the service qualify are also investigated to see the casual effects in the consumer satisfaction and consumer repurchase intention, respectively. The 522 data, surveyed from the female college students, were analaysed with SPSS 8.0 version. Cronbach $\alpha$Frequency, Factor analysis, one-way ANOVA, Scheffe test, stepwise regression were applied. In conclusion, there are significant differences in the mean of the product quality variables and the service quality variables in the apparel stores. They are the product quality variables such as physical attribute and instrumental performances and the service quality variables regarding sales staff, VMD, store policy, and customer convenience in the apparel stores. The variables of the product quality and the service quality directly have leverage in the consumer satisfaction and repurchase intention.

• Journal of Astronomy and Space Sciences
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• v.14 no.2
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• pp.207-215
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• 1997

The miscellaneous variables observed by OGLE Project of searching for dark matter in our Galaxy have been analyzed to find their characteristics. We investigated evolutionary status, shape of light curve, relationship between orbital period and amplitude of light variation for the miscellaneous variables. The miscellaneous variables except ellipsoidal variables are subgiants or giants. The shapes of the light curves are similar to those of nearby RS CVn type stars. The amplitudes of the light variations decrease rapidly as increasing their orbital periods for the variables whose periods are shorter than 30 days, while the amplitudes decrease slowly for the variables whose periods are longer that 30 days. Thus the OGLE miscellaneous variables are classified as the RS CVn type stars.

• International Journal of Aeronautical and Space Sciences
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• v.5 no.2
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• pp.1-8
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• 2004

Real-Time Kinematic GPS positioning is widely used for many applications.Resolving ambiguities is the key to precise positioning. Integer ambiguity resolution isthe process of resolving the unknown cycle ambiguities of double difference carrierphase data as integers. Two important issues of resolving are efficiency andreliability. In the conventional search techniques, we generally used chi-squarerandom variables for decision variables. Mathematically, a chi-square random variableis the sum of mutually independent, squared zero-mean unit-variance normal(Gaussian) random variables. With this base knowledge, we can separate decisionvariables to several normal random variables. We showed it with related equationsand conceptual diagrams. With this separation, we can improve the computationalefficiency of the process without losing the needed performance. If we averageseparated normal random variables sequentially, averaged values are also normalrandom variables. So we can use them as decision variables, which prevent from asudden increase of some decision variable. With the method using averaged decisionvalues, we can get the solution more quicklv and more reliably.To verify the performance of our proposed algorithm, we conducted simulations.We used some visual diagrams that are useful for intuitional approach. We analyzedthe performance of the proposed algorithm and compared it to the conventionalmethods.

• Health Policy and Management
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• v.11 no.1
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• pp.62-86
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• 2001

This study purports to Investigate the determinant of job satisfaction and the organizational commitment of medical insurance review nurses working at Korean hospitals. The independent variables contain three groups of determinants: organizational characteristics variables(job autonomy, work unit control, role variety, role ambiguity, role conflict, workload, resource inadequacy, coworker support, supervisor support, distributive justice, promotional chances, job security, and job hazard), environmental variables(job opportunity, spouse support, and parent support), and psychological variables (met expectation, work involvement, positive affectivity, and negative affectivity). The sample used in this study consisted of 445 medical insurance review nurses from 89 hospitals nationwide. Data were collected with self-administered questionnaires and analyzed using multiple regression analysis. The results of the study are as follows : 1) the following variables, listed in order of size, have significant effects on job satisfaction : role ambiguity(－), distributive justice(＋), work involvement(＋), role variety(＋), met expectation(＋), negative affectivity(－), job autonomy(＋), and positive affectivity(＋). 2) the following variables, listed in order of size, have significant effects on organizational commitment: met expectation(＋), work involvement(.＋), distributive justice(＋), job security(＋), role variety(＋), positive affectivity(＋), negative affectivity(－), resource inadequacy(＋), and tenure(－). 3) the variance of job satisfaction and organizational commitment explained by the variables used in the study are 30.0% and 39.1% respectively. 4) In comparison to the results of other studies on the determinants of job satisfaction and organizational commitment of clinical nursing staff working at hospitals, the results of this study indicate that three variables of distributive justice, work involvement, and role variety are especially important for improving the level of job satisfaction and organizational commitment of medical insurance review nurses.

• Korean Journal of Human Ecology
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• v.17 no.5
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• pp.861-872
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• 2008

The purpose of this study was to investigate the father related variables on children's self-esteem and school adjustment. Father related variables were father's child-rearing involvement, fathers parenting behavior and father-child communication style. The subjects were 236 - 5th and 6th graders of elementary schools in Daegu. The major finding were as follows: First, children's self-esteem was affected by father's child-rearing involvement, fathers parenting behavior and father-child communication style. Second, father's parenting behavior has great effect on children's self-esteem than any other variables. Third, children's school adjustment was affected by father's child-rearing involvement, fathers parenting behavior and father-child communication style. Fourth, father-child communication style has great effect on teacher adjustment than any other variables. father's parenting behavior has great effect on pee. adjustment than any other variables. father-child communication style has great effect on school education adjustment than any other variables. Father's child-rearing involvement has great effect on school rule adjustment than any other variables.

• Korean Journal of Psychosomatic Medicine
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• v.5 no.1
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• pp.63-72
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• 1997

For the purpose of examining the relationship between perceived stress, vulnerability variables, and somatization tendency, the self-report questionnaires of perceived stress, styles of stress coping(passive and active copings), self-perception, gender, and somatization tendency were administered to university entrants(n=2,024). The results were as follows: 1) Perceived stress, styles of stress coping(passive and active copings), self-perception, and gender accounted for 15.56% of the total variance in somatization tendency. As a result of comparing the relative contributions of all predictor variables to somatization tendency, the highest was perceived stress, and the next in order were passive coping style, self-perception, and gender, whereas direct effect of active coping style was not significant. 2) The two-way and three-way interaction effects of perceived stress X vulnerability variables were not significant. 3) The two-way and three-way interaction effects of gender X psychosocial variables were not significant. To conclude, perceived stress and vulnerability variables independently contribute to somatization tendency in university entrants, and furthermore it is suggested that vulnerability variables as well as perceived stress must be considered to account for somatization tendency.

• Journal of the Ergonomics Society of Korea
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• v.19 no.3
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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.