• Journal of Nutrition and Health
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• v.38 no.9
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• pp.756-764
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• 2005

The purpose of this study was to explore the variables affecting the quality of hospital dietary services. The quality of hospital dietary services was investigated in two ways, which can be named by factual quality and perceived quality The variables affecting hospital dietary services were classified into two categories, $\ulcorner$organizational environment variables$\lrcorner$ and $\ulcorner$work behavior variables$\lrcorner$. Quality readiness survey was conducted to investigate $\ulcorner$organizational environment variables$\lrcorner$ and $\ulcorner$work behavior variables$\lrcorner$ on 225 dietitians working in dietary departments of 45 general hospitals which had more than 400 beds. $\ulcorner$Organizational environment variables$\lrcorner$ were categorized into four variable group:'organizational work design', 'organizational culture', 'department head leadership' and 'top management leadership'. $\ulcorner$Work behavior variables$\lrcorner$ were categorized into three variable group: 'individual behavior', 'peer group behavior', and 'behavior toward supervisor'. Top management leadership (p< 0.01)' in the $\ulcorner$organizational environment variables$\lrcorner$ had significant impacts on the factual quality of hospital dietary services.

• Journal of the Korean Home Economics Association
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• v.41 no.12
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• pp.147-168
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• 2003

The researcher worked with 1001 middle and high school students so as to inquire into family-related variables affecting adolescents' school life maladjustment, relying on average, standard deviation and hierarchical regression. The following are the major findings. 1) The research shows that to look into school life maladjustment on the basis of analysis models including family environment variables and family relationship variables in addition to family background variables offers more explanatory power. 2) Of all the variables, parent relationship variables turned out to have the greatest influences on maladjustment to teacher relationship and teaming activity areas among the subordinate areas of school life maladjustment. 3) Of all the variables, family's physical variables have the greatest influence on maladjustment to regulation-keeping relationship and opposite sex relationship among the subordinate areas of school life maladjustment. 4) Of all the variables, sibling relationship variables have the greatest influence on maladjustment to friendship among the subordinate areas of school life maladjustment. 5) Parent relationship variables have the greatest influence on total school life maladjustment followed by family physical environment, structural environment, the number of family members, cultural environment and residential variables in the right order.

• Korean Journal of Child Studies
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• v.8 no.2
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• pp.17-44
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• 1987

The study examined the characteristics of the relationship of home environment variables and children's social development. Two studies were conducted ; Study I examined (1) the correlation of home environment variables and children's social ability and (2) the predictability of home environment variables for children's social ability by children's age. Study II investigated the causal relationship among the variables which are supposed to affect children's social ability. The subjects of this study were 240 children at age four, six and eight attending nursery schools, kindergartens and elementary schools and their mothers. Instruments included the Inventory of Home Stimulation (HOME), the Inventory of Sociodemographic Variables, social maturation scale, and the social-emotional developmental rating scale. The results obtained from this study were as follows : 1) Home environment variables had a positive correlation with children's social development at age four and six, but at age eight, only HOME variables had a significant positive correlation with children's social development. 2) The home environmental variables that significantly predicted children's social development differed according to children's age. That is, play materials, economic status of the home, and parent education were predictive of children's social development at age four, while parent's education, fostering maturity and independence, and play materials were predictive at age six. Fostering maturity and independence, aspects of physical environment, and economic status of the home were predictive at age eight. 3) The causal model of home environment effect on children's social development was formulated by exogenous variables (parent education and economic status of the home) and endogenous variables (direct stimulation, indirect stimulation and the emotional climate of the home). 4) The results of the analysis of the causal model showed that the variables that have a direct effect on children's social development differed according to children's age. That is, direct stimulation had more effect on children's social development at earlier ages, and indirect stimulation had more effect on children's social development at later ages. Among socio-demographic variables, parent's education was most closely related to children's social development. The amount of variance that explained children's social development decreased with increase in children's age.

• Journal of the Korean Home Economics Association
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• v.44 no.4 s.218
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• pp.11-21
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• 2006

The purpose of this study was to identify the ecological variables related with children's emotional intelligence, examine their recognition of all the variables affecting their emotional intelligence and classify the variables into the categories of children (gender, grade, self-efficacy), home environment (employed mother or unemployed mother, communication between parents and child, type of family composition, number of siblings), and peer group environment (peer group). The study subjects were 680 elementary school students. Data were analyzed via t-test, F-test, correlation, and multiple regression. The results of this study were as follows. First, emotional intelligence showed significant difference and relationship among the children variables, home environment variables, and peer group environment variable. (Ed- also note the absence of 'fourth' above) Second, emotional intelligence in children was relatively reviewed by the above three variables and the most affecting variable was self-efficacy in children.

• Journal of Family Resource Management and Policy Review
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• v.14 no.4
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• pp.39-56
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• 2010

The purpose of this research was to analyze the relationship between environment-friendly housing behaviors and the influential variables among consumers by focusing on housing life. This research carried out a questionnaire survey with housewives living in Seoul and the Metropolitan area using a questionnaire that was composed based on previous research. The housewives' environment-friendly housing attitudes and their resource-saving knowledge level, along with environmental education-related variables, house ownership, and the housewives' employment appeared to be significant variables in explaining the generic environment-friendly housing behaviors found in this research. Three regression equations, classified into purchasing, utilization, and disposal behaviors, were employed. The empirical results were relatively similar to those for the generic environment-friendly housing behaviors; however, each model provided somewhat different results in some specific aspects. All the environmental education-related variables appeared to be significant in explaining environment-friendly housing utilization behaviors, and were similar to the results obtained from the generic environment-friendly housing behaviors. However, the variables were limited in explaining environment-friendly housing-related disposal behaviors. The convenience, recycling ease, and family-structure variables appeared to be significant influences on environment-friendly housing-related disposal behaviors. Most empirical results of this research were consistent with those of previous studies. However, the explanatory independent variables varied, depending on the types of each domain of environment-friendly housing behaviors studied.

• Korean Journal of Child Studies
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• v.8 no.1
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• pp.83-112
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• 1987

This study examined the characteristics of the relationship of home environment variables and children's intellectual ability. Two studies were conducted: Study I examined the predictability of home environment variables for children's intellectual ability by children's age and the correlations between environment variables and children's intellectual ability. Study II investigated causal relationships among the variables which are supposed to affect children's intellectual ability. The subjects of this study were 240 children at age four, six and eight attending nursery schools, kindergartens and elementary schools and their mothers. Instruments included the Inventory of Home Stimulation (HOME), inventory of sociodemographic variables, and the K-Binet scale. The results obtained from this study were as follows: 1) Home environment variables had a significant positive correlation (.36 ~ .78) with children's intellectual ability. 2) The home environmental variables that significantly predicted children's intellectual ability differed according to children's age. That is, play materials, breadth of experience, and quality of language environment were predictive of children's intellectual ability at age four, while parent's education, developmental stimulation, and play materials were predictive at age six. Economic status of the home, need gratification, avoidance of restriction, and emotional climate were predictive at age eight. 3) The causal model of home environment affecting children's intellectual ability was formulated by exogenous variables (parent education and economic status of the home) and by endogenous variables (direct stimulation, indirect stimulation and the emotional climate of the home). 4) The results of the analysis of the causal model showed that the kind of variables that affected children's intellectual ability directly differed according to children's age. That is, direct stimulation and parent's education affected children's intellectual ability directly at age four and six, while the economic status of the home and indirect stimulation affected intellectual ability directly at age eight. The amount of variance that explained children's intellectual ability increased with increase in children's age.

• Journal of the Korean housing association
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• v.23 no.5
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• pp.75-86
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• 2012

The primary purpose of this study is to prove the relationship between housing environment and mental health with depression and self-esteem in the republic of Korea. The raw data of 10,608 respondents, was gathered from the 4th wave of Korea Welfare Panel Study (KoWePS) in 2009. Some variables related to housing environment and mental health were selected in KoWePS' data. Data was analyzed by SPSS 19.0 and AMOS 17.0. The major results are as follow: 1) Householder economic variables significantly relate to housing environment and resident mental health. 2) Housing environment variables are significantly related to resident mental health, and these variables explain 4.3% of depression and 6.7% of self-esteem. 3) Throughout path analysis of economic, housing environment, and mental health variables, housing environment variable is a parameter. In conclusion, these results show that better quality of housing environment would contribute to the residents' better mental health.

• Journal of the Korean housing association
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• v.10 no.1
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• pp.85-95
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• 1999

The purpose of this study was to analyze the motives of residential mobility and variables which effect it through surveying questionaires of 240 housewives who lived in a tenement house. The analytical methods adopted in this study were factor analysis, one-way ANOVA, Duncan's multiple range test, multiple regression analysis. The SPSS+ program was used in analysis. The major findings were as follows: First, the motives were composed of 6 factors ; housing improvement, housing policy, accumulation of property, comfortable residential environment, educational environment, traffic convenience. Second, there were a significant differences in residential mobility according to socio-demographic and housing variables. Third, in analysis of variables which effect residential mobility, a housing improvement influenced by socio-demographic variables, an comfortable residential environment influenced by housing variables and also family life cycle was a variable that effect factors such as housing policy, accumulation of property, educational environment and traffic convenience.

• Korean Journal of Human Ecology
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• v.8 no.1
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• pp.15-27
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• 1999

This study investigated characteristics of H.T.P test responses according to home environment variables. The subjects were 183 children in the fifth grade at an elementary school in Taejon. SAS was utilized in order to analyze data using x2 technique. The result of the study were as follows. The more home environment stimuli the children were provided by parents, the more stable in emotion they were. Especially four out of six home environment variables were found significant in helping children become emotionally stable, confident, well-adjusted, and high in achievement. These four variables were language stimulus, social maturity educational resources, and housing environment. It is concluded that children used to be provided with good home environment including language stimulus, social maturity, educational resource, housing environment, and plenty of family activities in order to become emotionally stable, confident, high in achievement, and adjustment.

• Korean Journal of Occupational Health Nursing
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• v.24 no.2
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• pp.114-121
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• 2015

Purpose: The purpose of this study was to assess the psychosocial work environment of hospital nurses to identify influences of psychosocial work environment on stress, depression, sleep disorder, and burnout. Methods: A total of 219 nurses working in one hospital were surveyed by using the Korean version of the Copenhagen Psychosocial Questionnaire (COPSOQ-K) mental health and psychosocial work environment. The impact of the psychosocial work environment on mental health was analyzed using multiple regression. Results: Mental health variables are correlated with each other. The psychosocial work environment variables and mental health variables are mostly correlated. To assess the psychosocial work environment that affects mental health the most, multiple regression was used. Work-family conflict was the most powerful explanation of all the mental health variables. Work pace, social community at work, mutual trust among employees, predictability, and influence were found to be affecting some mental health variables. Conclusion: To improve the mental health of nurses, it is necessary to consider work pace, social community at work, mutual trust among employees, predictability, influence focus on work-family conflict.