• Korean Journal of Child Studies
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• v.29 no.6
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• pp.245-257
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• 2008

Subjects in this study on causal relationships among playfulness, interactive peer play, teacher-child relationships, and creative characteristics were 286 3- to 5-year-old children. Instruments were the Rating Scale for Creative Characteristic of Preschoolers (Lee et al., 2002), Children's Playfulness Scale (Bemett, 1990), Penn Interactive Peer Play Scale (Fantuzzo et al., 1995), and Student Teacher Relationship Scale (Pianta, 1991). Results showed : (1) significant relationships among social spontaneous, cognitive spontaneous and children's humor in sub-areas of children's playfulness, friendliness in sub-areas of teacher-child relationships, play interaction in sub-areas of interactive peer play and creative characteristics. (2) Children's creative characteristics directly influenced social spontaneous, cognitive spontaneous and children's humor in sub-areas of children's playfulness and of play interaction in sub-areas of interactive peer play.

• Journal of the East Asian Society of Dietary Life
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• v.17 no.5
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• pp.653-660
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• 2007

The purpose of this study was to measure the causal relationships among such variables as moral concerns for animals, meat texture, meat color, satiety from meat, disgust with meat and pork consumption. A total of 250 questionnaires were completed. Structural equation models were used to measure the causal effects of the constructs. The study outcomes demonstrated that the structural analysis results of the data were an excellent model fit. The effects of moral concerns for animals, meat texture and satiety from meat on the disgust with meat were statistically significant. As expected, disgust with meat had a significant effect on pork consumption. Moreover, moral concerns for animals and satiety from meat had a significant indirect effect on pork consumption through disgust with meat. Also, satiety from meat alone had a significant indirect effect on pork consumption through disgust with meat. By developing and testing conceptual models that integrated the relationships among ideational variables, sensory affective variables, anticipated consequences variables, emotional variables, and behavioral variables, this study may approach a deeper understanding of the complex relationships among pork consumption-related variables. A greater understanding of these complex relationships can improve the managerial diagnosis of problems as well as opportunities for different marketing strategies, including pork production and pork product development, and marketing communications.

• Journal of the East Asian Society of Dietary Life
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• v.17 no.3
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• pp.304-311
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• 2007

The purpose of this study was to measure the causal relationships among fish consumption behavior, attitude towards fish eating, health involvement, perceived convenience, and age. A total of 235 questionnaires were completed. A structural equation model was used to measure the causal effects of the constructs. The results of the study demonstrated that the structural analysis results were an excellent model fit for the data. The influence of age on attitude towards fish eating, health involvement, and perceived convenience was statistically significant. As expected, attitude towards fish eating, health involvement, and perceived convenience had significant effects on fish consumption behavior. Moreover, age had a significant indirect effect on fish consumption behavior through health involvement. Age also had a significant indirect effect on fish consumption behavior through perceived convenience. By developing and testing conceptual models that integrate the relationships among age, psychological variables, and fish consumption behavior, this study may offer a deeper understanding of the complex relationships among the variables. A greater understanding of these complex relationships can improve the managerial diagnoses of problems and the opportunities for different marketing strategies, including product development and marketing communications.

• Journal of the Korean Institute of Landscape Architecture
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• v.18 no.3 s.39
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• pp.143-154
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• 1990

This study aims at identifying factors and variables which have significant effects on users satisfaction with recreational activities and facilities in Apsan city natural park and therby establishing indicies of planning and / or development of urban forest. To test the causal models of this research, The data were gathered by self-administered questionnaires from 1,147 households in Taegu city which were selected by the multi-stage probabiling sampling method. The analysis of the data primarily consist of two phases : The first analysis dealt with exploratory factor analysis which identified major factors involved in satisfaction with recreational activities and facilities in Apasn city natural park and the second analysis tested the fit of causal models of this research to the data using LISREL methodology. The factor analysis identified that three significant factors are involved in satisfaction with recreational activities and five significant factors are inherent in satisfaction with recreational facilities. The second phase analysis tested the fit of the causal models for satisfaction with recreational activities and facilities to the data and identified statistically significant causal linkage among overall satisfaction with the park, other indogenous factors and exogenous variables. These significant relationships represent important factors and variables that should be considered in planning and/of development of the city natural park. On the basis of there significant causal relationships implications for planning and/or development of the city natural park were suggested.

• Computers and Concrete
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• v.31 no.4
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• pp.277-292
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• 2023

Much of our experiments are designed to uncover the cause(s) and effect(s) behind a phenomenon (i.e., data generating mechanism) we happen to be interested in. Uncovering such relationships allows us to identify the true workings of a phenomenon and, most importantly, to realize and articulate a model to explore the phenomenon on hand and/or allow us to predict it accurately. Fundamentally, such models are likely to be derived via a causal approach (as opposed to an observational or empirical mean). In this approach, causal discovery is required to create a causal model, which can then be applied to infer the influence of interventions, and answer any hypothetical questions (i.e., in the form of What ifs? Etc.) that commonly used prediction- and statistical-based models may not be able to address. From this lens, this paper builds a case for causal discovery and causal inference and contrasts that against common machine learning approaches - all from a civil and structural engineering perspective. More specifically, this paper outlines the key principles of causality and the most commonly used algorithms and packages for causal discovery and causal inference. Finally, this paper also presents a series of examples and case studies of how causal concepts can be adopted for our domain.

• Journal of Korean Academy of Nursing
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• v.31 no.2
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• pp.232-243
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• 2001

When people undergo stressful situations such as a cancer diagnosis, they ask, "why me\ulcorner" The causal attributions people make about cancer influence what kind of coping strategies are chosen. Weiner (1979) suggested three dimensions of causal attributions: focus of causality, stability, and controllability. The purpose of the present study was to test the relation between causal attributions and self-efficacy in patients with cancer. The subjects were 194 patients who had been diagnosed cancer one year ago and attended an outpatient clinic. 1. Each mean score of causal attribution dimensions (focus of control, stability, controllability) that each patient made about cancer was 2.47, 2.73, 2.86, 3.35, and 3.28. The mean score of self-efficacy was 71.03. 2. There was a significant negative correlation between self efficacy and controllability. Particularly, there was a significant negative relationship between self efficacy and external controllability. Based upon these results, it is recommended that the developing nursing interventions to change causal attribution and self-efficacy is necessary. A number of theoretical relationships and empirical finding are confirmed by this data, and future proposals in research is suggested.

• Korean Journal of Child Studies
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• v.15 no.1
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• pp.71-90
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• 1994

This study investigated sex differences in children's self-efficacy and causal relationships between children's self-efficacy and home environment. The home environment factors included mother's efficacy, marital satisfaction, child rearing attitudes, and socio-economic status. The subjects were 491 fifth and sixth grade children and their mothers. The data were analyzed by t-test using the SAS $PC^+$ program and covariance structural analysis using the PC-LISREL VI. The results showed that there were no sex differences in children's global self-efficacy level, but there were sex differences in some subfactors. Furthermore, we found that the same causal model appears for both sexs in the relationship between home environment and children's self-efficacy. That is, socio-economic status of the home and mother's psychological factors influenced mother's attitudes for child rearing which had a direct impact on children's self-efficacy.

• Korean Journal of Human Ecology
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• v.17 no.1
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• pp.141-150
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• 2008

The purpose of this study was to assess the causal relationships among hedonic belief, ambivalence, subjective norm, attitude and meat consumption behavior. A total of 318 questionnaires were completed. Structural equation model was used to measure the causal effects of constructs. Results of the study demonstrated that fit of the restricted baseline model is significantly worse than that of the unrestricted proposed model, in which more parameters are estimated. The effects of hedonic belief, ambivalence and subjective norm on attitude were statistically significant. The effects of hedonic belief, subjective norm and attitude on meat consumption were statistically significant. The effect of attitude on intention was statistically significant. Moreover, attitude played a mediating role in the relationships between hedonic belief and meat consumption, between ambivalence and meat consumption, and between subjective norm and intention. This study suggested that the consumer decision-making process for eating meat products is best modeled as a complex system that incorporates both direct and indirect effects on meat consumption. This study believed the evidence presented supports this position. Moreover, this study appeared to be a worthy area of pursuit.

• Journal of Korean Academy of Nursing
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• v.52 no.4
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• pp.451-463
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• 2022

Purpose: This study examined the reciprocal relationships between depression and income, and gender differences in these relationships among older adults in South Korea. Methods: Using 2015 to 2019 of the Korea Welfare Panel Study (KoWePS), we studied 6,070 older adults (2,394 men and 3,676 women) aged 60 years over in 2015. The generalized estimating equation was employed to explore the effect of an individual income on depression and the reverse causal link-that of depression on income. Results: The study found the reciprocal relationships between income and depression. Income has a significant impact on depression. Higher-income was linked to decreased risks of the Center for Epidemiologic Studies Depression (CES-D) scores among older adults (B = - 0.121, p < 0.001). Estimates of the reverse causal link show that higher CES-D scores were also linked to income reduction among Korean older adults (B = - 0.007, p < 0.001). In addition, we also observed gender differences in the impact of income on depression but not in the reverse causal link. Income has more detrimental to psychological consequence for older men (B = - 0.108, p < 0.001) than older women (B = - 0.057, p < 0.001). Conclusion: The finding implies that both psychological and social protection policies for the elderly are needed in view of gender perspective.

• Journal of the Korean Society of Food Culture
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• v.22 no.5
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• pp.582-589
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• 2007

The purpose of this study was to measure the causal relationships among affective belief, environmental belief, subjective norm, attitude and meat consumption behavior. A total of 318 questionnaires were completed. Structural equation model was used to measure the causal relationships among the constructs. Results of the study demonstrated that the structural analysis result for the data also indicated excellent model fit. The effects of affective belief, environmental belief and subjective norm on attitude were statistically significant. The effects of affective belief, environmental belief and subjective norm on meat consumption were statistically significant. As expected, attitude had a significant effects on behavioral intention. Moreover, attitude played a mediating role in the relationship between affective belief and meat consumption, environmental belief and meat consumption, subjective norm and meat consumption. Consumption played a mediating role in the relationship between attitude and behavioral intention. In conclusion, based on structural analysis, a model was proposed of interrelations among affective belief, environmental belief, subjective norm, attitude, meat consumption and intention. It should be noted that the original model was modified and should, preferably, be validated in future research. Other variables may be incorporated to form models that consist of new antecedent and consequence pairs.