• Journal of the Korean Home Economics Association
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• v.33 no.2
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• pp.19-27
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• 1995

This paper discusses the bias that results from using nonrandomly selectd samples of consumer research. A two stage system (maximum likelihood probit analysis and ordinary least square analysis) is a solution to sample selection bias. Empirical results show that correcting for sample selection bias improves the validity of consumer research results.

• Journal of the Korean Home Economics Association
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• v.51 no.1
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• pp.75-87
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• 2013

The purpose of this study was to explore the relationship between the preschoolers' hostile attributional bias and the narrative representation profiles. Forty five 4-year-old preschoolers (24 boys, 21 girls) participated in this study. In order to measure the children's narrative responses, MacArthur Story Stem Battery (MSSB) was used, and "a cartoon-based social perception task" was used to obtain preschoolers' hostile attributional bias. The data were analyzed using descriptive statistics and cluster analysis. The results were as follows. First, the rate of hostile attributional style of the subjects was 28.89%. Second, four profiles regarding the narrative representations of 4-year olds were found including: Prosocial (33.3%), Constrained (42.2%), Anxious/Restricted (6.7%), and Dysregulated (17.8%). Third, the rate of preschoolers' hostile attributional style differed by the preschoolers' narrative representation profile. Children with a Prosocial profile showed a less hostile attributional style than children with an Anxious/Restricted profile and Dysregulated profile. In conclusion, preschoolers' hostile attributional bias is related to the narrative representation profile.

• Asia-Pacific Journal of Business
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• v.9 no.4
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• pp.85-97
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• 2018

This paper investigates factors underlying a decrease in trading values in KOSPI 200 futures/options market on the basis of the current state of the markets. Among the factors that could affect trading values in KOSPI 200 derivatives market, we focus on the market activity of underlying assets as it has an impact on the trading of financial derivatives. Trading value and volatility are designated as market activity and the empirical results confirm that the market activity of the underlying assets is significant in explaining the decrease in trading values in KOSPI 200 futures/options market. To figure out fundamental reasons of the decrease in trading values in this market, we examine mitigation of home bias and decrease in leverage incentives as they are presumed to have influence on KOSPI 200 index market. As the global and local financial environment is time-varying, the degree of home bias and the leverage demand also changes. It implies that institutional change and/or policy effort to promote the trading of KOSPI 200 financial derivatives should be made taking into account the fact that considerable portion of the change in trading values in financial derivatives market depends on the state of the market.

• Journal of the Korean Home Economics Association
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• v.39 no.2
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• pp.15-24
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• 2001

The purpose of this research was to investigate the factors affecting the labor supply of married women. Based on the theoretical review of the process for the labor supply of married women and the review of previous research, the emperical specification was deduced as a function of husband's income, assets, education and age, the number of children and home ownership. The data of this research was collected with questionnaire in 1998. The data consisted of the answers by 200 married women. For the measurement of the emperical specification, Logit, Tobit, and Selection Bias Corrected Regression which modifies selection bias were used. Although several different discussions can made depending on the measurement method, the emperical result of this research showed that the labor supply of married women is explained by husband's income, assets, the level of education and work experience.

• The Journal of Fisheries Business Administration
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• v.40 no.3
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• pp.147-167
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• 2009

The objective of this study is to analyze the determinants of at-home laver consumption expenditures using the data from a survey of households implemented in 2009. It happened that non-response ratios of monthly expenditures on dry laver and flavored laver among sampled households are 18.8% and 25.6%. Accordingly, this study tries to analyze the determinants affecting at-home laver consumption expenditures by using type II tobit model, one of sample selection models, to deal with sample selection bias caused from non-response data. Analysis results show the age variable positively affects expenditures on dry laver but negatively contributes to expenditures on flavored laver. In addition, the household size, the household's income, the degree of preference for laver have positive relationships with both expenditures. Household size elasticity and income elasticity of the expenditure on dry laver are estimated as 0.220 and 0.251. In the case of flavored laver, these elasticities are estimated as 0.484 and 0.261. Such analysis results can provide information on division of the at-home laver consumption market into groups with high willingness to expense and implementation of detailed marketing strategies to increase at-home laver consumption. The methodology of this study can be applied to consumer preference analysis on other marine products and other analyses on sample with non-response data in the fishery research.

• Journal of the Korean Home Economics Association
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• v.36 no.11
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• pp.209-218
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• 1998

The purpose of this study was to conduct the review of female labor suply, and thus, to provide useful theoretical and empirical frameworks for future studies related to female labor supply. Based on the theory of the allocation of time, the process of individual labor supply was systematically reviewed. Participation Probit/Logit, Tobit, and Selection B;ias Corrected Regression were considered in estimating the function of female labor supply which modifies the selection bias. Based on the previous empirical results, wage rate, asset income, husband's income, the level of eduction, and child-related variables such as the presence of child and the number of children might be considered for the empirical specification of female labor supply.

• Child Health Nursing Research
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• v.23 no.4
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• pp.479-493
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• 2017

Purpose: This study was done to conduct a meta-analysis of articles describing randomized controlled trials which showed substantiated effects for home-based child abuse prevention programs for all parents. Methods: The articles regarding child abuse prevention programs for parents were investigated using the systematic review method. A literature search was conducted in PubMed, CINAHL, PsycINFO, Cochrane central library, Eric, and RISS on material published. Article searches and quality appraisal through RoB (Risk of Bias) yielded 14 records. Results: The total random effect size was 0.344 (Parents outcome, 0.333; Child outcome, 0.310; Environment, 0.275). The home based intervention for parents was effective for prevention of potential child abuse. Conclusion: This study supports the effectiveness of health care professional directing child abuse prevention programs for all parents whose children are in the early years of life including during the period of pregnancy.

• Proceedings of the IEEK Conference
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• 2002.06a
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• pp.133-136
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• 2002

VoiceXML is designed for creating audio dialogs that feature synthesized speech, degitized audio, recognition of spoken and DTMF key input, recording of spoken input, telephony, and mixed-initiative conversations. Uses the VoiceXML and there is a Place objective which does information home appliance machinery and tools control. When it uses tile VoiceXML, il will be able to provide a bias characteristic to the user The XML base the gearing with different civil official system is possible. With studying YoiceXML and OSGi, this paper has designed and implemented the control architecture of Information home appliances.

• Journal of Korean Clinical Nursing Research
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• v.23 no.3
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• pp.376-387
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• 2017

Purpose: This study was to systematically review the contents and effects of nurse-led transitional care programs for discharged patients from hospital to home. Methods: Randomized controlled trials published between 2005 and 2015 were searched in Pubmed, Embase, Cochrane(Central Register of Controlled Trials) and CINAHL. Data were analyzed using Cochrane Review Manager(Revman) software 5.3. Results: Nine studies were selected and analyzed. Patient assessment, education and discharge planning were included in pre-discharge phase. Referring, communication and care planning were performed by nurses in transition phase. Home and phone visits, monitoring and multidisciplinary advices were included in post-discharge phase. Various outcome measures such as hospital utilization(30 days readmission and emergency department visit), quality of life, and cost were used to identify effectiveness of nurse-led transitional care programs. 30 days readmission(OR=.73, 95% CI 0.54, 0.98; p=.03) and emergency department visit(OR=.67, 95% CI 0.50, 0.88; p=.005) were statistically significant in meta-analysis. However, participant blinding was not done in seven studies which put at the risk of performance bias. Conclusion: The results indicated that nurse-led transitional care program is effective in reducing unnecessary hospital utilization. Nevertheless, small sample size and risk at performance bias are the limitation of this study. Thus, we suggest that well-designed randomized controlled trials need to be conducted.

• Human Ecology Research
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• v.57 no.2
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• pp.171-183
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• 2019

Convergence between technology and financial services is ubiquitous and widespread. Virtual banks represent an important aspect of financial markets that can generate value added for consumers and enhance the quality of financial services. This study explores the effect of innovation characteristics (relative advantage, compatibility, and perceived risk), consumer characteristics (status quo bias), and social mechanisms (network externality: complementarity, numbers of peers) on consumers' adoption intention and resistance to virtual banks. This study adopted an innovation resistance model with two dependent variables: adoption intention and resistance to virtual banks. An online self-administered survey was conducted and 532 or non-users of virtual banks aged 20 to 69 years old were analyzed. Frequency analysis, descriptive analysis, and hierarchical multiple regression indicated that status quo bias, relative advantage, perceived risk, complementarity, and number of peers insignificantly influence the adoption intention regarding virtual banks. Furthermore, status quo bias, relative advantage, perceived risk, and number of peers insignificantly influence the resistance to virtual banks. Female respondents have a lower adoption intention and higher resistance to virtual banks than male respondents. The findings suggest that the innovation resistance model can be useful in understanding consumers'adoption and resistance behavior as well as reveal that innovation characteristics, consumer characteristics, and social mechanism are important antecedent variables of the innovation adoption decision.