The Journal of The Korea Institute of Intelligent Transport Systems
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v.14
no.5
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pp.13-22
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2015
These days, human behavior (human factor), the main cause of traffic accidents, has drawn more attention. Research on driving behavior based on DBQ(Driver Behavior Questionnaire), the analysis tool of driving behavior, has been conducted actively. In domestic previous studies, their analysis subjects were limited to researchers or military officials, and their analysis methods were based on factor analysis and regression analysis. Therefore, this study tries to find the factors of general drivers' driving behavior that influence risk driving, and to analyze their influential relationship. Regarding study scope, general drivers with driving career were asked to answer DBQ questionnaire, and 300 effective samples were analyzed. In addition, previous studies were investigated to draw the three measurable attributes of DBQ-'Lapse, Mistake, and Violation'-as main factors of traffic accidents, and structural equation model was applied to design risk driving behavior model. To identify the difference between risk driving groups, this study made use of multiple group analysis. The analysis came to the following results: First, according to the examination of the hypothesis that 'Lapse, Mistake, and Violation factors will influence risk driving behavior', all factors were found to be statistically significant. Regarding their level of influence on risk driving behavior, Violation was 0.464, Lapse 0.383, and Mistake 0.158, and thus Violation was analyzed to be the most influential. Secondly, according to the examination of the hypothesis that 'the influence of Lapse, Mistake, and Violation factors on risk driving behavior will be different by risk group', the influence of Lapse on risk driving behavior was found to be different by risk group. It is expected that the study results will be used as a fundamental program to introduce traffic accident prevention program and education that takes violation and lapse into consideration.
The objective of this study is to closely examine the relationship between intrinsic extrinsic job satisfaction and organizational citizenship behavior and closely examine a moderation effect that job characteristic variable has, focusing on workers in private security guard industry. In order to attain the above-mentioned objectives, a purposive sampling method was used as sampling method. Data on 207 people were used for analysis. A frequency analysis, correlation analysis, reliability analysis, structural equation model analysis, multiple group analysis of the collected data was made by utilizing SPSS 21.0 and AMOS 22.0. The results of study can be summarized as follows. First, it was shown that intrinsic satisfaction, sub-factor of intrinsic extrinsic job satisfaction, had a positive (+) effect on altruism. Second, it was shown that intrinsic satisfaction had a positive (+) effect on conscientiousness. Third, it was shown that intrinsic satisfaction had a positive (+) effect on participation. Fourth, it was shown that extrinsic satisfaction didn't have significant effect on altruism. Fifth, it was shown that extrinsic satisfaction didn't have significant effect on conscientiousness. Sixth, it was shown that extrinsic satisfaction didn't have significant effect on participation. Seventh, it was shown that skill variety had a moderation effect on the relationship which intrinsic satisfaction had with altruism and participation. Eighth, it was shown that task identify had a moderation effect on the relationship which intrinsic satisfaction had with altruism and participation. Ninth, it was shown that task significance had a moderation effect on the relationship which intrinsic satisfaction had with altruism, conscientiousness and participation.
This study aimed to examine the predictors of mental health confidence(MHC) among individuals in psychiatric long-term care facilities(PLCF). It further examined whether the predictors and underlying mechanisms differed by the length of hospitalization. Sample consisted of 1,742 individuals residing in PLCF who participated in the Survey on PLCF. Structural equational modeling was used to examine the predictors of MHC. Multi-group Structural Equation Modeling(SEM) was used to examine whether the predictors and mechanisms differed by the length of hospitalization between those of 10 years or less (n=962) and 10 years and more (n=780). Major findings were as follows. (1) Education, duration of mental illness, and psychiatric symptoms were significantly related to MHC. (2) Duration of mental illness presented significant indirect effects on MHC via its effects on perceived stigma. (3) The predictors and underlying mechanisms differed by the length of hospitalization. Based on the findings, implications and limitations of the research were discussed.
The present study empirically confirmed knowledge of ageing and quality of contact were predictors affecting middle-aged Korean's ageism against the elderly and verified mediating role of intergroup anxiety between not only knowledge of ageing but also quality of contact and ageism. To investigate causalities of factors, we purposively collected 400 samples from 20 Dongs evenly located in Jeonju and 393 samples, survived the data cleaning such as missing values, outliers, normality and covariance conditions, were analyzed by frequency, factor analysis, reliability, confirmatory factor analysis and structural model analysis. Followed were the selected contributions of the present study. First, the knowledge of ageing and quality of contact were predictors of ageism mediated by intergroup anxiety. Second, the knowledge of ageing and quality of contact did not directly affect middle-aged Korean's ageism against the elderly. Third, intergroup anxiety had strong effect on ageism. The contributions suggested increasing knowledge of ageing and providing contact experience to middle-aged Korean as combating strategy against ageism.
This tutorial introduces procedures and methods for performing structural equation modeling using R. To do this, we present advanced analysis methods based on structural equation model such as mediation effect analysis, moderation effect analysis, moderated mediation effect analysis, and multiple-group analysis with R program code using R lavaan package that supports structural equation modeling. R is flexible and scalable, unlike traditional commercial statistical packages. Therefore, new analytical techniques are likely to be implemented ahead of any other statistical package. From this point of view, R will be a very appropriate choice for applying new analytical techniques or advanced techniques that researchers need. Considering that various studies in the social sciences are applying structural equations modeling techniques and increasing interest in open source R, this tutorial is expected to be useful for researchers who are looking for alternatives to existing commercial statistical packages.
Journal of the Korea Academia-Industrial cooperation Society
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v.21
no.6
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pp.349-357
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2020
This study aimed to examine the effects of self-rated health on life satisfaction among Korean babyboomers and to address the mediating effect of depression on the self-rated health-life satisfaction relationship. Further, this study attempted to identify any relationship between self-rated health, depression, and life satisfaction among babyboomers according to work status. Researchers conducted a secondary data analysis using the 6th wave of the Korean Longitudinal Study on Aging. The final sample was 2,479 babyboomers born between 1955 and 1963. Testing the mediating effect of depression was done by the significance of direct, indirect, and total effects. Researchers also compared an unconstrained model with constrained model for multiple group analysis. Results indicate that self-rated health was a significant factor in determining the life satisfaction of babyboomers. In addition, depression had a significant mediating effect on the self-rated health and life satisfaction of babyboomers. Multiple group analysis demonstrated, in the non-working babyboomer model, the effects of self-rated health and depression on life satisfaction, and the effect of depression on life satisfaction was stronger than that of the working babyboomer model. The results of this study have established the importance of health and working status in addressing depression and life satisfaction among babyboomers.
Journal of The Korean Association For Science Education
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v.36
no.1
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pp.75-86
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2016
The purpose of the present study is to develop and validate an instrument to assess STEM career motivation. We developed 32 items for 7 constructs (i.e. education experience, career value, academic self-efficacy, career self-efficacy, career interest, parents' support, and career motivation) on STEM career motivation based on Social Cognitive Career Theory (SCCT; Lent et al.,1994). 767 first year high school students participated in this study. The items were validated by Messick's framework (1995). In this study, we examined the validity of items in four aspects (i.e. content, substantive, structural and generalizability of validity). Methodologically, we used Rasch analysis, Exploratory factor analysis, confirmative factor analysis based on structural equation modelling. We confirmed that our instrument with 32 items as valid and reliable for measuring the STEM career motivation. In addition, we tested the STEM career motivation model based on SCCT. Our model explained the data well, suggesting that external factors (education experience and parents' support) and cognitive factors (perception of value, self-efficacy and interest) were significantly related to STEM career motivation.
This study aims to investigate how perceived interactivity between the mobile messenger application and its user gives rise to user's enjoyment and continuous usage intention. Perceived interactivity was assumed to be formed by the combination of control, share, and responsiveness in light of the previous studies. The relations between perceived interactivity, enjoyment, and usage intention are hypothesized on the basis of the pleasure-arousal-dominance emotional state model, the theory of reasoned action, and the theory of planned behavior. Survey data were collected from 481 mobile messenger users in Korea and China. In order to test hypotheses, structural equation modeling analyses were conducted. As a result, perceived interactivity concerning connectedness and responsiveness not only positively affected enjoyment, but also had a significant effect on usage intention. However, while control positively influenced usage intention, it was not significantly related to enjoyment. In addition, there was a positive relation between enjoyment and usage intention. Incidentally, multi-group analysis was conducted to explore the differences between Korean and Chinese users. The findings would provide managerial implications for mobile messenger corporations on causal effects of perceived interactivity and the differences of the path coefficients between in Korea and China.
As COVID-19 has led to a surge in e-commerce Buy Now Pay Later(BNPL) has become preferred choice among millennials. In Korea Coupang followed by Naver Pay offers a deferred payment, aiming to create customer lock-in effect, save credit card processing fee and lay the groundwork for entering into new financial services. However the literature related to the influential factors of customers' usage intention toward a deferred payment is scarce. For the study, a multi-group analysis was carried out to find differences between Naver shopping and Coupang. The results revealed that the important factors that affect a deferred payment adoption were compatibility, impulsive buying tendency in Naver shopping, whereas compatibility, relative advantage, additional value in Coupang(listed in order of most important). In addition, impulsive buying tendency had a positive effect on adoption intention in Naver shopping and on perceived risk in Coupang. The results imply that Naver shopping need to focus on managing delinquency while Coupang should provide sufficient information on how late fees and credit rating downgrade work and try not to make a deferred payment option stand out. In order to increase adoption rate it is recommendable to narrow down target segment of a deferred payment and expand it to a specialized vertical such as travel.
This study aimed to analyze the trajectories of cognitive function and functional disability, and to identify the impacts of socio-demographic factors on the two variables. Based on the assumption that there are differences according to the progress of cognitive impairment, it focused on examining the differences in trajectories of cognitive function and functional disability between two groups: dementia conversion group and dementia non-conversion group among cognitively normal older adults. This study was conducted based on the data from a 3-wave panel study of a sample of 966 Yeoncheon elderly cohort aged 65 and over between 1997 and 2003. Latent growth curve model and multi-group structural equation modeling were used to examine the hypothesis. Results revealed that dementia conversion group exhibited faster rate of cognitive decline as well as lower initial cognitive level. Difference between two groups was not significant in the initial level of functional disability, yet dementia conversion group showed greater degree of deterioration in the functional disability over time than dementia non-conversion group did. In terms of the influence of socio-demographic factors on cognitive function and functional disability, the cognitive decline was more drastic in the female group, whereas functional decline was more apparent for the male group. The level of education in early life had a strong impact on the cognitive function in later life. Based on these findings, practical implication for high risk groups in cognitive function and functional disability were discussed.
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