• The Korean Journal of Applied Statistics
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• v.33 no.1
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• pp.47-59
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• 2020

In this paper, we present the longitudinal Markov binary regression model with t-link function when its transition order is known or unknown. It is assumed that logit or probit models are considered in binary regression models. Here, t-link function can be used for more flexibility instead of the probit model since the t distribution approaches to normal distribution as the degree of freedom goes to infinity. A Markov regression model is considered because of the longitudinal data of each individual data set. We propose Bayesian method to determine the transition order of Markov regression model. In particular, we use the deviance information criterion (DIC) (Spiegelhalter et al., 2002) of possible models in order to determine the transition order of the Markov binary regression model if the transition order is known; however, we compute and compare their posterior probabilities if unknown. In order to overcome the complicated Bayesian computation, our proposed model is reconstructed by the ideas of Albert and Chib (1993), Kuo and Mallick (1998), and Erkanli et al. (2001). Our proposed method is applied to the simulated data and real data examined by Sommer et al. (1984). Markov chain Monte Carlo methods to determine the optimal model are used assuming that the transition order of the Markov regression model are known or unknown. Gelman and Rubin's method (1992) is also employed to check the convergence of the Metropolis Hastings algorithm.

• The Journal of Society for e-Business Studies
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• v.15 no.2
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• pp.55-75
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• 2010

The primary purposes of this study are to find a proper model for government's selections of Mainbiz and present what are the better weights of the current indexes. We prepared three sets of models：first one using original 10 variables; second one using 9principally composed variables; third one using 7 principally composed variables. Among 3 models, the last one had higher explanation power than the other two models. Therefore, if index weights are adjusted according to the third newly developed model, the credibility in evaluating and selecting Mainbiz will be improved. When transforming the index weights and running the analysis, 5 variables(organization process, marketing management, management process, production-facility states, the level of forecasting) have more direct influences than other 4 variables(innovation strategies, knowledge management, achieving level, operational level) on selecting Main-biz.

• Journal of the Korean Geographical Society
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• v.37 no.5
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• pp.498-510
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• 2002

This study has the following two focuses to analyze the changes in national-level locational pattern of the U.S. professional sports franchises during 1950-2001. The first is to empirically clarify spatial orientation in the changing locational pattern of sports franchises. The second is to identify compared characteristics of the relocation cases reflecting the orientation to other cases, for the variables indicative of franchises' and leagues' pursuits of their relocation-related interests ultimately affecting franchises' relocations, by employing a legit model. As a result of the analyses, sports franchises and leagues, respectively have shown spatial orientation toward relocating to and toward locating new franchises in southern and western areas, responding to the changes in U.S. urbanization pattern. And, relocation cases reflecting the orientation have displayed a feature of the higher annual population growth rate in destination urban area than in origin area, in comparison to other cases.

• Journal of the HCI Society of Korea
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• v.11 no.1
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• pp.11-19
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• 2016

This study aimed to assess the economic value of the UX design and applied contingent valuation method (CVM) to the three smartphone screen unlock interface types: touch, fingerprint, and iris recognition. The contingent valuation method was chosen from various economic valuation approaches because the interface components such as the screen unlock are important user experience values but non-market goods which are not traded independently. Using the double-bounded dichotomous choice approach of the contingent valuation method, the survey results of the logit model showed that the economic value of touch unlock interface was 529 won, fingerprint was 4,214 won, and iris recognition was 1,316 won. That is, the fingerprint interface had the highest economic value, followed by iris recognition and touch interface. The main contribution of this research is that we examined a method for economic valuation of the UX design and generated systematic and credible results.

• Environmental and Resource Economics Review
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• v.16 no.3
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• pp.701-721
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• 2007

A key issue in the development and application of stated preference nonmarket valuation is the incorporation of unobserved heterogeneity in utility models. Two approaches to this task have dominated. The first is to include individual-specific characteristics into the estimated indirect utility functions. These characteristics are usually socioeconomic or demographic variables. The second employs generalized models such as random parameter logit or probit models to allow model parameters to vary across individuals. This paper examines a third approach: the inclusion of psychological or 'latent' variables such as general attitudes and behaviour-specific attitudes to account for heterogeneity in models of stated preferences. Attitudinal indicators are used as explanatory variables and as segmentation criteria in a choice modelling application. Results show that both the model significance and parameter estimates are influenced by the inclusion of the latent variables, and that attitudinal variables are significant factors for WTP estimates.

• The Journal of Korean society of community based occupational therapy
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• v.1 no.2
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• pp.1-9
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• 2011

Objective : Study purpose is to inspect not only the utility of Evaluation of Social Interaction(ESI) but also the efficiency of occupational therapy measurement in program based local community of solitary senior citizen in G region. Methods : Six solitary senior citizen in G region were participating in a community-based program were a convenience sample for this study. The Occupational Therapy Intervention Process Model (OTIPM) provided the theoretical framework. The ESI provided a pre-test performance measure and also served as a guide for an five-week occupational therapy intervention program, and as a post-test to measure intervention effectiveness. Results : This study showed that the ESI was effective in guiding therapist Intervention related to social skill performance of participants during their participation in a community-based program. As a group, the difference between pre and post ESI logit measures was also significant(t=-7.362, p=0.001). Conclusion : The study provides initial considerations for the utility of the ESI to guide intervention related to social skill performance during daily occupations in Korea. It further documents the effectiveness of the ESI in measuring occupational therapy intervention, based on OTIPM, and supports occupational therapy services provided in a community based program context for those solitary senior citizen.

• Journal of the Korean association of regional geographers
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• v.22 no.3
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• pp.553-565
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• 2016

Population aging has been an increasing social issue and the elderly health has become one of the most urgent public attentions in Korea. The aims of this paper are to compare the subjective health status according to the personal characteristics, social networks, and daily leisure activities of the urban-rural elderly, and to analyze the influencing factors of their subjective health status. Using 2011 elderly survey data, ordered logit Model was established to extract influencing factors of the elderly health status. The results show that socioeconomic and demographic characteristics of individual as well as frequent social contacts and daily activities within neighborhood environments influence the level of health status of the elderly. The most significant factors affecting the elderly health are personal economic conditions such as the education achievement level and household income. The elderly who visit an elderly welfare center in Seoul has almost 1.82 times higher odds of increasing health status level than not to visit an elderly welfare center. This study may give some important policy implications of the elderly health promotion strategy in urban-rural communities.

• Journal of Korean Society of Transportation
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• v.18 no.5
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• pp.69-82
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• 2000

When new subway lines are considered to construct in a large city, there is a need to establish the appropriate transfer systems between subway and other transit modes, so as to increase the use of subway system. In this study, a multi-nominal logit model is developed to analyze the travel characteristics and the mode choice of subway Passengers transferring to and from the buses, minibuses and taxi. These passengers represent a large Portion of transit Passengers in Pusan city It shows that the explanatory variables that affect Passengers\` mode choice are in order of OVIT(Out-of-Vehicle Travel Time), IVTT(In-Vehicle Travel Time), transit fare,. income, gender, and age in modeling. In particular, OVTT is shown to have more significant impact on the mode choice than IYTT due to the fact that transfer trip is involved only in a short distance. Variables associated with the travel costs, however, do have an insignificant impact on the mode choice. It shows that it would be a better Policy to improve the quality of transit service using additional financial resource by increasing transit fare rather than by reducing the fare to increase travel demand. It also shows that value of travel time of OVTT is remarkably higher than that of IVTT and value of travel time of taxi Passengers is much higher than that of minibus Passengers .

• Survey Research
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• v.4 no.2
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• pp.63-86
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• 2003

The objective of this study was to investigate the existence of starting point bias in the bidding game contingent valuation elicitation technique when determining willingness to pay (WTP) for improving the qualify of running water in Seoul and its vicinity. Of all existing contingent techniques, the bidding game most closely mimics the normal price taking behavior in local markets. Three different starting points (low, medium and high) were used to determine WTP and the existence of starting point bias in the meanwhile respectively. The respondents were randomly assigned to the three different starting point groups in order to ensure homogeneity, so that any variation seen in WTP could be attributed to the starting point effects. And a pretested interviewer-administered questionnaire used to elicit WTP. Non-parametric test and the logit model were used to analyze the data for evidence of starting point bias. In this instance, the high starting point group had a high WTP, and low starting point group had a low WTP. This means there exist starting point bias in estimating WTP by bidding game in this instance. This finding might signal that people may actually be making up their minds on the maximum amount they are willing to pay for running water service as a bidding iterating is going on and is influenced by the starting point used in the bidding game. The problem of slaking point bias can be avoided if the respondent is asked directly for the maximum WTP without payment cards or a bidding game. But such a question is perceived as being very difficult to answer and this leads to problems of non-response and being unrealistic.

• Information Systems Review
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• v.25 no.3
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• pp.59-81
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• 2023

Elderly suicide problem has become worse in South Korea. With a rapid aging of the population, the trend of suicide among the elderly is expected to accelerate, preventing elderly suicide has been considered an important societal problem. Thus, we aim to investigate various factors that explain suicidal ideation and to develop a predictive model for suicidal ideation in the context of elderly people in South Korea. To this end, this study contributes to addressing the elderly suicide problem. By using seven-year panel data from the Korea Welfare Panel Survey, we extract various potential causal factors for elderly suicidal ideation based on interpersonal theory of suicide and social disorganization theory. Then a panel logit model was employed to assess the impacts of potential factors on suicidal ideation and deep learning and machine learning algorithms were used to develop a predictive model for suicidal ideation of elderly people. The results of our study provide practical implications for preventing elderly suicide by identifying causal factors of suicidal ideation and a high suicidal risk group of the elderly. This study sheds light on synergy of mixed methodology and provides various academic implications.