• Communications for Statistical Applications and Methods
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• v.3 no.2
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• pp.29-36
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• 1996

In regression model with nested error structure interval estimations about variability on different stages are proposed. This article derives an approximate confidence interval on the variance in the first stage and an exact confidence interval on the variance in the second stage in two stage regression model. The approximate confidence interval is vased on Ting et al. (1990) method. Computer simulation is procided to show that the approximate confidence interval maintains the stated confidence coeffient.

• Korean Journal of Adult Nursing
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• v.16 no.3
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• pp.493-501
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• 2004

Purpose: The purpose of this study was 1) to classify the stage of adoption 2) to compare the decisional balance and confidence by stage of adoption 3) to identify factors influenced the stage of adoption for breast self exam. Method: A comparative study using a survey method with convenience sample of 143 women was used. Decisional balance and confidence was measured using the CHBMS-K. Stage of adoption for BSE was measured by a single item modified by the researchers based on the Rakowski et al (1992). Result: 1) The number of women in each stage of adoption for BSE was as follows; maintenance phase, 7.7% (n=11), action phase, 49.0% (n=70), contemplation phase, 35.0% (n=50) and pre- contemplation phase, 8.4%(n=12). 2) The mean difference in the decisional balance (F=4.32, p=.006) and confidence (F=13.85, p=.000) according to the stage of BSE adoption was statistically significant. 3) Prevention education and confidence accounted for 32% of variance in BSE. Conclusion: Assessment of decisional balance and stage of adoption for BSE can guide planning for cancer prevention education. We must educate women to have confidence in BSE. Further, it is important to urge women to continually practice BSE.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1996.04a
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• pp.495-498
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• 1996

Regression model with nested error structure interval estimations about variability on different stages are proposed. This article derives an approximate confidence interval on the variance in the first stage and an exact confidence interval on the variance in the second stage in two stage regression model. The approximate confidence interval is based on Ting et al. (1990) method. Computer simulation is provided to show that the approximate confidence interval maintains the stated confidence coefficient.

• MALSORI
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• no.51
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• pp.71-84
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• 2004

In this paper, we propose the automatic speech database verification method(or called automatic verification) based on confidence measure for a large speech database. This method verifies the consistency between given transcription and speech using the confidence measure. The automatic verification process consists of two stages : the word-level likelihood computation stage and multi-level likelihood ratio computation stage. In the word-level likelihood computation stage, we calculate the word-level likelihood using the viterbi decoding algorithm and make the segment information. In the multi-level likelihood ratio computation stage, we calculate the word-level and the phone-level likelihood ratio based on confidence measure with anti-phone model. By automatic verification, we have achieved about 61% error reduction. And also we can reduce the verification time from 1 month in manual to 1-2 days in automatic.

• MALSORI
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• no.63
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• pp.113-124
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• 2007

In this paper, we propose a use of confidence vector as an intermediate input feature for multi-stage based speech recognition architecture to improve recognition accuracy. A multi-stage speech recognition structure is introduced as a method to reduce the computational complexity of the decoding procedure and then accomplish faster speech recognition. Conventional multi-stage speech recognition is usually composed of three stages, acoustic search, lexical search, and acoustic re-scoring. In this paper, we focus on improving the accuracy of the lexical decoding by introducing a confidence vector as an input feature instead of phoneme which was used typically. We take experimental results on 220K Korean Point-of-Interest (POI) domain and the experimental results show that the proposed method contributes on improving accuracy.

• Journal of Fashion Business
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• v.22 no.2
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• pp.118-133
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• 2018

This study investigated the effect a fashion model's self-expression has on stage confidence, commitment, and satisfaction. The differences in stage confidence, commitment and satisfaction were analyzed by comparing the frequency of fashion show experiences. A survey was conducted using convenience sampling of professional male and female fashion models at fashion venues (Dongdaemoon Design Plaza) and model agencies from March 2, 2017 through April 10, 2017. A total of 248 questionnaires were obtained and SPSS 21.0 was used for data analysis. The results of this study are as follows. First, the analysis indicated a fashion model's self-expression factors, including movement, meaning, and individuality, had positively impacted the model's psychological and physical confidence, while acting ability negatively impacted such confidences. Secondly, movement meaning, expressive impulse, and individuality had positive impacts on behavioral commitment. A model's expressive impulse was also found to have a positive impact on cognitive commitment. In addition, acting ability negatively impacted behavioral commitment, while it affected cognitive commitment positively. Third, a high level of psychological and physical confidences about fashion shows, as well as a high level of behavioral and cognitive commitment, had a positive impact on fashion-show satisfaction. There were significant differences in cognitive commitment and fashion-show satisfaction by frequency of fashion show experiences. The findings can be utilized to understand the psychological factors that affect a fashion model's performance in order to increase the model's fashion-show satisfaction. It is also expected to provide useful information to enhance the quality of fashion shows.

• Journal of Veterinary Clinics
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• v.28 no.4
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• pp.422-426
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• 2011

For a national survey in which wide geographic region or an entire country is targeted, multi-stage sampling approach is widely used to overcome the problem of simple random sampling, to consider both herd- and animallevel factors associated with disease occurrence, and to adjust clustering effect of disease in the population in the calculation of sample size. The aim of this study was to establish sample size for estimating bovine tuberculosis (TB) in Korea using stratified two-stage sampling design. The sample size was determined by taking into account the possible clustering of TB-infected animals on individual herds to increase the reliability of survey results. In this study, the country was stratified into nine provinces (administrative unit) and herd, the primary sampling unit, was considered as a cluster. For all analyses, design effect of 2, between-cluster prevalence of 50% to yield maximum sample size, and mean herd size of 65 were assumed due to lack of information available. Using a two-stage sampling scheme, the number of cattle sampled per herd was 65 cattle, regardless of confidence level, prevalence, and mean herd size examined. Number of clusters to be sampled at a 95% level of confidence was estimated to be 296, 74, 33, 19, 12, and 9 for desired precision of 0.01, 0.02, 0.03, 0.04, 0.05, and 0.06, respectively. Therefore, the total sample size with a 95% confidence level was 172,872, 43,218, 19,224, 10,818, 6,930, and 4,806 for desired precision ranging from 0.01 to 0.06. The sample size was increased with desired precision and design effect. In a situation where the number of cattle sampled per herd is fixed ranging from 5 to 40 with a 5-head interval, total sample size with a 95% confidence level was estimated to be 6,480, 10,080, 13,770, 17,280, 20.925, 24,570, 28,350, and 31,680, respectively. The percent increase in total sample size resulting from the use of intra-cluster correlation coefficient of 0.3 was 22.2, 32.1, 36.3, 39.6, 41.9, 42.9, 42,2, and 44.3%, respectively in comparison to the use of coefficient of 0.2.

• The Journal of Industrial Distribution & Business
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• v.10 no.4
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• pp.57-66
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• 2019

Purpose - Present study aimed at investigating the factors that may affect consumers' decision confidence and decision comfort inducing choice commitment taken place at the stage of post-decision/pre-outcome. This study explored whether there are positive effects of dominance and instrumentality of chosen product on the decision confidence, and also identified whether there are positive effects of choice easiness and goal achievement-related affect felt at the chosen product on the decision comfort. Research design, data, and methodology - Portable digital camera as experimental product was used. 260 data were collected from college students. Four were removed from the analyses because they did not complete the questionnaire. Eighteen were removed because they indicated not experiencing the camera in the past. 238 data were used at the analyses to verify hypotheses by structural equation model in AMOS 21.0. Results - First, both of the consumers' decision confidence and decision comfort positively affected choice commitment. Second, the dominance as well as the instrumentality had positive impact upon the decision confidence. Third, the choice easiness and goal achievement-related affect felt at the chosen product had positive impact on the decision comfort. In sum, present study identified the mediation roles of the decision confidence in the effects of both dominance and instrumentality of the chosen product on forming choice commitment, and also found the mediation roles of the decision comfort in the effects of choice easiness and goal achievement-related affect felt at the product on forming choice commitment. Conclusions - Focusing on the stage of post-decision/pre-outcome in decision making process, present study contributes to advancing the choice commitment theories by exploring the positive effects of both dominance and instrumentality of chosen product on the decision confidence, and by finding the positive effects of both choice easiness and goal achievement-related affect felt at the chosen product on the decision comfort. Marketers should promote their products' dominance and instrumentality by showing the superior roles of their product attributes in achieving consumption goal, and should help consumers feel comfort by making choice process easier and giving information that could help feel the goal achievement-related affect at their product chosen.

• The Journal of Information Systems
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• v.20 no.3
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• pp.63-79
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• 2011

Deducting the risk level of infrastructure and buildings based on past human disaster risk cases and implementing prevention measures are important activities for disaster prevention. The object of this study is to measure the confidence to proceed quantitative analysis of various disaster risk cases through text mining methodology. Indeed, by examining confidence calculation process and method, this study suggests also a basic quantitative framework. The framework to measure the confidence is composed into four stages. First step describes correlation by categorizing basic elements based on human disaster ontology. Secondly, terms and cases of Term-Document Matrix will be created and the frequency of certain cases and terms will be quantified, the correlation value will be added to the missing values. In the third stage, association rules will be created according to the basic elements of human disaster risk cases. Lastly, the confidence value of disaster risk cases will be measured through association rules. This kind of confidence value will become a key element when deciding a risk level of a new disaster risk, followed up by preventive measures. Through collection of human disaster risk cases related to road infrastructure, this study will demonstrate a case where the four steps of the quantitative framework and process had been actually used for verification.

• The Journal of Information Systems
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• v.26 no.1
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• pp.75-91
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• 2017

Purpose Fintech has been recently drawing extensive attention all over the world as the innovative trend that will change the future of the global financial industry. However, fintech has been mostly focusing on the payment service in the embryonic stage in Korea. This paper will investigate the approach to increase the intention to use for those who do not use fintech at present. Design/methodology/approach This paper empirically analyzes the impact of innovation of users and the perceived ease-of-use and security on the intention to use through the perceived usefulness and confidence. The 255 survey responses were used to verify research hypotheses through covariate structural equation model. Findings According to the analysis results, it was found that innovation had a significant impact on the perceived usefulness, but had no significant impact on confidence. The perceived usefulness had a significant impact on perceived usefulness and confidence. Moreover, the perceived usefulness and confidence had a significant impact on the intention to use. Meanwhile, it was identified that the security perceived by those who do not use fintech had a negative impact on perceived usefulness, confidence, and intention to use related to fintech. Accordingly, fintech service providers need to determine an approach to help customers to have a positive perception on the security of fintech.