• 제목/요약/키워드: Confidence

검색결과 8,437건 처리시간 0.041초

소비자 자신감과 패션연출 자신감이 중고패션제품에 대한 태도와 구매의도에 미치는 영향 (Influence of Consumer Self-confidence and Self-confidence in Fashion Coordination on Attitude toward Secondhand Fashion Goods and Purchase Intention of Secondhand Fashion Goods)

  • 박현희;추태귀
    • 한국의류산업학회지
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    • 제14권4호
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    • pp.544-553
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    • 2012
  • This study examined the influence of consumer self-confidence and self-confidence in fashion coordination on the attitude toward secondhand fashion goods and the purchase intention of secondhand fashion goods. Questionnaire data from 346 university students were analyzed and the results were summarized as follows. First, there were five factor solutions in consumer self-confidence: information acquisition, personal outcomes decision making, social outcomes decision making, consideration-set information, persuasion knowledge. Second, information acquisition, social outcomes decision making, and consideration-set information had significant effects on self-confidence in fashion coordination, while personal outcomes decision making and persuasion knowledge had no effect on self-confidence in fashion coordination. Third, self-confidence in fashion coordination had a significant effect on attitude toward secondhand fashion goods however, it had no effect on purchase intention of secondhand fashion goods. Fourth, attitude toward secondhand fashion goods had a significant effect on the purchase intention of secondhand fashion goods. The results show diverse implications for marketers and managers of secondhand fashion goods.

Analysis of Factors Affecting Dental Hygiene Students' Attitudes toward Patient Safety and Performing Confidence

  • Chung, Kyung-Yi
    • 치위생과학회지
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    • 제18권5호
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    • pp.288-295
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    • 2018
  • The purpose of this study was to investigate the attitudes and performing confidence, and factors influencing patient safety of dental hygiene students. The questionnaire contained items on the subjects' general characteristics, attitudes, and performing confidence in relation to patient safety. The self-reported questionnaire was administered to 287 dental hygiene students in Gwangju and Jeonnam, Korea from September to November 2017. We performed an independent t-test, one-way ANOVA analysis, Pearson's correlation coefficient, and multiple regression analysis using IBM SPSS ver. 21.0 software. As a result of differences in attitude, and performing confidence according to the general characteristics, attitude toward patient safety scored 3.48 out of 5 points, and was more positive in students from 4-year colleges, with high major satisfaction, and in students who answered that they needed patient safety education. Performing confidence for patient safety scored 3.57 out of 5 points, and was statistically significantly higher in 4-year college students, with higher major satisfaction, amongst those with experience in patient safety education, and when patient safety education was needed before clinical practice or employment. There were positive correlations between attitude and performing confidence for patient safety. As a result of analyzing the factors influencing attitude and performing confidence for patient safety, attitudes were higher with higher performing confidence and performing confidence had the highest satisfaction rate of the major and patient safety education experience. Therefore, it is necessary to provide systematic education at universities reflecting the characteristics of dental medical institutions, as well as developing various education contents and education methods.

농가맛집에서 사용하는 로컬 푸드에 대한 신뢰가 소비자 구매행동에 미치는 영향 (Influence of Confidence on Local Foods on Consumer's Purchase Behaviors from Tasty Farm Eateries)

  • 김수인
    • 동아시아식생활학회지
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    • 제24권6호
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    • pp.906-914
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    • 2014
  • This study conducted an exploratory factor analysis to examine how consumers' confidence on the local foods used at tasty farm eateries influence their purchase behaviors. The four factors of perception of local foods used at tasty farm eateries and the factors of consumer confidence and purchase behaviors were extracted for a reliability analysis, correlation analysis of variables, and simple and multiple regression analysis. The following are the findings: first, among the four factors of perception of local foods used at tasty farm eateries, safety, sociality and product value had statistically significant influences on consumer confidence, whereas regional economic value did not. In other words, safety referring to the nutritional value and sanitary safety of food ingredients used for the native foods at the tasty farm eateries, product value referring to the characteristics differentiated from general Korean cuisine, and sociality referring to the various related experiences for the interests in farm culture and local food, leads to consumer confidence, whereas regional economic value referring to farm household income, local job creation, and development of farm tourism does not. Second, consumer confidence had a statistically significant positive impact on consumers' purchase behaviors. Among the five principles of local foods, reliability is the most important factor. When consumers gain confidence on local food items and are satisfied with them, they make additional purchases and revisits. Therefore, confidence is a very important aspect for the loyalty and sustainability of business.

Double Bootstrap Confidence Cones for Sphericla Data based on Prepivoting

  • Shin, Yang-Kyu
    • Journal of the Korean Statistical Society
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    • 제24권1호
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    • pp.183-195
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    • 1995
  • For a distribution on the unit sphere, the set of eigenvectors of the second moment matrix is a conventional measure of orientation. Asymptotic confidence cones for eigenvector under the parametric assumptions for the underlying distributions and nonparametric confidence cones for eigenvector based on bootstrapping were proposed. In this paper, to reduce the level error of confidence cones for eigenvector, double bootstrap confidence cones based on prepivoting are considered, and the consistency of this method is discussed. We compare the perfomances of double bootstrap method with the others by Monte Carlo simulations.

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중첩오차를 갖는 중회귀모형에서 분산의 신뢰구간 (Confidence intervals on variance components in multiple regression model with one-fold nested error strucutre)

  • 박동준
    • 한국경영과학회:학술대회논문집
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    • 대한산업공학회/한국경영과학회 1996년도 춘계공동학술대회논문집; 공군사관학교, 청주; 26-27 Apr. 1996
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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.

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A Comparison of Some Approximate Confidence Intervals for he Poisson Parameter

  • Kim, Daehak;Jeong, Hyeong-Chul
    • Communications for Statistical Applications and Methods
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    • 제7권3호
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    • pp.899-911
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    • 2000
  • In this paper, we reviewed thirteen methods for finding confidence intervals for he mean of poisson distribution. Bootstrap confidence intervals are also introduced. Two bootstrap confidence intervals are compared with the other existing eleven confidence intervals by using Monte Carlo simulation with respect to the average coverage probability of Woodroofe and Jhun (1989).

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Accuracy of linear approximation for fitted values in nonlinear regression

  • Kahng, Myung-Wook
    • Journal of the Korean Data and Information Science Society
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    • 제24권1호
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    • pp.179-187
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    • 2013
  • Bates and Watts (1981) have discussed the problems of reparameterizing nonlinear models in obtaining accurate linear approximation confidence regions for the parameters. A similar problem exists with computing confidence curves for fitted values or predictions. The statistical behavior of fitted values does not depend on the parameterization. Thus, as long as the intrinsic curvature is small, standard Wald intervals for fitted values are likely to be sufficient. Accuracy of linear approximation for fitted values is investigated using confidence curves.

Interval Estimations for Reliablility in Stress-Strength Model by Bootstrap Method

  • Lee, In-Suk;Cho, Jang-Sik
    • Journal of the Korean Data and Information Science Society
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    • 제6권1호
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    • pp.73-83
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    • 1995
  • We construct the approximate bootstrap confidence intervals for reliability (R) when the distributions of strength and stress are both normal. Also we propose percentile, bias correct (BC), bias correct acceleration (BCa), and percentile-t intervals for R. We compare with the accuracy of the proposed bootstrap confidence intervals and classical confidence interval based on asymptotic normal distribution through Monte Carlo simulation. Results indicate that the confidence intervals by bootstrap method work better than classical confidence interval. In particular, confidence intervals by BC and BCa method work well for small sample and/or large value of true reliability.

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Confidence Intervals on Variance Components in Two Stage Regression Model

  • Park, Dong-Joon
    • Communications for Statistical Applications and Methods
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    • 제3권2호
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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.

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EDF 기대손실에 기초한 공정능력지수의 붓스트랩 신뢰구간 (Bootstrap Confidence Intervals of the Process Capability Index Based on the EDF Expected Loss)

  • 임태진;송현석
    • 품질경영학회지
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    • 제31권4호
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    • pp.164-175
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    • 2003
  • This paper investigates bootstrap confidence intervals of the process capability index(PCI) based on the expected loss derived from the empirical distribution function(EDF). The PCI based on the expected loss is too complex to derive its confidence interval analytically, so the bootstrap method is a good alternative. We propose three types of the bootstrap confidence interval; the standard bootstrap(SB), the percentile bootstrap(PB), and the acceleration biased­corrected percentile bootstrap(ABC). We also perform a comprehensive simulation study under various process distributions, in order to compare the accuracy of the coverage probability of the bootstrap confidence intervals. In most cases, the coverage probabilities of the bootstrap confidence intervals from the EDF PCI turned out to be more accurate than those from the PCI based on the normal distribution. It is expected that the bootstrap confidence intervals from the EDF PCI can be utilized in real processes where the true distribution family may not be known.