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91.
This article examines concepts of the trustworthiness, or credibility, of qualitative research. Following a "researcher-as-instrument," or self-reflective, statement, the paradigmatic underpinnings of various criteria for judging the quality of qualitative research are explored, setting the stage for a discussion of more transcendent standards (those not associated with specific paradigms) for conducting quality research: social validity, subjectivity and reflexivity, adequacy of data, and adequacy of interpretation. Finally, current guidelines for writing and publishing qualitative research are reviewed, and strategies for conducting and writing qualitative research reports are suggested. (PsycINFO Database Record (c) 2010 APA, all rights reserved) 相似文献
92.
在工程实践中,验前信息往往具有多源性的特点.如何把各类先验信息融合成为现场试验的验前信息就成为一个不可回避的问题.本文针对指数寿命型产品,在考虑其失效率的验前信息可信度时,给出其失效率的Bayes估计方法.通过具体实例说明考虑验前信息可信度时Bayes估计有明显改善. 相似文献
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Ss' attitudes toward biological warfare and position on the Taylor Manifest Anxiety Scale were assessed. 4 experimental groups then read an article on biological warfare. The articles differed in the source attributed to the article and in the explicitness of the conclusion regarding the effectiveness of biological warfare. Opinion change was greater for Ss in "explicit" groups, for Ss with high anxiety, and for Ss with high residual concern. No relationship was found between opinion change and expressed knowledge of communicator's position or credibility of source. 22 references. (PsycINFO Database Record (c) 2010 APA, all rights reserved) 相似文献
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为解决某高速设备试验中流场性能实时分析的问题,对该设备的数据采集与分析技术展开研究。阐述某
高速试验设备数据特点和性能分析的需求,对采集的数据进行可信度校验;针对其各核心系统模块中不平衡样本数
据,基于Bagging 集成学习对各个核心系统进行建模分析,实现对该设备的流场性能分析。实际应用结果表明:该
方法能完成对核心系统的流场性能分析,提高对该设备的智能管控水平。 相似文献
97.
An approach to characterize the credibility of beliefs of an agent is proposed in this paper, which can define the uncertainty of beliefs, calculation rules and inference rules about credibility and a method for belief revision based on abductive reasoning is also given. When an agent receives some new information, if the new information is consistent with the current belief set, then incorporate this new information with an appropriate credibility, otherwise the choice will be different depending on the characters of agents, and the deliberated agents will choose the belief with a better explanation under the current belief set. Removing one belief may cause the removal of those beliefs that, together with others, logically entail the formula to be removed. A method based on abduction is proposed to solve these problems. 相似文献
98.
ABSTRACTWith the rapid e-commerce growth and changes in consumers’ behaviors, many businesses are forced to adapt their business model to match their target customers’ needs. To provide consumers with more product details and increase their confidence in making online purchases, online businesses offer an online review as an alternative to physically interacting with a product. Although consumers have become familiar with the use of online product reviews, many aspects of user behavior toward the usage of online reviews are still not well understood. This study explores the factors underlying the acceptance of consumers’ online review usage when considering purchasing an item. The study results provide insight into the factors that affect customers’ use of online reviews prior to a purchase. This study furthers the body of knowledge that deals with online reviews and system usage, providing results that allow e-commerce businesses to adapt their business model to better fit consumers’ expectations. 相似文献
99.
随着互联网和社交媒体的快速发展,我国的经济活动对网络依赖性逐步增强,涉及到资金和财产的网络活动加剧,对用户身份进行认证的需求变得更加迫切。因此,提出了一种将层次分析法(Analytic Hierarchy Process)和灰色关联分析(Grey Relation Analysis)结合使用的用户身份可信评价方法(Analytic Hierarchy Process-Grey Relation Analysis,AHP-GRA),以现有的权威身份认证提供商提供的身份信息为原始输入,个体用户后续输入的身份属性信息通过属性聚类及相似度计算进行评分,使用层次分析法和灰色关联分析将各条属性可信评价进行多层次关联决策分析,并得到用户身份的可信评价。 相似文献
100.
以K-means为代表的聚类算法被广泛地应用在许多领域, 但是K-means不能直接处理不完整数据集. km-means是一种处理不完整数据集的聚类算法, 通过调整局部距离计算方式, 减少不完整数据对聚类过程的影响. 然而km-means初始化阶段选取的聚类中心存在较大的不可靠性, 容易陷入局部最优解. 针对此问题, 本文引入可信度, 提出了结合可信度的km-means聚类算法, 通过可信度调整距离计算, 增大初始化过程中选取聚类中心的可靠性, 提高聚类算法的准确度. 最后, 通过UCI和UCR数据集验证算法的有效性. 相似文献