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Credibility evaluation of scientific information on websites: Designing and evaluating an exploratory model
Journal of Librarianship and Information Science ( IF 1.4 ) Pub Date : 2020-02-04 , DOI: 10.1177/0961000620903103
Hamid Keshavarz 1 , Mohammadreza Esmaeili Givi 2 , Yaghoub Norouzi 3
Affiliation  

The present study aimed to develop a literature-based and expert-modified model for credibility evaluation of scientific web information in order to be used for academic purposes by utilizing a mixed heuristic method. First, meta-synthesis was applied to design a conceptual model. In terms of its usability, the model was evaluated by a sample of student users in five top universities of Iran. The data were analyzed by SPSS 20.0 and LISREL 8.7 for Structural Equation Modelling. Based on the seven-stage meta-synthesis, a conceptual model, including 68 indicators, 14 components, and two main dimensions was identified. The model was confirmed by the sample experts by considering the high degree of Kendall’s coefficient of concordance and the agreement percentage of most dimensions of the model which were 0.67 and higher than 90%, respectively. Next, the results of confirmatory factor analysis were analyzed according to the structural model and indices related to the goodness of fit in order to ensure a high quality respecting measuring the identified variables. Based on data analysis, the variables were of high quality in the studied context although there were some differences among the dimensions. The results further revealed that credibility evaluation is a concept with different and multiple dimensions and components suitable for users, designers, and policymakers which should be considered in designing and evaluating web resources.

中文翻译:

网站科学信息可信度评价:探索性模型的设计与评价

本研究旨在开发一种基于文献和专家修改的科学网络信息可信度评估模型,以便利用混合启发式方法用于学术目的。首先,应用元综合来设计概念模型。在可用性方面,该模型由伊朗五所顶尖大学的学生用户样本进行评估。数据通过SPSS 20.0和LISREL 8.7进行结构方程建模分析。基于七阶段元综合,确定了一个概念模型,包括 68 个指标、14 个组成部分和两个主要维度。样本专家通过考虑Kendall一致性系数的高程度和模型大部分维度的一致性百分比分别为0.67和90%以上对模型进行了验证。下一个,根据结构模型和与拟合优度相关的指标对验证性因子分析的结果进行分析,以确保测量已识别变量的高质量。根据数据分析,尽管维度之间存在一些差异,但在研究背景下的变量质量较高。结果进一步表明,可信度评估是一个具有不同维度和组成部分的概念,适用于用户、设计者和决策者,在设计和评估网络资源时应予以考虑。尽管维度之间存在一些差异,但在所研究的背景下,这些变量的质量很高。结果进一步表明,可信度评估是一个具有不同维度和组成部分的概念,适用于用户、设计者和决策者,在设计和评估网络资源时应予以考虑。尽管维度之间存在一些差异,但在所研究的背景下,这些变量的质量很高。结果进一步表明,可信度评估是一个具有不同维度和组成部分的概念,适用于用户、设计者和决策者,在设计和评估网络资源时应予以考虑。
更新日期:2020-02-04
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