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机构地区:[1]清华大学社会科学学院,北京100084 [2]华南理工大学新闻与传播学院,广东广州510006
出 处:《统计与信息论坛》2017年第7期36-43,共8页Journal of Statistics and Information
基 金:国家社会科学基金重大项目<大数据时代计算社会科学的产生;现状与发展前景研究>(16ZDA085);国家社会科学基金项目<大数据驱动下的政府治理能力建设研究>(16ZDA059)
摘 要:当前各行业对信息可视化的需求不断增加,但在未受过可视化专业训练人群中的作图焦虑现象较为普遍。作图者倾向于逃避作图,或对作图软件感到畏惧,而对开发作图焦虑量表进行定量评估则有助于调整教学方式,优化作图软件用户体验。利用探索性因子分析、基于稳健估计结构方程模型和线性回归模型进行分析,结果显示:作图焦虑具有易错性、软件操作、合义性和美观性的四重结构;作图焦虑与电脑效能感、审美效能感等因素之间存在关联。Demand from all professions and trades on information visualization has been ever- increasing. However, graphics anxiety haunts many of those without information visualization training who either tend to escape plotting or get afraid of graphics software. Thus, a measurement is needed to quantify the degree of graphics anxiety, optimize teaching methods and enhance user experience of graphics software. Exploratory factor analysis, confirmatory factor analysis based on robust estimation and linear regression are used. The models reveal graphics anxiety's four dimensions: fallibility, software operation, meaningfulness and aesthetics. Significant relationships are found between graphics anxiety on one side and computer self-efficacy or aesthetic self-efficacy on the other.
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