摘要
归纳现有高校数字图书馆用户满意度评价指标,运用相关-主成分分析法对高校数字图书馆用户满意度原始评价指标进行筛选,降低高校数字图书馆用户满意度评价指标体系中同一准则层内各指标间信息重复度,使高校数字图书馆用户满意度评价指标体系中的每项指标均对评价结果具有显著影响。
This paper summarized the existing evaluation index of university digital library user satisfaction degree. It used the method of correlation principal component analysis to select the original evaluation index of the user satisfaction degree of university digital library, to reduce the information redundancy between the indicators in the evaluation index system of university digital library user satisfaction degree. To make each index of the evaluation index system of digital library user satisfaction degree has a significant impact on the evaluation results.
出处
《数字图书馆论坛》
CSSCI
2016年第7期57-62,共6页
Digital Library Forum
关键词
相关分析
主成分分析
高校数字图书馆
用户满意度
Correlation Analysis
Principal Component Analysis
University Digital Library
User Satisfaction
