文献类型：会议论文

英文题名：An information flow based approach to finding informational relationships between questionnaires

作者：Xu, Kaibo[1]; Feng, Junkang[2]

第一作者：Xu, Kaibo

机构：[1] Business College, Beijing Union University, Beijing, China; [2] School of Computing, University of the West Scotland, United Kingdom

第一机构：北京联合大学商务学院

通讯机构：[1]Business College, Beijing Union University, Beijing, China|[1141721]北京联合大学商务学院;[11417]北京联合大学;

会议论文集：IET International Conference on Information Science and Control Engineering 2012, ICISCE 2012

会议日期：December 7, 2012 - December 9, 2012

会议地点：Shenzhen, China

语种：英文

外文关键词：Surveys

摘要：In the research area of questionnaire design, whether a questionnaire is a good design is still a hard question. In this paper, we shed some light on it by borrowing an idea of information integration, which makes use of the notion of information carrying relation. An information flow based approach is therefore proposed to tackle the problem of questionnaire design and find information carrying relations from the perspective of information flow. Based upon a derivation of information flow constraints, this approach looks at two or more questionnaires as conceptual constructs of two data schemata. It helps us find potential informational relationships between questionnaires and reduce redundancies in questionnaire design.