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计算机系统应用英文版:2020,29(7):123-130
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基于亲属关系网络的问卷调查系统
(中国社会科学院 民族学与人类学研究所, 北京 100035)
Questionnaire Survey System Based on Kinship Network
(Institute of Ethnology and Anthropology, Chinese Academy of Social Sciences, Beijing 100035, China)
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Received:December 26, 2019    Revised:January 22, 2020
中文摘要: 计算机辅助访谈(Computer-Assisted Interviewing, CAI)已广泛应用于社会调查研究. 较之一般的CAI系统, 基于亲属关系网络的问卷调查系统着重于解决复杂问卷设计、亲属关系网络构建和访谈数据分析处理等问题. 本系统采用XML描述并存储问卷及访谈数据, 提供了用于深度访谈的复杂问卷设计工具, 并支持问卷的国际化本地化以适应不同文化区域的研究; 提出了生成亲属关系网络图的迭代算法, 以支持基于亲属关系网络图的可视化访谈过程, 实现便捷、高效、可靠的访谈数据采集; 数据预处理功能将调查数据输出为统计分析软件可读的数据表, 便于后期量化分析. 本系统可应用于家庭人口结构分析以及面向亲友的各种交互行为调查研究, 目前已在国内外多个田野点运用, 满足了相关社会调查研究的需求.
Abstract:Computer-Assisted Interviewing (CAI) has been widely used in social survey research. Comparing with the general CAI system, this questionnaire survey system based on kinship network focuses on the design of the complex questionnaire, the construction of kinship network, and the analysis of the collected data. By using XML to express and store the complex questionnaire and answer data, this system provides researchers an efficient tool to design the complex questionnaire for in-depth interview and to localize the questionnaire into multiple languages so that it can be adapted to different cultural areas. An iterative algorithm is proposed for generating the diagram of kinship network. Based on this diagram, interviewers can efficiently and easily collect data with visualization interface of interviewing. The data analysis pre-processing generates the data matrices derived from the survey data in order that they can be easily imported into any statistical analysis software for further analysis. The proposed system can be employed in the research of family population structure analysis and social interaction between relatives and friends. Currently, this system has been utilized in several fieldwork sites in China and other countries and it satisfies the needs of social survey research.
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孔敬.基于亲属关系网络的问卷调查系统.计算机系统应用,2020,29(7):123-130
KONG Jing.Questionnaire Survey System Based on Kinship Network.COMPUTER SYSTEMS APPLICATIONS,2020,29(7):123-130