农业农村社会经济数据:资源与方法

Survey Solution电子问卷调查系统应用与展望

展开
  • 1.北京大学现代农学院,北京 100091
    2.中国农业大学经济管理学院,北京 100083
崔艺,E-mail: cuiyi@pku.edu.cn

收稿日期: 2023-09-30

  录用日期: 2023-10-30

  网络出版日期: 2024-01-05

基金资助

国家自然科学基金面上项目“我国农村学生营养认知,食物多样性及健康研究”(71973136);国家自然科学基金国际合作与交流项目“全球背景下优化中国农业补贴促进农业食物系统转型”(72061147002)

Applications and Prospects of Electronic Questionnaire Survey System: Survey Solution

Expand
  • 1. School of Advanced Agricultural Sciences, Peking University, Beijing 100091, China
    2. College of Economics and Management, China Agricultural University, Beijing 100083, China

Received date: 2023-09-30

  Accepted date: 2023-10-30

  Online published: 2024-01-05

摘要

在数据急剧增长的信息时代,网络技术的快速发展给传统问卷调查带来新挑战。电子问卷调查系统崭露头角,其被广泛应用到多个领域。本文以世界银行开发的Survey Solution电子问卷调查系统为例,全面介绍Survey Solution电子问卷调查系统特点,系统组件和功能,数据质量控制和核查方法,探讨Survey Solution系统的应用价值和使用建议。Survey Solution系统具有获取各种数据、严格调查数据质量、支持多种调查模式、安全且灵活的特点。Survey Solution系统主要组件包含总部系统(Headquarter)、问卷设计器(Designer)、调查软件(Interviewer)、主管(Supervisor),不同组件间协同工作,分别负责和实现不同的任务和功能,为数据收集和调查提供全面的支持。Survey Solution系统具有高质量数据收集、多样性的数据收集方式、实时数据监控和管理以及定制化数据处理和报告等应用价值。在使用Survey Solution系统时,要详细规划调查任务、培训调查员和主管、定期备份数据、使用数据分析工具以及及时解决问题,利用好Survey Solution提供一系列资源,最大程度地提高调查效率和数据质量。

本文引用格式

崔艺, 张颖, 赵启然 . Survey Solution电子问卷调查系统应用与展望[J]. 农业大数据学报, 2023 , 5(4) : 81 -85 . DOI: 10.19788/j.issn.2096-6369.230410

Abstract

In the information age of rapidly growing data, the fast-paced development of internet technology presents new challenges to traditional survey methods. Electronic survey systems have emerged as a prominent solution, widely applied across various domains. This paper takes the Survey Solution electronic survey system developed by the World Bank as an example to comprehensively introduce its characteristics, system components and features, data quality control and verification methods, while exploring the system's application value and usage recommendations. The Survey Solution system is characterized by its ability to acquire various types of data, maintain rigorous control over survey data quality, support multiple survey modes, and provide security and flexibility. The core components of the Survey Solution system consist of the Headquarter, Designer, Interviewer, and Supervisor, each responsible for distinct tasks and functionalities, working together to provide comprehensive support for data collection and surveys. The Survey Solution system offers valuable features such as high-quality data collection, diverse data collection methods, real-time data monitoring and management, as well as customized data processing and reporting. When using the Survey Solution system, it is essential to meticulously plan survey tasks, provide training for surveyors and supervisors, regularly back up data, employ data analysis tools, and promptly address any issues. By effectively utilizing the resources offered by the Survey Solution, users can maximize survey efficiency and data quality.

参考文献

[1] 杨俊, 李小明, 黄守军. 大数据、技术进步与经济增长——大数据作为生产要素的一个内生增长理论[J]. 经济研究, 2022, 57(4): 103-119.
[2] 国家图书馆研究院. 中国互联网络信息中心发布第52次《中国互联网络发展状况统计报告》[J]. 国家图书馆学刊, 2023, 32(5):13.
[3] 万聪. 网络问卷调查系统分析与设计[D]. 北京: 北京交通大学, 2014.
[4] 赵保兵. 网络调查系统的设计与实现[D]. 长春: 吉林大学, 2014.
[5] 陈永泰. 基于数据挖掘的网络调查系统研究[D]. 镇江: 江苏大学, 2008.
[6] 金玲. 电子商务智能网络调查系统研究与设计[D]. 北京: 北京邮电大学, 2011.
[7] 常军强. 基于本体的教育问卷调查系统研究[D]. 郑州: 河南大学, 2015.
[8] 孟剑平, 王小明. 基于Internet/Intranet实施教育问卷调查[J]. 远程教育杂志, 2004(1):50-51+49-60.
文章导航

/