Suppr超能文献

使用即时通讯工具进行基于互联网的访谈。

Using instant messaging for Internet-based interviews.

作者信息

Stieger Stefan, Göritz Anja S

机构信息

Core Unit for Medical Education, Medical University of Vienna, Vienna, Austria.

出版信息

Cyberpsychol Behav. 2006 Oct;9(5):552-9. doi: 10.1089/cpb.2006.9.552.

Abstract

One method of data collection that has rarely been applied online is the one-on-one interview. Because of its widespread use, the Internet-based service instant messaging (IM) seems to be suitable to conduct scientific online interviews. A unique benefit of IM is the existence of public address books. These can be used both as a sampling frame and as a cross-reference to validate respondents' demographic data. The feasibility of IM interviews was examined in a WWW survey as well as in actual IM interviews that were combined with an experimental manipulation of the request for participation. On the basis of self-reports, respondent behavior, and data in the address books, the studies have demonstrated that the risk of receiving false data in IM interviews is small. Not only is the quality of the obtainable data satisfying but the contact rate, response rate, and retention rate as well. Moreover, the experimental test demonstrated that the response rate is influenced by the information provided in the chat request. On the basis of the study results, recommendations are given as to when and how IM interviews should be used as a data collection method.

摘要

一种很少在网上应用的数据收集方法是一对一访谈。基于互联网的服务即时通讯(IM)由于其广泛使用,似乎适合进行科学的在线访谈。IM的一个独特优势是存在公共通讯录。这些通讯录既可以用作抽样框架,也可以作为交叉参考来验证受访者的人口统计数据。在一项万维网调查以及与参与请求的实验性操作相结合的实际IM访谈中,对IM访谈的可行性进行了检验。基于自我报告、受访者行为和通讯录中的数据,研究表明在IM访谈中收到虚假数据的风险很小。不仅可获得的数据质量令人满意,而且联系率、回复率和留存率也是如此。此外,实验测试表明回复率受聊天请求中提供的信息影响。根据研究结果,给出了关于何时以及如何将IM访谈用作数据收集方法的建议。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验