Data quality comparison between computers and smartphones in different web survey modes and question formats

Author:

Ha LouisaORCID,Zhang Chenjie,Jiang Weiwei

Abstract

PurposeLow response rates in web surveys and the use of different devices in entering web survey responses are the two main challenges to response quality of web surveys. The purpose of this study is to compare the effects of using interviewers to recruit participants in computer-assisted self-administered interviews (CASI) vs computer-assisted personal interviews (CAPI) and smartphones vs computers on participation rate and web survey response quality.Design/methodology/approachTwo field experiments using two similar media use studies on US college students were conducted to compare response quality in different survey modes and response devices.FindingsResponse quality of computer entry was better than smartphone entry in both studies for open-ended and closed-ended question formats. Device effect was only significant on overall completion rate when interviewers were present.Practical implicationsSurvey researchers are given guidance how to conduct online surveys using different devices and choice of question format to maximize survey response quality. The benefits and limitations of using an interviewer to recruit participants and smartphones as web survey response devices are discussed.Social implicationsIt shows how computer-assisted self-interviews and smartphones can improve response quality and participation for underprivileged groups.Originality/valueThis is the first study to compare response quality in different question formats between CASI, e-mailed delivered online surveys and CAPI. It demonstrates the importance of human factor in creating sense of obligation to improve response quality.

Publisher

Emerald

Subject

Economics and Econometrics,Sociology and Political Science,Communication

Reference40 articles.

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3