Experiments in Mobile Web Survey Design
Similarities to Other Modes and Unique Considerations
Bibliographic Data
| ID | 12169751 |
|---|---|
| Authors | Andy Peytchev (0000-0002-6886-9867, RTI International, North Carolina,, corresponding author), Craig A Hill (0000-0002-8854-1324, RTI International, North Carolina) |
| Year | 2009 |
| Volume | 28 |
| Issue | 3 |
| Pages | 319-335 |
| Publication date | 2009-12-08 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Social Science Computer Review (JOURNAL) |
| Journal identifiers | ISSN: 0894-4393 • E-ISSN: 1552-8286 |
| Publisher | SAGE Publishing (PUBLISHER • US) |
| DOI | 10.1177/0894439309353037 |
| OpenAlex | W2052931809 |
| Language | EN |
| Citations received | 36 |
| References cited | 31 |
Self-administered surveys can be conducted on mobile web-capable devices, yet these devices have unique features that can affect response processes. Ninety-two adults were randomly selected and provided with mobile devices to complete weekly web surveys. Experiments were designed to address three main objectives. First, the authors test fundamental findings which have been found robust across other modes, but whose impact may be diminished in mobile web surveys (due largely to the device), by manipulating question order and scale frequencies. Second, the authors test findings from experiments in computer-administered web surveys, altering the presentation of images and the number of questions per page. Third, the authors experiment with the unique display, navigation, and input methods, through the need to scroll, the vertical versus horizontal orientation of scales, and the willingness to provide open-ended responses. Although most findings from other modes are upheld, the small screen and keyboard introduce undesirable differences in responses
Affect (linguistics · Human–computer interaction · Mobile device · Mobile technology · Mobile Web · Multimedia · Orientation (vector space · Presentation (obstetrics · Scroll · Test (biology · Web application · Web survey · World Wide Web · Communication · Computer Science · Engineering · Focus Groups and Qualitative Methods · Mathematics · Medicine · Mobile Crowdsensing and Crowdsourcing · Psychology · Survey Methodology and Nonresponse
A Review of Conceptual Approaches and Empirical Evidence on Probability and Nonprobability Sample Survey Research
Improving Response Rates and Questionnaire Design for Mobile Web Surveys
Automatic Coding Mechanisms for Open-Ended Questions in Journalism Surveys
Mobile vs. PC
Re-examination of the Possibilities and Challenges of Internet Surveys in the Social Sciences
Web Surveys by Smartphones and Tablets
Data Quality in PC and Mobile Web Surveys
The Use of PCs, Smartphones, and Tablets in a Probability-Based Panel Survey
Using a Mobile App When Surveying Highly Mobile Populations
Probing in online mixed-device surveys
The Effects of Personal Susceptibility and Social Support on Internet Addiction
Smartphone and tablet effects in contingent valuation web surveys – No reason to worry
The Effects of Grids on Web Surveys Completed with Mobile Devices
Data quality comparison between computers and smartphones in different web survey modes and question formats
Do online access panels need to adapt surveys for mobile devices
Automatic Classification of Open-Ended Questions
Web Versus Mobile Web
Comparing Survey Results Obtained via Mobile Devices and Computers
Mode Effects in Free-list Elicitation
Mobile and Dirty
Smartphone Display Size Influences Attitudes Toward Information Consumed on Small Devices
What Happens if You Offer a Mobile Option to Your Web Panel? Evidence From a Probability-Based Panel of Internet Users
Remember, You Can Complete This Survey Online! Web Survey Links and QR Codes in a Mixed-Mode Web and Mail General Population Survey
Mobile Response in Web Panels
Alternative Layouts for Grid Questions in PC and Mobile Web Surveys
Using Paradata to Predict and Correct for Panel Attrition
Comparison of Smartphone and Online Computer Survey Administration
Explaining Interview Duration in Web Surveys
Do Distractions During Web Survey Completion Affect Data Quality? Findings From a Laboratory Experiment
Design Heuristics for Effective Smartphone Questionnaires
Effective Sampling From Social Media Sites and Search Engines for Web Surveys
Displaying Videos in Web Surveys
Not to Be Considered Harmful
Web Surveys by Smartphone and Tablets
Questionnaire Design in Short Message Service (SMS) Surveys
Making Mobile Browser Surveys Smarter
Communication and Persuasion
Logic and Conversation
Mail and Internet Surveys
Usability Evaluation of Computer-Assisted Survey Instruments
Designing a Strategy for Reducing “No Opinion” Responses in Web-Based Surveys
Instrument Effects of Images in Web Surveys
What They See Is What We Get
Research on Interviewing Techniques
Cell Phone Survey Feasibility in The U.S
Response Scales
Context and Contiguity in Survey Questionnaires
Asking Sensitive Questions
Spacing, Position, and Order
Picture This
Visual Context Effects in Web Surveys
Subsequent Questions May Influence Answers to Preceding Questions in Mail Surveys
Web Survey Design
American Association for Public Opinion Research
Web Survey Design and Administration
The Norm of Even-Handedness in Surveys as in Life
| Unique citing works | 36 |
|---|---|
| Citations per year | 2,57 |
| Citation span | 2012 - 2024 (13) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 36 |