scholarly journals A Meta-Analysis of Breakoff Rates in Mobile Web Surveys

10.5334/bar.f ◽  
2015 ◽  
Keyword(s):  
Meta Analysis ◽  
Web Surveys ◽  
Mobile Web

scholarly journals Giving Respondents Voice? The Feasibility of Voice Input for Mobile Web Surveys

2018 ◽  
Vol 11 (2) ◽  
pp. 1-11 ◽  
Author(s):  
Melanie Revilla ◽  
Mick P. Couper ◽  
Carlos Ochoa
Keyword(s):  
Web Surveys ◽  
Voice Input ◽  
Mobile Web

Device use in Web Surveys

2016 ◽  
Vol 58 (4) ◽  
pp. 523-544 ◽  
Author(s):  
Aigul Mavletova ◽  
Mick P. Couper
Keyword(s):  
Mobile Phone ◽  
Mobile Devices ◽  
Mobile Internet ◽  
Participation Rates ◽  
Web Surveys ◽  
Mobile Web ◽  
Percentage Points ◽  
Internet Users ◽  
Sample Composition ◽  
Device Use

This paper hypothesises that conditional differential incentives can increase overall participation rates and the proportion of respondents who use a particular device in web surveys. Previous studies have not found effective ways of encouraging participants to use smartphones to complete web surveys. We conducted an experiment using a volunteer online access panel in Russia with 5,474 invitations sent to regular mobile internet users. We varied the invitation mode (SMS vs email) and encouragement to use a particular device for completing the survey: mobile phone or personal computer (PC). SMS increased the proportion of mobile web respondents, while email increased the proportion of PC web respondents. As expected, differential incentives increased the overall participation rates by 8–10 percentage points if higher incentives were offered for completing the survey on a mobile phone. Contrary to expectations, offering higher incentives to PC web respondents did not produce higher participation rates compared to the control condition. Both encouraging the use of a mobile phone and offering higher incentives were effective at increasing the proportion of respondents using mobile devices. In terms of both participation rates and the proportion of respondents using mobile devices, offering incentives 50% higher was as efficient as offering incentives 100% higher for mobile web respondents. Offering higher incentives to mobile web respondents also had an effect on sample composition. Significantly higher participation rates were found among females and those with higher education.

Data Quality in PC and Mobile Web Surveys

2013 ◽  
Vol 31 (6) ◽  
pp. 725-743 ◽  
Author(s):  
Aigul Mavletova
Keyword(s):  
Data Quality ◽  
Web Surveys ◽  
Mobile Web

scholarly journals Using Smartphone Technology for Research on Refugees: Evidence from Germany

2019 ◽  
pp. 004912411985237 ◽  
Author(s):  
Florian Keusch ◽  
Mariel M. Leonard ◽  
Christoph Sajons ◽  
Susan Steiner
Keyword(s):  
Data Collection ◽  
Reading Proficiency ◽  
Target Population ◽  
Web Surveys ◽  
Mobile Data ◽  
Mobile Data Collection ◽  
Mobile Web ◽  
Transient Nature ◽  
Smartphone Technology

Researchers attempting to survey refugees over time face methodological issues because of the transient nature of the target population. In this article, we examine whether applying smartphone technology could alleviate these issues. We interviewed 529 refugees and afterward invited them to four follow-up mobile web surveys and to install a research app for passive mobile data collection. Our main findings are as follows: First, participation in mobile web surveys declines rapidly and is rather selective with significant coverage and nonresponse biases. Second, we do not find any factor predicting types of smartphone ownership, and only low reading proficiency is significantly correlated with app nonparticipation. However, obtaining sufficiently large samples is challenging—only 5 percent of the eligible refugees installed our app. Third, offering a 30 Euro incentive leads to a statistically insignificant increase in participation in passive mobile data collection.

Optimal Data Entry Designs in Mobile Web Surveys for Older Adults

2018 ◽  
pp. 335-354 ◽  
Author(s):  
Erica Olmsted-Hawala ◽  
Elizabeth Nichols ◽  
Brian Falcone ◽  
Ivonne J. Figueroa ◽  
Christopher Antoun ◽  
...  
Keyword(s):  
Older Adults ◽  
Data Entry ◽  
Web Surveys ◽  
Mobile Web

scholarly journals Web Versus Other Survey Modes: An Updated and Extended Meta-Analysis Comparing Response Rates

2019 ◽  
Vol 8 (3) ◽  
pp. 513-539 ◽  
Author(s):  
Jessica Daikeler ◽  
Michael Bošnjak ◽  
Katja Lozar Manfreda
Keyword(s):  
Survey Methodology ◽  
Response Rate ◽  
Meta Analysis ◽  
Response Rates ◽  
Recruitment Strategy ◽  
Web Surveys ◽  
Lower Response ◽  
Percentage Points ◽  
Survey Modes ◽  
Experimental Comparisons

Abstract Do web surveys still yield lower response rates compared with other survey modes? To answer this question, we replicated and extended a meta-analysis done in 2008 which found that, based on 45 experimental comparisons, web surveys had an 11 percentage points lower response rate compared with other survey modes. Fundamental changes in internet accessibility and use since the publication of the original meta-analysis would suggest that people’s propensity to participate in web surveys has changed considerably in the meantime. However, in our replication and extension study, which comprised 114 experimental comparisons between web and other survey modes, we found almost no change: web surveys still yielded lower response rates than other modes (a difference of 12 percentage points in response rates). Furthermore, we found that prenotifications, the sample recruitment strategy, the survey’s solicitation mode, the type of target population, the number of contact attempts, and the country in which the survey was conducted moderated the magnitude of the response rate differences. These findings have substantial implications for web survey methodology and operations.

Mobile Web Surveys

2017 ◽  
pp. 133-154 ◽  
Author(s):  
Mick P. Couper ◽  
Christopher Antoun ◽  
Aigul Mavletova
Keyword(s):  
Web Surveys ◽  
Mobile Web
Sign in / Sign up

Export Citation Format

Share Document