Mobile Web Survey Design: Scrolling versus Paging, SMS versus E-mail Invitations

2014 ◽  
Vol 2 (4) ◽  
pp. 498-518 ◽  
Author(s):  
Aigul Mavletova ◽  
Mick P. Couper
Keyword(s):  
Survey Design ◽  
Web Survey ◽  
Mobile Web ◽  
E Mail

Experiments in Mobile Web Survey Design

2009 ◽  
Vol 28 (3) ◽  
pp. 319-335 ◽  
Author(s):  
Andy Peytchev ◽  
Craig A. Hill
Keyword(s):  
Survey Design ◽  
Web Survey ◽  
Mobile Web

scholarly journals Building on a Sequential Mixed-Mode Research Design in the Monitoring the Future Study

2020 ◽  
Author(s):  
Megan E Patrick ◽  
Mick P Couper ◽  
Bohyun Joy Jang ◽  
Virginia Laetz ◽  
John E Schulenberg ◽  
...  
Keyword(s):  
Mixed Mode ◽  
Survey Design ◽  
Response Rates ◽  
Control Group ◽  
Web Survey ◽  
12Th Grade ◽  
Monitoring The Future ◽  
E Mail ◽  
Mailed Survey ◽  
The Web

Abstract Given the promise of the web push plus e-mail survey design for providing cost-effective and high-quality data (Patrick et al. 2018, 2019) as an alternative to a paper-and-pencil mailed survey design for the longitudinal Monitoring the Future (MTF) study, the current study sought to further enhance the web push condition. The MTF sample is based on US nationally representative samples of 12th grade students surveyed annually. The MTF control group for the current study included participants who completed the in-school baseline survey in the 12th grade and were selected to participate in their first follow-up survey in 2017 via mailed surveys (N = 1,222). A supplementary sample (N = ∼2,450) was assigned to one of the two sequential mixed-mode conditions. Those in condition 1 (N = 1,198), or mail push, were invited to complete mailed surveys and later given a web survey option. Those in condition 2 (N = 1,173), or enhanced web push, were invited to complete a web survey (the same as in the 2014 study, but with the addition of text messages and quick response (QR) codes and the web survey was optimized for mobile devices) and then later given a mailed survey option. Research aims were to examine response rates across conditions, as well as how responses were distributed across mode (paper, web), devices (computer, smartphone, table), and method of accessing the web survey (hand-entered URL, QR code, e-mail link, SMS link). Response rates differed significantly: the MTF control group was 34.2 percent, mail push was 35.4 percent, and enhanced web push was 42.05 percent. The higher response rate in the enhanced web push condition suggests that the additional strategies were effective at bringing in more respondents. Key estimates produced by the enhanced web push condition did not differ from those of the MTF control group.

scholarly journals Paper, E-mail, or Both? Effects of Contact Mode on Participation in a Web Survey of Establishments

2018 ◽  
Vol 37 (6) ◽  
pp. 750-765 ◽  
Author(s):  
Joseph W. Sakshaug ◽  
Basha Vicari ◽  
Mick P. Couper
Keyword(s):  
Response Rate ◽  
Population Based ◽  
High Response Rate ◽  
Nonresponse Bias ◽  
Web Survey ◽  
Participation Rates ◽  
Web Surveys ◽  
Contact Mode ◽  
Mail Address ◽  
E Mail

Identifying strategies that maximize participation rates in population-based web surveys is of critical interest to survey researchers. While much of this interest has focused on surveys of persons and households, there is a growing interest in surveys of establishments. However, there is a lack of experimental evidence on strategies for optimizing participation rates in web surveys of establishments. To address this research gap, we conducted a contact mode experiment in which establishments selected to participate in a web survey were randomized to receive the survey invitation with login details and subsequent reminder using a fully crossed sequence of paper and e-mail contacts. We find that a paper invitation followed by a paper reminder achieves the highest response rate and smallest aggregate nonresponse bias across all-possible paper/e-mail contact sequences, but a close runner-up was the e-mail invitation and paper reminder sequence which achieved a similarly high response rate and low aggregate nonresponse bias at about half the per-respondent cost. Following up undeliverable e-mail invitations with supplementary paper contacts yielded further reductions in nonresponse bias and costs. Finally, for establishments without an available e-mail address, we show that enclosing an e-mail address request form with a prenotification letter is not effective from a response rate, nonresponse bias, and cost perspective.

Survey Tracker E-Mail/ Web Survey Software

2009 ◽  
pp. 1160-1163
Author(s):  
Eun G. Park
Keyword(s):  
Web Survey ◽  
Software Application ◽  
Central Focus ◽  
Software Programs ◽  
E Mail

This chapter offers an introductory description of SurveyTracker software. Comparisons are made to competitor software programs. The central focus is an explanation of the functions, features, and advantages of the software application.

Web Survey Design and Administration

2001 ◽  
Vol 65 (2) ◽  
pp. 230-253 ◽  
Author(s):  
M. P. COUPER ◽  
M. W. TRAUGOTT ◽  
M. J. LAMIAS
Keyword(s):  
Survey Design ◽  
Web Survey

scholarly journals The impact of COVID-19 pandemic on rheumatology practice and rheumatologists: a cross-sectional multinational study

2020 ◽  
Author(s):  
Nelly Ziade ◽  
Ihsane Hmamouchi ◽  
Lina el Kibbi ◽  
Nizar Abdulateef ◽  
Hussein Halabi ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Unmet Needs ◽  
Web Survey ◽  
Multinational Study ◽  
Regression Analyses ◽  
Cross Sectional ◽  
Arab League ◽  
The Impact ◽  
E Mail ◽  
Rheumatology Practice

Abstract ObjectiveTo evaluate the impact of the COVID-19 pandemic on rheumatology practice and on the rheumatologists themselves, and to develop suggestions to improve the practice.MethodsA cross-sectional web survey was designed by members of the Arab League of Associations for Rheumatology (ArLAR), validated by its scientific committee and disseminated through e-mail and social media. It included close-ended questions about the impact of the pandemic on the activities (in percentage, where 100% corresponds to complete suspension), and open-ended questions about unmet needs. Univariate and multivariable logistic regression analyses were used to evaluate the predictors of impact. Suggestions were developed to improve practice.ResultsA total of 858 rheumatologists were included in the analysis (27.3% of registered), 37% were 35-44 years-old, 60% were females and 48% worked in the private sector. The impact of COVID-19 was a decrease of 69% in hospitalizations, 65% in outpatient clinic, 56% in infusion centers and 43% in income. It was associated with the region (highest in the Gulf), the use of telemedicine, the impact on income and the practice sector (lowest in private). Telemedicine was mostly based on traditional telephone contacts and e-mails and reimbursed in 12%. Fifteen rheumatologists (1.8%) were infected and 156 cases of COVID-19 among patients were reported, of whom 22% died. The top-cited unmet needs were: access to drugs and a telemedicine platform.Conclusion The negative COVID-19 pandemic on rheumatology practice may compromise rheumatic diseases control. Better access to drugs and providing telemedicine platforms are recommended to improve the practice.

Web Survey Design

2007 ◽  
pp. 9-18
Author(s):  
M. McCord
Keyword(s):  
Interface Design ◽  
Online Survey ◽  
Survey Design ◽  
Web Survey ◽  
Pilot Test ◽  
Data Types ◽  
Web Surveys ◽  
Technical Requirements ◽  
Survey System ◽  
Initial Survey

The Web survey design chapter covers the process of creating a Web (online) survey system. Along with technical requirements, the chapter gives instruction and examples for four stages of Web survey design: determine survey requirements, design initial survey system, pilot test, and system modification. In the determine survey requirements section, the authors direct the reader through steps that design a ques-tionnaire form with data types that will meet the survey requirements. The chapter includes examples of design and coding procedures to be used for Web surveys. In the design initial survey system stage, issues such as user interface design, database design, and application interface design are covered, and recommendations are given. After the survey system is built, the chapter outlines procedures for a pilot test, giving solutions for debugging the system, and how to increase response rate. The chapter ends with methods to revise the system before its final use.

Understanding the Impact of Lottery Incentives on Web Survey Participation and Response Quality

Field Methods ◽  
2016 ◽  
Vol 29 (1) ◽  
pp. 42-60
Author(s):  
Chan Zhang ◽  
Steven Lonn ◽  
Stephanie D. Teasley
Keyword(s):  
Low Income ◽  
Web Survey ◽  
Experimental Conditions ◽  
Response Quality ◽  
Target Populations ◽  
Survey Participation ◽  
Two Factors ◽  
The Impact ◽  
E Mail ◽  
Cumulative Evidence

Cumulative evidence is mixed regarding the effect of lottery incentives on survey participation; little is known about why this strategy sometimes works and other times fails. We examined two factors that can influence the effectiveness of lottery incentives as suggested by leverage-salience theory: emphasis of survey attributes in invitations and characteristics of target populations. We conducted a web survey experiment where one condition highlighted lottery incentives in the e-mail invitations (incentive-centered condition) and the other highlighted the value of the survey with a brief mention of the lottery (survey-centered condition). We found that the incentive-centered condition had a significantly higher response rate than the survey-centered condition, especially among individuals with a relatively low income. Although invitation emphasis affected respondent compositions regarding motives for participation, the differences in response quality between the two experimental conditions were small and mostly not significant.

Examining Completion Rates in Web Surveys via Over 25,000 Real-World Surveys

2017 ◽  
Vol 36 (1) ◽  
pp. 116-124 ◽  
Author(s):  
Mingnan Liu ◽  
Laura Wronski
Keyword(s):  
Real World ◽  
Survey Design ◽  
Negative Relationship ◽  
Completion Rate ◽  
Question Type ◽  
Web Survey ◽  
Completion Rates ◽  
Web Surveys ◽  
Survey Length ◽  
The Impact

A survey’s completion rate is one of its most important data quality measures. There are quite a few published studies examining web survey completion rate through experimental approaches. In this study, we expand the existing literature by examining the predictors of web survey completion rate using 25,080 real-world web surveys conducted by a single online panel. Our findings are consistent with the literature on some dimensions, such as finding a negative relationship between completion rate and survey length and question difficulty. Also, surveys without progress bars have higher completion rates than surveys with progress bars. This study also generates new insights into survey design features, such as the impact of the first question type and length on completion rate.

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