Web Survey Bibliography
Title Examining Completion Rates in Web Surveys via Over 25,000 Real-World Surveys
Author Liu, M.; Wronski, L.
Source Social Science Computer Review; First Published January 1, 2017
Year 2017
Database SAGE Journals Online
Access date 14.07.2017
Abstract 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.
Access/Direct link Journal Homepage (abstract) / (full text)
Year of publication2017
Bibliographic typeJournal article
Web survey bibliography (8371)
- Usability Testing for Survey Research; 2017; Geisen, E.; Romano Bergstrom, J. C.
- Paradata as an aide to questionnaire design: Improving quality and reducing burden; 2017; Timm, E.; Stewart, J.; Sidney, I.
- Fieldwork monitoring and managing with time-related paradata; 2017; Vandenplas, C.
- Interviewer effects on onliner and offliner participation in the German Internet Panel; 2017; Herzing, J. M. E.; Blom, A. G.; Meuleman, B.
- Interviewer Gender and Survey Responses: The Effects of Humanizing Cues Variations; 2017; Jablonski, W.; Krzewinska, A.; Grzeszkiewicz-Radulska, K.
- Millennials and emojis in Spain and Mexico.; 2017; Bosch Jover, O.; Revilla, M.
- Where, When, How and with What Do Panel Interviews Take Place and Is the Quality of Answers Affected...; 2017; Niebruegge, S.
- Comparing the same Questionnaire between five Online Panels: A Study of the Effect of Recruitment Strategy...; 2017; Schnell, R.; Panreck, L.
- Who fails and who passes instructed response item attention checks in web surveys?; 2017; Gummer, T.; Rossman, J.; Silber, H.
- Nonresponses as context-sensitive response behaviour of participants in online-surveys and their relevance...; 2017; Wetzlehuetter, D.
- Do distractions during web survey completion affect data quality? Findings from a laboratory experiment...; 2017; Wenz, A.
- Predicting Breakoffs in Web Surveys; 2017; Mittereder, F.; West, B. T.
- Measuring Subjective Health and Life Satisfaction with U.S. Hispanics; 2017; Lee, S.; Davis, R.
- Humanizing Cues in Internet Surveys: Investigating Respondent Cognitive Processes; 2017; Jablonski, W.; Grzeszkiewicz-Radulska, K.; Krzewinska, A.
- A Comparison of Emerging Pretesting Methods for Evaluating “Modern” Surveys; 2017; Geisen, E., Murphy, J.
- The Effect of Respondent Commitment on Response Quality in Two Online Surveys; 2017; Cibelli Hibben, K.
- How to encourage people to complete online surveys when using a different contact mode? A summary and...; 2017; Nicolaas, G.; Smith, Pa.
- Pushing from telephone to web: a low-cost and effective way to conduct national election studies; 2017; Kartsounidou, E.; Andreadis, I.
- Address-based Online Surveying (ABOS): The impact of design features on response ; 2017; Fitzpatrick, A.; Williams, Jo.
- Notes from a Push2web(+mail) survey: the ISSP 2014 Citizenship survey in Spain; 2017; Mendez, M.
- Pushing to web in the ISSP; 2017; Jonsdottir, G. A.; Dofradottir, A. G.; Einarsson, H. B.
- The 2016 Canadian Census: An Innovative Wave Collection Methodology to Maximize Self-Response and Internet...; 2017; Mathieu, P.
- Quantitative testing of the most effective advance communication strategies for a mixed mode (including...; 2017; Phelps, A.
- Transformed respondent engagement strategy; an overview of the research at ONS to develop respondent...; 2017; Wilson, L.; Nickson, S.
- Push2web or less is more? Experimental evidence from a mixed-mode population survey at the community...; 2017; Neumann, R.; Haeder, M.; Brust, O.; Dittrich, E.; von Hermanni, H.
- The worldwide increase in use of web-push methods that start with a mail contact; what have we learned...; 2017; Dillman, D. A.
- In search of best practices; 2017; Kappelhof, J. W. S.; Steijn, S.
- Redirected Inbound Call Sampling (RICS); A New Methodology ; 2017; Krotki, K.; Bobashev, G.; Levine, B.; Richards, S.
- An Empirical Process for Using Non-probability Survey for Inference; 2017; Tortora, R.; Iachan, R.
- The perils of non-probability sampling; 2017; Bethlehem, J.
- A Comparison of Two Nonprobability Samples with Probability Samples; 2017; Zack, E. S.; Kennedy, J. M.
- A bootstrap method for estimating the sampling variation in point estimates from quota samples; 2017; Kuha, J.; Sturgis, P.
- Investigation into the use of weighting adjustments for non-probability online panel samples; 2017; Neiger, D.; Pennay, D. W.; Ward, A. C.; Lavrakas, P. J.
- Expanding the toolbox: inference from non-probability samples using machine learning; 2017; Burger, J.; Buelens, B.; van de Brakel, J.
- Rates, Delays, and Completeness of General Practitioners’ Responses to a Postal Versus Web-Based...; 2017; Sebo, P.; Maisonneuve, H.; Cerutti, B.; Pascal Fournier, J.; Haller, D. M.
- Necessary but Insufficient: Why Measurement Invariance Tests Need Online Probing as a Complementary...; 2017; Meitinger, K.
- Nonresponse in Organizational Surveying: Attitudinal Distribution Form and Conditional Response Probabilities...; 2017; Kulas, J. T.; Robinson, D. H.; Kellar, D. Z.; Smith, J. A.
- Theory and Practice in Nonprobability Surveys: Parallels between Causal Inference and Survey Inference...; 2017; Mercer, A. W.; Kreuter, F.; Keeter, S.; Stuart, E. A.
- Apples to Oranges or Gala versus Golden Delicious?: Comparing Data Quality of Nonprobability Internet...; 2017; Dutwin, D.; Buskirk, T. D.
- Is There a Future for Surveys; 2017; Miller, P. V.
- From standardised to targeted survey procedures for tackling non-response and attrition; 2017; Lynn, P.
- Reducing speeding in web surveys by providing immediate feedback; 2017; Conrad, F.; Tourangeau, R.; Couper, M. P.; Zhang, C.
- Non-unique Records in International Survey Projects: The Need for Extending Data Quality Control; 2017; Slomczynski, K. M.; Powalko, P.; Krauze, T.
- Two of a Kind. Similarities Between Ranking and Rating Data in Measuring Values; 2017; Moors, G.; Vriens, I.; Gelissen, J.; Vermunt, J. K.
- Improving Likert Scale Raw Scores Interpretability with K-means Clustering; 2017; Michalopoulou, C.; Symeonaki, M.
- Social Desirability and Undesirability Effects on Survey Response latencies; 2017; Andersen, H.; Mayerl, J.
- Not all Data Exports are equal: Automating data outputs to meet ever increasing demands; 2017; Eldridge, J.; Stefanovic, A.
- A Working Example of How to Use Artificial Intelligence To Automate and Transform Surveys Into Customer...; 2017; Neve, S.
- A Case Study on Evaluating the Relevance of Some Rules for Writing Requirements through an Online Survey...; 2017; Warnier, M.; Condamines, A.
- Estimating the Impact of Measurement Differences Introduced by Efforts to Reach a Balanced Response...; 2017; Kappelhof, J. W. S.; De Leeuw, E. D.