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Journal ArticleDOI

Web Surveys versus other Survey Modes: A Meta-Analysis Comparing Response Rates:

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TLDR
In this article, the authors conducted a meta-analysis of 45 published and unpublished experimental comparisons between web and other survey modes and found that on average, web surveys yield an 11% lower response rate compared to other modes (the 95% confidence interval is confined by 15% and 6% to the disadvantage of the web mode).
Abstract
One question that arises when discussing the usefulness of web-based surveys is whether they gain the same response rates compared to other modes of collecting survey data. A common perception exists that, in general, web survey response rates are considerably lower. However, such unsystematic anecdotal evidence could be misleading and does not provide any useful quantitative estimate. Metaanalytic procedures synthesising controlled experimental mode comparisons could give accurate answers but, to the best of the authors' knowledge, such research syntheses have so far not been conducted. To overcome this gap, the authors have conducted a meta-analysis of 45 published and unpublished experimental comparisons between web and other survey modes. On average, web surveys yield an 11% lower response rate compared to other modes (the 95% confidence interval is confined by 15% and 6% to the disadvantage of the web mode). This response rate difference to the disadvantage of the web mode is systematically influenced by the sample recruitment base (a smaller difference for panel members as compared to one-time respondents), the solicitation mode chosen for web surveys (a greater difference for postal mail solicitation compared to email) and the number of contacts (the more contacts, the larger the difference in response rates between modes). No significant influence on response rate differences can be revealed for the type of mode web surveys are compared to, the type of target population, the type of sponsorship, whether or not incentives were offered, and the year the studies were conducted. Practical implications are discussed.

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Citations
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Journal ArticleDOI

Factors affecting response rates of the web survey: A systematic review

TL;DR: A conceptual model of the web survey process is developed and used to systematically review a wide variety of factors influencing the response rate in the stage of survey development, survey delivery, survey completion, and survey return.
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The viability of crowdsourcing for survey research.

TL;DR: It is concluded that the use of these labor portals is an efficient and appropriate alternative to a university participant pool, despite small differences in personality and socially desirable responding across the samples.
Journal ArticleDOI

Web Survey Methods Introduction

TL;DR: The papers in this special issue reflect some of the many ways that the Internet can be used—whether alone or in combination with other methods—to conduct surveys.
Journal ArticleDOI

Key issues and research priorities for public participation GIS (PPGIS): A synthesis based on empirical research

TL;DR: In this paper, the authors present their views about the present and future of public participation GIS (PPGIS) for land use planning and management, and identify the key issues and research priorities in PPGIS.
Journal ArticleDOI

Survey Errors and Survey Costs

Eric R. Ziegel
- 01 Nov 1990 - 
References
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Journal ArticleDOI

The file drawer problem and tolerance for null results

TL;DR: Quantitative procedures for computing the tolerance for filed and future null results are reported and illustrated, and the implications are discussed.
Book

Practical Meta-Analysis

TL;DR: This paper presents a meta-analysis procedure called “Meta-Analysis Interpretation for Meta-Analysis Selecting, Computing and Coding the Effect Size Statistic and its applications to Data Management Analysis Issues and Strategies.
Journal ArticleDOI

Primary, Secondary, and Meta-Analysis of Research

TL;DR: The meta-analysis of research as discussed by the authors is an important feature of the research and evaluation enterprise, and it has been widely used in the field of computer science and computer engineering, especially in the context of education.
Book

Meta-analysis in social research

TL;DR: Meta-analysis as discussed by the authors is an approach that systematically analyzes and synthesizes research, treating a field of research as a complex set of data to be accumulated and integrated, and it has much in common with survey research.