Web Survey Bibliography
Title Are Final Comments in Web Survey Panels Associated with Next-Wave Attrition?
Author McLauchlan, C.; Schonlau, M.
Source Survey Research Methods, 10, 3, pp. 211-224
Year 2016
Database Web of Science
Access date 30.03.2017
Abstract
Near the end of a web survey respondents are often asked whether they have further comments. Such final comments are usually ignored, in part because open-ended questions are challenging to analyse. We explored whether final comments are associated with next-wave attrition in survey panels. We categorized a random sample of final comments in the Longitudinal Studies for the Social Sciences (LISS) panel and Dutch Immigrant panel into one of eight categories (neutral, positive, six subcategories of negative) and regressed the indicator of next-wave attrition on comment length, comment category and socio-demographic variables. In the Immigrant panel we found shorter final comments (< 30 words) are associated with increased next-wave attrition, and longer final comments (> 55 words) with decreased next-wave attrition relative to making no comment. Comments about unclear survey questions quadruple the odds of attrition and "other" (uncategorized) negative comments almost double the odds of attrition. In the LISS panel, making a comment (versus not) and comment length are not associated with attrition. However, when specifying individual comment categories, neutral comments are associated with half the odds of attrition relative to not making a comment.Near the end of a web survey respondents are often asked whether they have further comments. Such final comments are usually ignored, in part because open-ended questions are challenging to analyse. We explored whether final comments are associated with next-wave attrition in survey panels. We categorized a random sample of final comments in the Longitudinal Studies for the Social Sciences (LISS) panel and Dutch Immigrant panel into one of eight categories (neutral, positive, six subcategories of negative) and regressed the indicator of next-wave attrition on comment length, comment category and socio-demographic variables. In the Immigrant panel we found shorter final comments (< 30 words) are associated with increased next-wave attrition, and longer final comments (> 55 words) with decreased next-wave attrition relative to making no comment. Comments about unclear survey questions quadruple the odds of attrition and "other" (uncategorized) negative comments almost double the odds of attrition. In the LISS panel, making a comment (versus not) and comment length are not associated with attrition. However, when specifying individual comment categories, neutral comments are associated with half the odds of attrition relative to not making a comment.Near the end of a web survey respondents are often asked whether they have further comments. Such final comments are usually ignored, in part because open-ended questions are challenging to analyse. We explored whether final comments are associated with next-wave attrition in survey panels. We categorized a random sample of final comments in the Longitudinal Studies for the Social Sciences (LISS) panel and Dutch Immigrant panel into one of eight categories (neutral, positive, six subcategories of negative) and regressed the indicator of next-wave attrition on comment length, comment category and socio-demographic variables. In the Immigrant panel we found shorter final comments (<30 words) are associated with increased next-wave attrition, and longer final comments (>55 words) with decreased next-wave attrition relative to making no comment. Comments about unclear survey questions quadruple the odds of attrition and “other” (uncategorized) negative comments almost double the odds of attrition. In the LISS panel, making a comment (vs. not) and comment length are not associated with attrition. However, when specifying individual comment categories, neutral comments are associated with half the odds of attrition relative to not making a comment.
- See more at: https://ojs.ub.uni-konstanz.de/srm/article/view/6217#sthash.6Z5DU1XU.dpuf
Near the end of a web survey respondents are often asked whether they have further comments. Such final comments are usually ignored, in part because open-ended questions are challenging to analyse. We explored whether final comments are associated with next-wave attrition in survey panels. We categorized a random sample of final comments in the Longitudinal Studies for the Social Sciences (LISS) panel and Dutch Immigrant panel into one of eight categories (neutral, positive, six subcategories of negative) and regressed the indicator of next-wave attrition on comment length, comment category and socio-demographic variables. In the Immigrant panel we found shorter final comments (<30 words) are associated with increased next-wave attrition, and longer final comments (>55 words) with decreased next-wave attrition relative to making no comment. Comments about unclear survey questions quadruple the odds of attrition and “other” (uncategorized) negative comments almost double the odds of attrition. In the LISS panel, making a comment (vs. not) and comment length are not associated with attrition. However, when specifying individual comment categories, neutral comments are associated with half the odds of attrition relative to not making a comment.
- See more at: https://ojs.ub.uni-konstanz.de/srm/article/view/6217#sthash.6Z5DU1XU.dpuf
Near the end of a web survey respondents are often asked whether they have further comments. Such final comments are usually ignored, in part because open-ended questions are challenging to analyse. We explored whether final comments are associated with next-wave attrition in survey panels. We categorized a random sample of final comments in the Longitudinal Studies for the Social Sciences (LISS) panel and Dutch Immigrant panel into one of eight categories (neutral, positive, six subcategories of negative) and regressed the indicator of next-wave attrition on comment length, comment category and socio-demographic variables. In the Immigrant panel we found shorter final comments (< 30 words) are associated with increased next-wave attrition, and longer final comments (> 55 words) with decreased next-wave attrition relative to making no comment. Comments about unclear survey questions quadruple the odds of attrition and "other" (uncategorized) negative comments almost double the odds of attrition. In the LISS panel, making a comment (versus not) and comment length are not associated with attrition. However, when specifying individual comment categories, neutral comments are associated with half the odds of attrition relative to not making a comment.
Access/Direct link Journal Homepage (abstract) / (full text)
Year of publication2016
Bibliographic typeJournal article
Web survey bibliography - Schonlau, M. (14)
- Are Final Comments in Web Survey Panels Associated with Next-Wave Attrition?; 2016; McLauchlan, C.; Schonlau, M.
- Options for Fielding and Analyzing Web Surveys; 2016; Schonlau, M.; Couper, M. P.
- What do web survey panel respondents answer when asked “Do you have any other comment?”; 2015; Schonlau, M.
- Recruiting an Internet Panel Using Respondent-Driven Sampling; 2014; Schonlau, M., Weidmer, B., Kapteyn, A.
- Recruiting in an Internet panel using respondent driven sampling; 2012; Schonlau, M.
- Respondent-driven sampling; 2012; Schonlau, M., Liebau, E.
- Conducting Respondent Driven Sampling on the Web: An Experimental Approach to Recruiting Challenges; 2011; Kapteyn, A., Schonlau, M.
- Graph comprehension: an experiment in displaying data as bar charts, pie charts and tables with and...; 2008; Schonlau, M.
- Beyond Demographics: Are ‘Webographic’ Questions Useful for Reducing the Selection Bias...; 2007; Schonlau, M., van Soest, A., Kapteyn, A.
- Will Web Surveys Ever Become Part of Mainstream Research?; 2004; Schonlau, M.
- A Comparison Between Responses From a Propensity-Weighted Web Survey and an Identical RDD Survey; 2004; Schonlau, M., Zapert, K., Simon, L. P., Sanstad, K., Marcus, S., Adams, Jo., Spranca, M., Kan, H., Turner...
- Web Surveys as Part of a Mixed-Mode Strategy for Populations That Cannot Be Contacted by E-Mail; 2003; Schonlau, M., Asch, B. J., Du, C.
- Conducting Research Surveys via E-mail and the Web; 2002; Schonlau, M., Elliot, M. N., Fricker, R. D.
- Literature Review of Web and E-mail Surveys, Chapter III; 2001; Schonlau, M., Fricker, R. D., Elliot, M. N.