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https://doi.org/10.18148/srm/2016.v10i3.6217

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Are final comments in web survey panels associated with next-wave attrition?

[journal article]

McLauchlan, Cynthia
Schonlau, Matthias

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 cate... view more

"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." (author's abstract)... view less

Keywords
online survey; questionnaire; response behavior; longitudinal study; panel; data capture; regression; survey research

Classification
Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods

Document language
English

Publication Year
2016

Page/Pages
p. 211-224

Journal
Survey Research Methods, 10 (2016) 3

ISSN
1864-3361

Status
Published Version; peer reviewed

Licence
Deposit Licence - No Redistribution, No Modifications


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GESIS LogoDFG LogoOpen Access Logo
Home  |  Legal notices  |  Operational concept  |  Privacy policy
© 2007 - 2025 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.