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A Note on How Prior Survey Experience With Self-Administered Panel Surveys Affects Attrition in Different Modes
[journal article]
Abstract Attrition poses an important challenge for panel surveys. With respect to these surveys, respondents’ decisions about whether to participate in reinterviews are affected by their participation in prior waves of the panel. However, in self-administered mixed-mode panels, the way of experiencing a sur... view more
Attrition poses an important challenge for panel surveys. With respect to these surveys, respondents’ decisions about whether to participate in reinterviews are affected by their participation in prior waves of the panel. However, in self-administered mixed-mode panels, the way of experiencing a survey differs between the mail mode and the web mode. Consequently, this study investigated how respondents' prior experience with the characteristics of a survey - such as length, difficulty, interestingness, sensitivity, and the diversity of the questionnaire - affects their informed decision about whether to participate again or not. We found that the length of a questionnaire seems to be of such importance to respondents that they base their participation on this characteristic, regardless of the mode. Our findings also suggest that the difficulty and diversity of questionnaires are readily accessible information that respondents use in the mail mode when making a decision about whether to participate again, whereas these characteristics have no effect in the web mode. In addition, privacy concerns have an impact in the web mode but not in the mail mode.... view less
Keywords
survey research; mail survey; online survey; panel; participant; motivation; questionnaire; data protection
Classification
Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods
Free Keywords
mixed-mode; panel attrition; self-administered survey; survey experience; web survey; GESIS panel, release v19.0.0 of study number ZA5665
Document language
English
Publication Year
2020
Page/Pages
p. 490-498
Journal
Social Science Computer Review, 38 (2020) 4
DOI
https://doi.org/10.1177/0894439318816986
ISSN
1552-8286
Status
Published Version; peer reviewed
Licence
Deposit Licence - No Redistribution, No Modifications