Web Survey Bibliography
Title Does Asking for Linkage Consent in the Beginning of the Questionnaire Affect Respondents' Answers?
Author Haas, G. C.; Eckman, S.
Year 2016
Access date 02.06.2016
Abstract
Combining survey data with administrative data strengthens researchers' analyses, but we usually need the consent of each respondent to do so. Several studies have shown that the highest consent rates are achieved by asking the linkage consent question at the beginning of the questionnaire. However, asking this question at the beginning may impact respondents' answers throughout the interview. We hypothesize that asking for consent could affect responses in one of two contradictory ways. First, respondents might fear that their answers will be checked and thus expend more effort to give correct data (better respondents hypothesis). Second, respondents might think that their responses are no longer important and thus expend less effort(worse respondents hypothesis). We test these two hypotheses using a survey that asked half of the respondents for linkage consent at the beginning of the survey, and the other half at the end. Since the consenters in the two groups are not equivalent, we use the entropy balance technique to simulate a random distribution over both groups and calculate the effect of asking the consent question at the beginning on data quality, operationalized as measurement error (responses compared to administrative data) and item nonresponse. Preliminary results show that the linkage consent question does not affect response behavior, in the web or in CATI, which is good news for researchers who want to ask the linkage consent question in the beginning of the questionnaire, and also for methodologists who use linked data to investigate measurement error.
Access/Direct link Conference Homepage (abstract)
Year of publication2016
Bibliographic typeConferences, workshops, tutorials, presentations
Web survey bibliography (4086)
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- Assessing the Effects and Effectiveness of Attention-check Questions in Web Surveys: Evidence From a...; 2016; Vannette, D.
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- Unintentional Mobile Respondents in Official Statis tics and Their Effect on Data Quality ; 2016; Bakker, J.
- Evaluating a Modular Design Approach to Collecting Survey Data Using Text Messages ; 2016; West, B. T.; Ghimire, D.; Axinn, W.
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- The Impact of Response Scale Direction on Survey Responses in a Mixed-mode Survey ; 2016; Hu, M.; Yan, T.; Keusch, F.
- Examining Trends in the Presence of Survey Mode Effects ; 2016; Hisako Kitada, H.; Lesser, V. M.
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- The Effect of Respondent Commitment and Tailored Fe edback on Response Quality in an Online Survey ; 2016; Cibelli Hibben, K.; Conrad, F. G.
- Effectiveness of Messaging to Encourage Response to the ACS ; 2016; Fulton, J.; Hunter Childs, J. E.; Morales, G.
- Reaching the Mobile Generation: Reducing Web Survey Non-response through SMS Reminders ; 2016; Kanitkar, K. N.; Marlar, J.
- The Effect of Using Text Messages for Survey Invitations and Reminders ; 2016; McGeeney, K.; Yan, H. Y.
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- Mode Effects in Electoral Polls: A Comparative Perspective ; 2016; Durand, C.
- Safety First: Ensuring the Anonymity and Privacy of Iranian Panellists’ While Creating Iran...; 2016; Farmanesh, A.; Mohseni, E.
- Novel Methodology for Reaching a Statewide Represen tative Sample of Youth Ages 12-18 ; 2016; Freedner-Maguire, N.; ZuWallack, R. S.
- Communication Channels that Predict and Mediate Self-response ; 2016; Walejko, G. K.
- Encouraging Online Response among Hard-to-Survey Po pulations: Digital Advertising and Influencer Calls...; 2016; Bates, N.; Virgile, M.
- ...; 2016; Mccaffrey, K. M.; Otmany, J.; Hagedorn, S.
- Simulating a Census Environment to Test Online Self -response ; 2016; Vines, M.
- Using a Response Propensity Model to Allocate Non-c ontingent Incentives in a Web Panel ; 2016; Masterton, M.
- Promoting Participation in Web Surveys; 2016; Hupp, A.; Chan, W.
- Does Asking for Linkage Consent in the Beginning of the Questionnaire Affect Respondents' Answers...; 2016; Haas, G. C.; Eckman, S.
- Implications of Response Device Type for Sensitive Web Surveys: Examining Data Quality and Respondent...; 2016; C.; Richards, A.; C.; Peterson, K.; Smith, A. C.
- Influence of Multiple Factors on Response Rate; 2016; Chaney,B.H.; Chaney, B. H.; Kindlon, A.
- What’s Your Number? Evaluating the Success of Telep hone Number Acquisition Via Record Match,...; 2016; Linville, J. C.; Carley- R.; Carley- R.; Grant, D. B.; Carley- R.; Jans, M.; Carley- R.; Park, R.; Becker...
- Tracking the Representativeness of an Online Panel Over Time ; 2016; Klausch, L. T.; Scherpenzeel, A.
- Can Using a Mixed Mode Approach Improve the Representativeness and Data Quality in Panel Surveys?; 2016; Stern, M. J.
- Surveying American Indian and Alaska Native Parents : Identifying Characteristics of Survey Mode Preference...; 2016; Feeney, K.; Masters, F.
- The Impact of Scale Direction, Alignment and Length on Responses to Rating Scale Questions in a Web...; 2016; Keusch, F.; Liu, M.; Yan, T.
- Pre-election Surveys Using a Multi-modal Interviewing Strategy ; 2016; Redman, J.; Thompson, Sc.; Yost, B.
- Methods for Detecting Telescoping Error in a Cross- sectional Web Design Survey ; 2016; Shook-Sa, B. E.; Berzofsky, M.; Peterson, K.; Lindquist, C.; Krebs, C.
- Introduction Breakoffs, Questionnaire Breakoffs and Web Questionnaire Length: A Metastudy ; 2016; Cehovin, G.; Vehovar, V.