Effects of objective and perceived burden on response quality in web surveys

Author:

Kunz Tanja1ORCID,Gummer Tobias12ORCID

Affiliation:

1. Data and Research on Society, GESIS – Leibniz Institute for the Social Sciences, Mannheim, Germany

2. School of Social Sciences, University of Mannheim, Mannheim, Germany

Publisher

Informa UK Limited

Reference43 articles.

1. American Association for Public Opinion Research (AAPOR). (2023). Standard definitions. Final dispositions of case codes and outcome rates for surveys (10th ed.). https://www.aapor.org/AAPOR_Main/media/publications/Standard-Definitions20169theditionfinal.pdf

2. Beatty, P. C., & Herrmann, D. (2002). To answer or not to answer: Decision processes related to survey item nonresponse. In R. M. Groves, D. A. Dillmann, J. L. Eltinge, & R. J. A. Little (Eds.), Survey nonresponse (pp. 71–86). Wiley.

3. Stop With the Questions Already! Does Data Quality Suffer for Scales Positioned Near the End of a Lengthy Questionnaire?

4. Bradburn, N. (1978). Respondent burden. JSM Proceedings, Survey Research Methods Section, American Statistical Association (pp. 35–40). http://www.asasrms.org/Proceedings/papers/1978_007.pdf

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