[
Bradburn, N. 1978. “Respondent burden.” In Proceedings of the Survey Research Methods Section of the American Statistical Association 35: 40. Alexandria, VA, USA: American Statistical Association. Available at: http://www.asasrms.org/Proceedings/papers/1978_007.pdf.
]Search in Google Scholar
[
Brick, J.M., and D. Williams. 2013. “Explaining rising nonresponse rates in cross-sectional surveys.” The ANNALS of the American academy of political and social science 645(1): 36–59. DOI: https://doi.org/10.1177/0002716212456834.10.1177/0002716212456834
]Search in Google Scholar
[
Crawford, S.D., M.P. Couper, and M.J. Lamias. 2001. “Web surveys: Perceptions of burden.” Social science computer review 19 (2): 146–162. DOI: https://doi.org/10.1177/089443930101900202.10.1177/089443930101900202
]Search in Google Scholar
[
Fricker, S., C. Kreisler, and L. Tan. 2012. “An exploration of the application of PLS path modeling approach to creating a summary index of respondent burden.” In JSM Proceedings: 4141–4155.
]Search in Google Scholar
[
Fricker, S., T. Yan, and S. Tsai. 2014. Response burden: What predicts it and who is burdened out. In JSM Proceedings: 4568–4577. Available at: https://www.bls.gov/osmr/research-papers/2014/pdf/st140170.pdf.
]Search in Google Scholar
[
Dale, T., and J. Erikson, J. Fosen, G. Haraldsen, J. Jones, and Ø. Kleven 2007. Handbook for Monitoring and Evaluating Business Survey Response Burdens. European Commission, Eurostat. Available at: https://ec.europa.eu/eurostat/documents/64157/4374310/12-HANDBOOK-FOR-MONITORING-AND-EVALUATING-BUSINESS-SURVEY-RESONSE-BURDEN.pdf/600e3c6d-8e8d-44f7-a8f5-0931c71d9920.
]Search in Google Scholar
[
European Commission. 2017. European Statistics Code of Practice for the National Statistical Authorities and Eurostat (EU statistical authority). European Statistical System Committee. Available at: https://ec.europa.eu/eurostat/documents/4031688/8971242/KS-02-18-142-EN-N.pdf/e7f85f07-91db-4312-8118-f729c75878c7?t=1528447068000.
]Search in Google Scholar
[
Galesic, M. 2006. “Dropouts on the web: Effects of interest and burden experienced during an online survey.” Journal of Official Statistics 22 (2): 313–328. Available at: https://www.scb.se/contentassets/ca21efb41fee47d293bbee5bf7be7fb3/dropouts-on-the-web-effects-of-interest-and-burden-experienced-during-an-online-survey.pdf.
]Search in Google Scholar
[
Krosnick, J.A. 1999. “ Survey research.” Annual review of psychology 50(1): 537–567. Office of Personnel Management. Available at: https://www.opm.gov/about-us/open-government/digital-government-strategy/fitara/paperwork-reduction-act-guide.pdf (accessed June 2022).10.1146/annurev.psych.50.1.53715012463
]Search in Google Scholar
[
Paperwork Reduction Act Guide. 2011. Office of Personnel Management. Available at: https://www.opm.gov/about-us/open-government/digital-government-strategy/fitara/paperwork-reduction-act-guide.pdf.
]Search in Google Scholar
[
Rolstad, S., J. Adler, and A. Rydén. 2011. “Response burden and questionnaire length: is shorter better? A review and meta-analysis.” Value in Health 14 (8): 1101–1108. DOI: https://doi.org/10.1016/j.jval.2011.06.003.10.1016/j.jval.2011.06.00322152180
]Search in Google Scholar
[
Yan, T., S. Fricker, and S. Tsai. 2020. “Response burden: What is it and what predicts it?” Advances in Questionnaire Design, Development, Evaluation and Testing: 193–212. DOI: https://doi.org/10.1002/9781119263685.ch8.
]Search in Google Scholar