127
Views
0
CrossRef citations to date
0
Altmetric
Research note

Does survey branding matter for human dimensions of natural resources research? A case study of university- and government-branded surveys

, , , &

References

  • Beullens, K., Loosveldt, G., Vandenplas, C., & Stoop, I. (2018). Response rates in the European social survey: Increasing, decreasing, or a matter of fieldwork efforts? Survey Methods: Insights from the Field. https://doi.org/10.13094/SMIF-2018-00003
  • Booker, Q. S., Austin, J. D., & Balasubramanian, B. A. (2021). Survey strategies to increase participant response rates in primary care research studies. Family Practice, 38(5), 699–702. https://doi.org/10.1093/fampra/cmab070
  • Connelly, N. A., Brown, T. L., & Decker, D. J. (2003). Factors affecting response rates to natural resource - focused mail surveys: Empirical evidence of declining rates over time. Society & Natural Resources, 16(6), 541–549. https://doi.org/10.1080/08941920309152
  • Cook, C., Heath, F., & Thompson, R. L. (2000). A meta-analysis of response rates in web- or internet-based surveys. Educational and Psychological Measurement, 60(6), 821–836. https://doi.org/10.1177/00131640021970934
  • Dillman, D. A., Smyth, J. D., & Christian, L. M. (2014). Internet, phone, mail and mixed-mode surveys: The tailored design method (4th ed.). Wiley.
  • Edwards, M. L., Dillman, D. A., & Smyth, J. D. (2014). An experimental test of the effects of survey sponsorship on internet and mail survey response. Public Opinion Quarterly, 78(3), 734–750. https://doi.org/10.1093/poq/nfu027
  • Edwards, P., Roberts, I., Clarke, M., DiGuiseppi, C., Pratap, S., Wentz, R., & Kwan, I. (2002). Increasing response rates to postal questionnaires: Systematic review. British Medical Journal, 324(7347), 1183–1185. https://doi.org/10.1136/bmj.324.7347.1183
  • Fan, W., & Yan, Z. (2010). Factors affecting response rates of the web survey: A systematic review. Computers in Human Behavior, 26(2), 132–139. https://doi.org/10.1016/j.chb.2009.10.015
  • Fox, R. J., Crask, M. R., & Kim, J. (1988). Mail survey response rate: A meta-analysis of selected techniques for inducing response. Public Opinion Quarterly, 52(4), 467. https://doi.org/10.1086/269125
  • Glas, Z. E., Getson, J. M., Gao, Y., Singh, A. S., Eanes, F. R., Esman, L. A., Bulla, B. R., & Prokopy, L. S. (2019). Effect of monetary incentives on mail survey response rates for midwestern farmers. Society & Natural Resources, 32(2), 229–237. https://doi.org/10.1080/08941920.2018.1530815
  • Groves, R. M., Presser, S., Tourangeau, R., West, B. T., Couper, M. P., Singer, E., & Toppe, C. (2012). Support for the survey sponsor and nonresponse bias. Public Opinion Quarterly, 76(3), 512–524. https://doi.org/10.1093/poq/nfs034
  • Harris-Kojetin, B., & Tucker, C. (1999). Exploring the relation of economic and political conditions with refusal rates to a government survey. Journal of Official Statistics, 15(2), 167–184.
  • Heemskerk, M., Duijves, C., & Pinas, M. (2015). Interpersonal and institutional distrust as disabling factors in natural resources management: Small-scale gold miners and the government in Suriname. Society & Natural Resources, 28(2), 133–148. https://doi.org/10.1080/08941920.2014.929769
  • Krumpal, I. (2013). Determinants of social desirability bias in sensitive surveys: A literature review. Quality & Quantity, 47(4), 2025–2047. https://doi.org/10.1007/s11135-011-9640-9
  • Likert, R. (1932). A technique for the measurement of attitudes. Archives of Psychology, 140, 1–55. https://doi.org/10.4135/9781412961288.n454
  • McGuire, K., & Sanyal, N. (2006). A human dimensions inquiry in watershed analysis: Listening to constituents’ views of contested legitimacy on the national forest. Society and Natural Resources, 19(10), 889–904. https://doi.org/10.1080/08941920600901874
  • Mohammad, S. M., & Turney, P. D. (2013). Crowdsourcing a word-emotion association lexicon. Computational Intelligence, 29(3), 436–465. https://doi.org/10.1111/j.1467-8640.2012.00460.x
  • Nederhof, A. J. (1985). Methods of coping with social desirability bias: A review. European Journal of Social Psychology, 15(3), 263–280. https://doi.org/10.1002/ejsp.2420150303
  • Oreskes, N., & Conway, E. M. (2022). From anti-government to anti-science: Why conservatives have turned against science. Daedalus, 151(4), 98–123. https://doi.org/10.1162/daed_a_01946
  • Qualtrics. (2022). Retrieved February 2023, from https://www.qualtrics.com
  • R Core Team. (2020). R: A language and environment for statistical computing. R Foundation for Statistical Computing. https://www.r-project.org/
  • Responsive Management. (2020). Harvest of wildlife in Georgia during the 2020-2021 season.
  • Riley, S. J., Ford, J. K., Triezenberg, H. A., & Lederle, P. E. (2018). Stakeholder trust in a state wildlife agency. The Journal of Wildlife Management, 82(7), 1528–1535. https://doi.org/10.1002/jwmg.21501
  • Schroeder, S. A., Landon, A. C., Fulton, D. C., & McInenly, L. E. (2021). Social identity, values, and trust in government: How stakeholder group, ideology, and wildlife value orientations relate to trust in a state agency for wildlife management. Biological Conservation, 261, 109285. https://doi.org/10.1016/j.biocon.2021.109285
  • Shih, T.-H., & Fan, X. (2009). Comparing response rates in e-mail and paper surveys: A meta-analysis. Educational Research Review, 4(1), 26–40. https://doi.org/10.1016/j.edurev.2008.01.003
  • Singh, V. K., Piryani, R., Uddin, A., & Waila, P. (2013). Sentiment analysis of movie reviews: A new feature-based heuristic for aspect-level sentiment classification. 2013 International Mutli-Conference on Automation, Computing, Communication, Control and Compressed Sensing (IMac4s), 712–717. https://doi.org/10.1109/iMac4s.2013.6526500
  • Stedman, R. C., Connelly, N. A., Heberlein, T. A., Decker, D. J., & Allred, S. B. (2019). The end of the (research) world as we know it? Understanding and coping with declining response rates to mail surveys. Society & Natural Resources, 32(10), 1139–1154. https://doi.org/10.1080/08941920.2019.1587127
  • Walston, J. T., Lissitz, R. W., & Rudner, L. M. (2006). The influence of web-based questionnaire presentation variations on survey cooperation and perceptions of survey quality. Journal of Official Statistics, 22(2), 271–291.
  • Westlake, S. M., & Hunt, K. M. (2021). Human dimensions of pollinator conservation: The development and testing of survey measures for best management practice adoption. Society & Natural Resources, 34(4), 467–483. https://doi.org/10.1080/08941920.2020.1843744

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.