SAES-422 Multistate Research Activity Accomplishments Report
Sections
Status: Approved
Basic Information
- Project No. and Title: WERA1010 : Improving Data Quality from Sample Surveys to foster Agricultural and Community Development in Rural America
- Period Covered: 02/19/2024 to 02/21/2025
- Date of Report: 04/04/2025
- Annual Meeting Dates: 02/20/2025 to 02/21/2025
Participants
Anaka Aiyar, University of Vermont, Anaka.Aiyar@uvm.edu Jessica Goldberger, Washington State University, jgoldberger@wsu.edu Jessica Schad, Utah State University, jessica.schad@usu.edu Greta Linse, Montana State University, greta.linse@montana.edu Anil Kumar Chaudhary, The Pennsylvania State University, auk259@psu.edu Katie McLaughlin, Oregon State University, katherine.mclaughlin@oregonstate.edu Zhengyuan Zhu, Iowa State University, zhuz@iastate.edu Roshan Nayak, Virginia Tech, roshanayak@vt.edu Edem Avemegah, Washington State University, edem.avemegah@wsu.edu Katie Dentzman, Michigan State University, dentzman@iastate.edu Kathryn Walsh, Cornell University, kbw45@cornell.edu Jason Kosakow, Federal Reserve Bank of Richmond, jason.kosakow@rich.frb.org Pierce Greenberg, Clemson University, pierceg@clemson.edu Samuel Mindes, Iowa State University, smindes@iastate.edu
Accomplishments
Annual meeting, including report-outs on results of survey methodology experiments, consultation to make surveys more effective, and discussion of contemporary issues in the survey methodology space. Significant benefit to participants in terms of improved survey instruments for research on rural and agricultural topics.
Impacts
- This project provides direct feedback to project participants on the design of surveys for research and Extension purposes, as well as an increased capacity to design and implement effective survey procedures with rural and agricultural stakeholders.
- This project increases response rates, improves data quality, and reduces the cost of conducting effective surveys
Publications
Joshi, A., Diaz, J., Chaudhary, A. K., Jayaratne, K. S. U., & Galindo, S. (2024). Enhancing effectiveness of Extension program evaluations by validating the trustworthiness of self-reported measures of Extension program outcomes. Advancements in Agricultural Development, 5(4), 59-71.
Sun, H., Berg, E., & Zhu, Z. (2024). Multivariate small-area estimation for mixed-type response variables with item nonresponse. Journal of Survey Statistics and Methodology, 12(2), 320-342.
Kosakow, J., & Greenberg, P. (2024). Testing Motivation-Based vs. Social Exchange Communication Strategies in Email Survey Recruitment. Social Science Computer Review, 08944393241308509.
Labuzzetta, C. J., & Zhu, Z. (2024). Mapping Conservation Practices via Deep Learning: Improving Performance via Hillshade Imagery, Sampling Design, and Centerline Dice Loss. Statistics and Data Science in Imaging, 1(1), 2401756.