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, Community and Development in Rural America
- Period Covered: 10/01/2014 to 09/30/2015
- Date of Report: 01/29/2017
- Annual Meeting Dates: 02/19/2015 to 02/20/2015
Participants
Glenn Israel, Chair (Florida) gdisrael@ufl.edu; Lou Swanson, Director of Extension (Colorado State) Louis.Swanson@ColoState.edu; Billy McKim (Texas A & M) brmckim@tamu.edu; Don Dillman (Washington State) dillman@wsu.edu; Fred Lorenz (Secretary: Iowa State) folorenz@iastate.edu; Todd Rockwood (Minnesota) rockw001@umn.edu; Steve Swinford (Montana State) swinford@montana.edu; Zhu, Zhengyuan (Iowa State) zhuz@iastate.edu; Pina, Manuel (Texas A & M)m-pin@tamu.edu; Hau Qin (U Missouri) qinh@missouri.edu; Jackie Hill (Texas A & M)jackie.hill@ag.tamu.edu; Mobly, Mallory (Texas A & M) mallory.mobly@ag.tamu.edu; Bishop, Danielle (Texas A & M) bishop.danielle12@gmail.com; Stewart, Ashley (Texas A & M) ashley.stewart@ag.tamu.edu; Newberry Milton III (Florida)miltonius3@ufl.edu; Constantine, Melissa (Minnesota) cons0026@umn.edu
Accomplishments
See meeting minutes.
Impacts
- Recipients of the research findings and outreach activities of coordinating committee members have more accurate information for making decisions about conducting surveys and/or assessing the strengths and weaknesses of survey data. This, in turn, can contribute to appropriate project- and policy-level decisions.
Publications
Dillman, Don A. Jolene D. Smith and Leah Christian. 2014. Internet, Phone, Mail and Mixed-Mode Surveys: The Tailored Design Method. The 4th edition. John Wiley” Hoboken, NJ.
Stern, Michael J., Ipek Bilgen and Don A. Dillman. 2014. The State Of Survey Methodology: Challenges, Dilemmas ,and new Frontiers in the Era of the Tailored Design. Field Methods (August) 26: 284-301
Edwards, Michelle L., Don A. Dillman and Jolene D. Smyth. 2014. An Experimental Test of the Effects of Survey Sponsorship on Internet and Mail Survey Response. Public Opinion Quarterly. 78 (3): 734-750.
Qin, C.G. Flint and A.E. Luloff. 2015. Tracing temporal changes in the human dimensions of forest insect disturbance on the Kenai Peninsula, Alaska. Human Ecology. doi:10.1007/s10745-01409717-x.
David, M.B., C.G. Flint, L.E. Gentry, M.K. Dolan, G.F. Czapar, R.A. Cooke, and T. Lavaire. 2014. Navigating the socio-bio-geo-chemistry and engineering of nitrogen management in two Illinois tile-drained watersheds. Journal of Environmental Quality. doi:10.2134/jeq2014.01.0036.
DeDecker, J., J. Masiunas, A.S. Davis, and C.G. Flint. 2014. Weed management practice selection among Midwest U.S. Organic Growers. Weed Science 62: 520-531.
Celio, E., C.G. Flint, P. Schoch, and A. Grêt-Regamey. 2014. Farmers' perception of their decision-making in relation to policy schemes: A comparison of case studies from Switzerland and the United States. Land Use Policy 41: 163-171.
Hendee, J. and C.G. Flint. 2014. Incorporating cultural ecosystem services into forest management strategies for private landowners: An Illinois Case Study. Forest Science. http://dx.doi.org/10.5849/forsci.13-710.
Maurer, K. M., Stewart, T. W., and Lorenz, F. O. 2014. Direct and indirect effects of fish on invertebrates and tiger salamanders in prairie pothole wetlands. Wetlands, 34 (4), 735 – 745.
Qin, H., L. Davis*, M. Mayernik, P. Romero Lankao, J. D’lgnazio, and P. Alston. 2014. Variables as currency: Linking meta-analysis research and data paths in sciences. Data Science Journal 13: 158-171.
Romero-Lankao, P., S. Hughes, H. Qin, J. Hardoy, A. Rosas-Huerta, R. Borquez, and A. Lampis. 2014. Scale, urban risk and adaptation capacity in neighborhoods of Latin American cities. Habitat International 42: 224-235.
A cross-sampling method for estimating abundance and detectability for aggregated population with varying local abundance,” S. Zhou, N. Klaer, R. Daley, Z. Zhu, M. Fuller, and A. Smith, ICES Journal of Marine Science, 2014, 71(9): 2436-2447.