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Data, code, and outputs from: Soil Health and Well-Being: Developing a reliable and valid psychometric scale to measure intangible benefits and social outcomes of agroecosystem management

Published by Agricultural Research Service | Department of Agriculture | Catalog Last Checked: August 03, 2026 at 05:03 PM | Dataset Last Updated: July 20, 2026
This data item consists of the data collection and analysis for creating the 18-item Soil Health Well-Being index. The tool is presented and reported on in: Friedrichsen, C., Hammond Wagner, C. R., Pelinski, H. and Jones, W. D. (2026). Soil Health and Well-Being: Developing a reliable and valid psychometric scale to measure intangible benefits and social outcomes of agroecosystem management. Accepted at Environmental and Sustainability Indicators. Data archival consists of data, R scripts, and R projects for the analysis of two surveys of self-identified agricultural producers who are also federal employees with the United States Department of Agriculture.Methods for data collection and analysis: Expert opinions were collected in two phases on potential soil health well-being index items to inform item selection to test for inclusion in the index. Then, two rounds of survey data collection were completed with a sample of USDA employees who also self-identify as agricultural producers. The survey included 81 potential index items for the soil health well-being index, existing well-being indices to evaluate agriculture and general well-being, questions on adoption of soil health practices, and farmer demographic questions. The first survey was fielded in June 2024 and the second in November 2024. The first survey dataset served to set the structure of the index tool and was analyzed using exploratory factor analysis. The second survey dataset confirmed the structure of the index tool using confirmatory factor analysis. A number of tests were run for content and construct validity, including differentiation between known groups using t-tests and correlations, as well as comparison with pre-existing tools using correlation analysis to evaluate the robustness of the index.Instrument- or software-specific information needed to interpret the data: R statistical softwareStandards and calibration information, if appropriate: None.Environmental/experimental conditions: None.Describe any quality-assurance procedures performed on the data: Data were screened to include only those respondents that identified as agricultural producers, cleaned for duplicate responses, and responses with only NAs were excluded.

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  • SHWellBeing_Analysis_AgDataCommons_Archive.zip

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