U.S. Farmer Solar Adoption Survey and Replication Workflow

This replication archive by Graham Diedrich (2026) contains survey data and statistical code exploring how U.S. agricultural producers evaluate solar energy adoption. The collection includes raw survey responses, derived analytic datasets, and a complete R-based workflow for reproducing manuscript findings. It specifically focuses on identifying distinct decision-making styles among farmers regarding renewable energy technology.

Use Cases

• Analyzing farmer evaluation styles using the provided survey response variables
• Reproducing statistical models of solar adoption using the included R scripts
• Studying the application of MICE imputation techniques on agricultural social science datasets

Strengths

• Includes full R replication workflow from raw data to final manuscript figures
• Provides imputed analytic datasets using MICE to handle missing survey values
• Contains a master replication file for sequential execution of all scripts

Limitations

• Sample size and specific response rates are not detailed in the metadata
• Geographic distribution within the U.S. is not specified, potentially introducing regional bias
• Relies on self-reported survey data which may be subject to social desirability bias

Provenance

Source

Graham Diedrich, Harvard Dataverse

Collection Method

Survey

Freshness

Last updated March 2026.

Geography

United States