Award Information
Description of original award (Fiscal Year 2023, $2,500)
This entry proposes to use multi-level regression with post-stratification (MRP) and validates its use with a series of simulations. MRP is a robust methodology for generating small area estimations with relatively small sample sizes -- even in geographies without any survey responses.
Team members included Joshua McCrain, Kaylyn Jackson Schiff, Ian Adams, and Daniel S. Schiff.
This entry won fifth prize in the category 1 nonprobability survey competition.
Similar Awards
- Real-world Engagement & Turnover Analysis to Inform New Solutions (RETAINS): An Evidence-Based Policing Workforce Study
- Developing Subadult Sex Estimation Standards Using Adult Morphological Sex Traits and an Ontogenetic Approach
- Social Construction of Hate Crime in the U.S.: A Factorial Survey Experiment