126 – 126 - Interpreting Nonprobability Samples: Discoveries and Challenges
Exploring Nonprobability Methods with Simulations from a Common Data Source: Culture and Community in a Time of Crisis
Jennifer Benoit-Bryan
Slover Linett Audience Research
Survey researchers have proposed approaches to estimation from nonprobability samples, and have examined properties of estimators using case studies and Monte Carlo simulations. For this JSM session, we have asked three groups of researchers to apply their methods on a common set of simulations. This paper provides background on the data source, Culture and Community in a Time of Crisis (CCTC), and the design of the Monte Carlo simulation. CCTC is one of the largest surveys of cultural attendees ever conducted with over 100K respondents. It contains a wealth of behavioral and attitudinal observations that makes it ideal for simulation purposes. We provide background on some of the key variables that will be used to evaluate nonprobability methods. Additionally, we go over the steps used to construct probability and nonprobability samples from CCTC records that act as the population from which both types of samples are selected.