Can You Really Use AI to Create “Synthetic” Survey Respondents? Just-Published Academic Research Says No.

Can You Really Use AI to Create “Synthetic” Survey Respondents? Just-Published Academic Research Says No.

One of the weirdest new uses of artificial intelligence in market research is to create “synthetic respondents” for surveys and qualitative interviews. The idea is to use information scraped from the Internet via AI’s large language models, construct a sample of synthetic people that matches the demographics of one’s target population, and then ask those…

The Rigors of Good Research: Three Examples from Thought Leadership

The Rigors of Good Research: Three Examples from Thought Leadership

One of the biggest challenges Versta Research faced during the first year of COVID-19 was a huge and puzzling spike in the amount of fraud on research panels. We saw many organizations falling victim to this fraud. There were obviously false studies with absurdly sensational headlines being published by the media and in scientific journals.…

Forget the Math — For Good Sampling You Need Equality, Inclusion, and Representation.

Forget the Math — For Good Sampling You Need Equality, Inclusion, and Representation

In basic stats class, all of us learned about the importance of random sampling. It provides the foundation for the iron-clad mathematics of estimation, statistical significance, and margins of error. But the problem in social science, market research, and opinion polling is that random sampling (sometimes referred to as probability sampling) almost never exists. So…

The Error in Your Smartphone Surveys

The Error in Your Smartphone Surveys

Any good researcher should agonize over mode effects in surveys. Mode effects are differences in statistical estimates caused by the “mode” through which respondents take a survey. If there are mode effects, then how the survey is conducted (by telephone, online, through a smartphone app, in person, or by mail) will affect the results, requiring…