Sampling for Concept Testing and Innovation

Many assume that rigorous market research always works with random samples or probability samples. This assumption is not true. There are many studies that require purposive sampling instead. Purposive sampling involves finding people with specific characteristics or qualities, even if they do not fully represent the whole population, because these specific people can provide unique…

Survey Fraud Is Eerily Like AI Synthetic Data. So How Will We Know the Difference?

I became curious last week about what happened to those research people charged with fraud last year for selling fake panelists to complete market research surveys. One by one they are pleading guilty. But there was something much more interesting for me than learning about their guilty pleas. It was the “thought experiment” it provoked…

Genetics Affect Whether You Take Surveys

Despite having been on the front lines of social research for so many years, interviewing respondents personally and eliciting data through surveys, I still feel somewhat surprised and disbelieving that people really want to participate in research.  But they do.  Sometimes eagerly.  Almost always truthfully.  Surely, my surprise stems from my own reluctance to fill…

Conscientious and Agreeable Survey Respondents May Be Skewing Your Data

There are three important characteristics of people who “satisfice” on surveys: They are less conscientious They are less agreeable They have different cognitive skills The first two refer to dimensions of the Big Five personality traits. Conscientious people are efficient and organized vs. extravagant or careless. Agreeable people are friendly and compassionate vs. critical and…

Finding Fraud in Public Polls: Our AAPOR Presentation

Finding Fraud in Public Polls: Our AAPOR Presentation

Versta Research is presenting this week at the 76th annual conference of the American Association for Public Opinion Research (AAPOR). The conference is being held virtually from May 11 to 14, 2021. The presentation is called Finding Fraud in Public Polls: Employing Semantic Network-Based Methods for Identifying Fraud in Online Sampling. It is a reflection…