Mobile Surveys Are Better in One Surprising Way: You Get More Revealing Personal Information

Mobile Surveys Are Better in One Surprising Way: You Get More Revealing Personal Information

Contrary to some widely held beliefs that mobile devices are a barrier to survey participation, a majority of survey respondents nowadays fill them out on phones, rather than on desktops, laptops, or tablets. Research has amply documented that the quality and reliability of data collected via mobile devices is comparable to data collected on desktops.…

Why You Should Be Using Conjoint Analysis

Why You Should Be Using Conjoint Analysis

If you crave a deep understanding of why your customers choose one product, concept, or message over another, you might be thinking that deep-dive qualitative research is best. Possibly it is, but you should also be considering a research method at the opposite end of the spectrum: conjoint analysis. Conjoint analysis is one of the…

Why You Should Avoid Numeric Response Scales in Surveys

Why You Should Avoid Numeric Response Scales in Surveys — They Seem Scientific, but They Are Actually Ambiguous and Difficult to Report

If you read our article a few weeks ago about COVID-19, there were probably several statistics we cited that you (or maybe a colleague) misinterpreted. That’s because instead of reporting the percentage of respondents who did or said something, we reported the mean of all survey respondents’ answers to a numeric scale. We had no…

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…