Data is the foundation of any research. To ensure accurate and reliable outcomes, researchers need to craft questions that are neutral, objective, and...
When conducting user research, your recruitment screener has a pivotal role to play. In short, it’s your key to finding the best possible participants...
Early stages of a new marketing ecosystem powered by personal data.
Data doesn’t have any pure meaning; it must be interpreted.
How to ensure research with lesser-heard groups is valid, successful, and, importantly, positively impacts them.
To successfully harness diversity in market research you need to be inclusive, sophisticated, and considered.
Four ways to develop cultural intelligence and increase representation of diverse groups in the research industry.
Joel Rubinson details the great risks if we abandon the use of stat testing of marketing data.
Questions marketers can ask themselves to expose biases and assumptions that inhibit the marketing process
Move beyond biases to discover deeper, credible consumer insights.
To understand consumers holistically, we must look at a variety of contexts with their corresponding behaviors, cognitions, and emotions.
If given the right tools, bias can be overcome.
Bias impacts ALL of us, not just voters and consumers, but also pollsters, researchers, and decision makers.
The Item Count method can be used to reduce the effects of social desirability distortion.
Allan Fromen predicted a Trump presidency and out-forecasted all the experts. Or did he?
The recent US election landed a crushing blow to the research industry’s credibility. So what’s to be done?
Concerns about panel quality are hardly new. But they are now boiling over into the public domain.
What are the implications for market research of the results from the Reproducibility Project?
Research-on-research is a good thing, but not if we build our biases into the design.
You see research findings and statistics quoted by the media all the time. Here’s why you’d better be careful before you actually use them.
While we value privacy, the effort required to act is too great. We’d all be more mindful of privacy, if only it were the default option.
Unbiased is better than biased, all else being equal. But all else is NOT equal far more often than taken into considereation.
With all of the changes in MR, we can’t forget the importance of basic skills. Without the basics, all the shiny new stuff doesn’t work.
Our reliance on IQ and educational qualifications as an indicator of competence can be a recipe for disaster.
One of the fundamental tenets of research is not to affect the research subjects (and results) by the simple act of doing the research.
It’s imperative to understand what type of skew your selected methodology may be bringing to the data.