by Jeffrey Henning | Oct 25, 2016 | Blog
Probability sampling remains the gold standard for producing results that are representative of target populations. So much so that non-probability methods typically try to emulate or mimic probability sampling where possible: Positioning a panel survey as a random...
by Jeffrey Henning | Oct 18, 2016 | Blog
Where river sampling is typically a supplemental source of responses to panel surveys, intercept surveys gather all their responses by interrupting traffic to web sites. CivicScience, Google Consumer Surveys (GCS) and RIWI each intercept people in their everyday use...
by Jeffrey Henning | Oct 11, 2016 | Blog
People who are willing to be members of panels differ in many ways from people who aren’t. This too lessens the representativeness of panel research. For instance, in a recent CASRO webinar, NPD Group reported that 70% of their panel members are introverted, compared...
by Jeffrey Henning | Oct 4, 2016 | Blog
One of the “magic” techniques for improvement representativeness is sample matching. The easiest way to think of sample matching is that is quota sampling on steroids. Now you are not trying to fill a cell of 50 respondents who are women aged 55+; you are trying to...
by Jeffrey Henning | Oct 2, 2016 | Blog, Consumer Surveys, MRX Surveys, Sports Surveys
In our survey of sports superstitions, we thought that respondents would be more willing to discuss other people’s superstitions than their own. In fact, the average answer was 13 words long when discussing others, compared to just 9 words long when discussing...
by Jeffrey Henning | Sep 27, 2016 | Blog
Given that effective sample size declines dramatically when the characteristics of the sample don’t approximate national representativeness, one method of improving non-probability sampling is quota sampling, dividing the sample into cells and recruiting to fill those...
