by Jeffrey Henning | Sep 6, 2016 | Blog
A probability online panel selects candidates for participation through a probability sample (typically using Address Based Sampling) and then relentlessly invites candidates to join the panel. Panelists who lack Internet access are then provided computers or tablets...
by Jeffrey Henning | Sep 3, 2016 | Blog
As part of an ongoing series of research into how consumers engage and identify with brands, Researchscape International surveyed 1,112 U.S. adults about satisfaction with the National Football League, perceptions of teams and quarterbacks, engagement with...
by Jeffrey Henning | Aug 30, 2016 | Blog
While probability sampling is rarely used with online research, it helps to keep probability sampling in mind because many of the techniques to improve the representativeness of online surveys mimic or emulate the key characteristics of probability sampling....
by Jeffrey Henning | Aug 23, 2016 | Blog
Sampling for online surveys varies greatly in technique and representativeness. Important factors to consider are types of panels, selection of participants from those panels, and how and whether to weight survey results. While demographic variables are often compared...
by Jeffrey Henning | Aug 16, 2016 | Blog
The most common question we get asked is “How many people should we survey?” The answer is at the intersection of cost and error range. Let’s tackle error range first. When we do probability surveys of house lists, here is the margin of error...
by Jeffrey Henning | Aug 8, 2016 | Blog
“Mirror, mirror, on the wall, how farest the customer, if at all?” In a SurveyGizmo webinar last week, Marni Zapin, of Rumble Research, shared the results of a mirror analysis she conducted for a health supplements company. Her client wanted her to...
