8 minutes read
8 minutes read
9 minutes read
In the world of surveys, it is very common that our acquired responses need to be weighted in order to achieve a sample that is representative of some target population. This process of weighting simply consists of assigning a weight (a.k.a. factor) to each respondent and calculating all survey results as a weighted sum of respondents.
For example, we might have surveyed 100 male respondents and 150 female respondents but we're targeting a male/female ratio of 48%/52%. In this simple case, we could achieve the target ratio by weighting the male responses by a factor of
0.48 / (100 / (100 + 150)) = 1.2 and weighting the female responses by
0.52 / (150 / (100 + 150) = 0.867. The technical term for this method of computing weights is Post-Stratification.
However, in a more complex scenario, where we have many different measurable demographic targets, how can we determine weights for all the survey respondents?
5 minutes read
7 minutes read
Our CEO and Co-Founder, Rodolphe Barrere, explains how Social Sampling is revolutionizing the way consumer research is done in this article for Forbes.
10 minutes read
The hardest, but most rewarding, part of sampling both consumer and market research is finding the most relevant and honest participants who can be targeted in a niche way. In doing so, we can meet the time constraints of modern-day sampling.
6 minutes read