RIM weighting
RIM weighting is used when you wish to provide weighting for more than one variable to achieve an even distribution of results across an entire dataset. It can also be used to produce an analysis in which the proportion of respondents in your sample is adjusted to match more closely to the proportion in the […]
Using RIM weighting to balance sample proportions
Balancing the sample of data responses allows you to adjust the proportion of respondents in your sample to match more closely the proportion in the target population. This target may align the demographics of the respondents to those in a census or an industry benchmark. For example, you can balance the age of respondents to […]