Q for Weighting
The complete solution for weighting survey data
Q contains all the tools required to weight your sample to represent the population and to use this weight appropriately in your analysis and reporting.
Q supports cell weighting. For example, if you know that 1.2% of your population are males aged 18 to 34 living in Texas, you can weight your data so that all your analyses reflect this.
Construct weights even when you do not know the interlocked targets. For example, if you don’t know how many males aged 18 to 34 live in Texas, but you do know how many males are in the population, how many people aged 18 to 34, and how many Texans, you can still create a weight.
Traditional weighting software only deals with categorical data. Q also supports the modern technique of calibration, which allows you to weight to a mix of categorical and numeric data (e.g., market share, average purchase consumption).
Sometimes weights generated using standard algorithms can generate weights that are too extreme (e.g., one weight of 10, another of 0.1). You can specify maximum and minimum values for weights.
The statistical tests on tables and generalized linear models (e.g., regression, driver analysis, logistic regression) address the weights via Taylor Series Linearization (i.e., they do not confuse the weighted sample size with the actual sample size).
Q is a general-purpose analysis app that does everything from crosstabs to text coding to advanced analysis, driver analysis, and segmentation.
Once you have weights, you can easily use them in all your subsequent analyses and reporting. There’s no need to use one package for creating weights and another package for analyzing them.
Automate manual tasks and create re-usable analysis and reports.
DIY advanced analysis and visualizations.
Manipulate your data with a couple of clicks.