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Dec 5, 2020 at 20:00 history edited kjetil b halvorsen
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Apr 27, 2016 at 7:22 answer added shark8me timeline score: 2
Nov 9, 2015 at 17:34 comment added Scortchi An alternative to the approach suggested by @Djohnson would be to model the survey responses (or PC scores) on predictors common to the population & the survey sample, & then perform cluster analysis of the population on their predicted responses. It's swings & roundabouts of course - you wouldn't have a misclassification problem but the clusters would be less distinct.
Nov 4, 2015 at 12:48 comment added user78229 Ok...I'm assuming that the only information you have available to you is from the survey but that, at a future date, you will want to project the results from your segmentation to new, external data based on a reduced set of variables. What I'm suggesting is that you proxy the fit and (mis)classification rate for this new, external and unknown data based on the information you have now that matches the information you will have at some future date. Make sense?
Nov 4, 2015 at 12:43 comment added Figaro @DJohnson Thank you for your reply, could you please elaborate a bit more on the suggested test?
Nov 4, 2015 at 12:01 comment added user78229 Your question sounds like a concern with the projectability of the segmentation based on the full information available from the survey to external data based on the typically incomplete and poor quality information (e.g., a few demographic factors) available from large vendors such as Experian. This is an important question to answer in doing any segmentation, i.e., does it project to external data? One way to proxy this is to match the factors in your survey to the variables from the external source -- a reduced set -- and predict. The resulting misclassification error is the test
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Apr 22, 2015 at 21:08 history tweeted twitter.com/#!/StackStats/status/590985594546827264
Apr 22, 2015 at 16:14 answer added StatguyUser timeline score: 0
S Apr 22, 2015 at 12:58 history bounty started Figaro
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Apr 20, 2015 at 11:43 history asked Figaro CC BY-SA 3.0