I have a stratified random sample based on sampling frame formed from our CRM systems data.
Now when I look responses in different strata they seem to differ. Some stratas have much higher response rate.
My survey variables are mostly preference related, there are few single value answers and many multi value answers.
Should I do some calibration based on weighted inverses of inclusion probabilities so that answers in stratas where response rate is lower will get higher weight when reporting results?