Dear all,
I am currently working with a data set, where we have sampling weights and missing data. To address this issue, I used mean replacement and selected the sampling weights in the weighting vector. I was expecting the mean replacement to also use the sampling weights. However, if I am not mistaken, smartPLS does use unweighted means for mean replacement (i.e., the mean replacement does not take the sampling weights into account). I was wondering if there is a reason to favor unweighted or weighted means in the mean replacement?
Best,
Jannik
Mean replacement and weighting vector
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- SmartPLS Developer
- Posts: 1298
- Joined: Tue Mar 28, 2006 11:09 am
- Real name and title: Dr. Jan-Michael Becker
Re: Mean replacement and weighting vector
That is a good question. Thank you for raising this issue. I am not sure anymore whether it had a substantive reason or whether it is just a design issue. We will check and also discuss this in the next meeting with the software designer.
Dr. Jan-Michael Becker, BI Norwegian Business School, SmartPLS Developer
Researchgate: https://www.researchgate.net/profile/Jan_Michael_Becker
GoogleScholar: http://scholar.google.de/citations?user ... AAAJ&hl=de
Researchgate: https://www.researchgate.net/profile/Jan_Michael_Becker
GoogleScholar: http://scholar.google.de/citations?user ... AAAJ&hl=de