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I wonder if it is possible to use SEMinR to perform Weighted PLS taking into account the already available weights from a complex survey that used stratified sampling. Today I was introduced to two articles (doi: [10.1016/j.emj.2016.06.009] and https://doi.org/10.1080/14783363.2020.1754125) that showed the importance of using WPLS to analyze data from such surveys. The WPLS algorithm that was used in both articles was implemented in SmartPLS. Currently there is the lavaan.survey package in R which adjusts the results of lavaan objects taking into account the survey weights. Unfortunately, I was not able to find another package or means to implement the WPLS algorithm that takes the sampling design into account. I would be grateful if anyone who has already mastered a similar problem could share their advice on this issue.
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Dear all,
I wonder if it is possible to use SEMinR to perform Weighted PLS taking into account the already available weights from a complex survey that used stratified sampling. Today I was introduced to two articles (doi: [10.1016/j.emj.2016.06.009] and https://doi.org/10.1080/14783363.2020.1754125) that showed the importance of using WPLS to analyze data from such surveys. The WPLS algorithm that was used in both articles was implemented in SmartPLS. Currently there is the lavaan.survey package in R which adjusts the results of lavaan objects taking into account the survey weights. Unfortunately, I was not able to find another package or means to implement the WPLS algorithm that takes the sampling design into account. I would be grateful if anyone who has already mastered a similar problem could share their advice on this issue.
Best wishes,
Edison Vidal
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