PLS-SEM (5): PLS-SEM estimation with control variables

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This video presents inclusion of control variables in the PLS-SEM modeling. It also provides interpretation of results and shows reporting guidelines for journal articles.
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thank you so much!!! for helping me graduate from college ;;;;)

쫑꾼
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Thank you for clear explanation. Keep educated us

kartikamaharani
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Excellent video
Helpful to learn how to use the smart PLS

vijayakumargajenderan
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Thank you for the video, very helpful!

cahyakumala
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This video shows how to incorporate a control variable into PLS-SEM. We appreciate your nice words. I'm curious as to whether I should use SPSS tools to create a dummy variable for the control variable.

alauddinmohammad
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Thank you for the video. I had a question - which hypotheses results either from model 1 or 2 to take as the final hypotheses testing results?

inayahali
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In my study, I have control variables in the form of statements (Latent variable). So in this case, where should I connect it? To the dependent one only or should I connect to the mediating and moderating variable too?

darshan
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Thanks for this informative video! I have a problem, that the model fit decreases when I include control variables in the model. Should I exclude the control variables in this case?

pappmaschee
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If the demographic variables are categorical, do I need to transform them to dummy? If so, how should I include them in the model?

wipaloengbudnark
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Very helpful video. I need to know, should I also link the control variables to independent variables in the PLS model? Thank you

saramaryam
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what if the control variable is a latent construct?

reynreyn
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Sir, your video was really helpful. Thank you for this. I have a question though - If I have 2 categorical demographic variables (one with 4 categories and the second with 3 categories) that I want to include as control variables, should I include a total of 5 control variables (3(4-1) + 2(3-1))?

tusharprabhakar
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Hi Dr. This video is a godsend. Thank you for this
But in this video, you took gender as control variable, which is a nominal variable. If I want to use income level as a control variable with 3 categories (an ordinal variable), do I still need to convert it into a dummy variable and introduce 2 dummies as control variable, or I can take it as it is because it is an ordinal variable. Please help. I am stuck with my research. Thank you!

nidhibhatia
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Very nice video. I've got a question for you which that I have got a Google Scholar account that was created based on my institutional email id. If I change my current institution, then how will I retrieve my Google scholar account as my personal Gmail account does not work for Google Scholar? Thank you

ahmedalasheq