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

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  • Опубликовано: 9 фев 2025

Комментарии •

  • @쫑꾼
    @쫑꾼 2 года назад +1

    thank you so much!!! for helping me graduate from college ;;;;)

  • @kartikamaharani338
    @kartikamaharani338 Год назад +1

    Thank you for clear explanation. Keep educated us

  • @cahyakumala1620
    @cahyakumala1620 2 года назад +1

    Thank you for the video, very helpful!

  • @darshan1480
    @darshan1480 6 месяцев назад

    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?

  • @vijayakumargajenderan657
    @vijayakumargajenderan657 3 года назад

    Excellent video
    Helpful to learn how to use the smart PLS

  • @inayahali9691
    @inayahali9691 Год назад

    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?

  • @alauddinmohammad1517
    @alauddinmohammad1517 3 года назад +1

    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.

  • @rashidnidalsabri1937
    @rashidnidalsabri1937 9 месяцев назад +1

    Very useful
    Thanks

  • @wipaloengbudnark6800
    @wipaloengbudnark6800 3 года назад

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

  • @pappmaschee0153
    @pappmaschee0153 2 года назад

    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?

  • @sahandmoradi620
    @sahandmoradi620 3 года назад +1

    Thank you! Very Helpful

    • @RESEARCHHUB
      @RESEARCHHUB  3 года назад

      thank you, pls share with your friend and colleague

    • @sahandmoradi620
      @sahandmoradi620 3 года назад

      @@RESEARCHHUB sure

  • @reynreyn9900
    @reynreyn9900 3 года назад

    what if the control variable is a latent construct?

  • @saramaryam5
    @saramaryam5 3 года назад +1

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

    • @RESEARCHHUB
      @RESEARCHHUB  3 года назад +2

      No, control variable should be linked only with endogenous variables but not with exogenous (or independent) variables.

    • @saramaryam5
      @saramaryam5 3 года назад

      @@RESEARCHHUB Thank you.

  • @nidhibhatia7362
    @nidhibhatia7362 3 года назад

    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!

  • @tusharprabhakar9653
    @tusharprabhakar9653 3 года назад

    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))?

  • @ahmedalasheq5926
    @ahmedalasheq5926 3 года назад

    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

    • @RESEARCHHUB
      @RESEARCHHUB  3 года назад

      You can update to another institutional email

  • @naginmarathe7026
    @naginmarathe7026 Год назад

    हिंदी मो नाही का