6. SEM | SPSS AMOS - Factor Loadings, Model Fit, and Modification Indices - Research Coach

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  • เผยแพร่เมื่อ 1 ธ.ค. 2024

ความคิดเห็น • 27

  • @Chopparinaresh
    @Chopparinaresh 3 ปีที่แล้ว +1

    Really Great Treasure sir. Ty

  • @Alhamzah_F_Abbas
    @Alhamzah_F_Abbas 2 ปีที่แล้ว +1

    Very informative video prof. thank you. in PLS, do we need to check the model fit too? if yes how can we do it?.

    • @researchwithfawad
      @researchwithfawad  2 ปีที่แล้ว +1

      Thanks. I m glad you liked it. For Model fit, please refer to
      www.smartpls.com/documentation/algorithms-and-techniques/model-fit/

    • @Alhamzah_F_Abbas
      @Alhamzah_F_Abbas 2 ปีที่แล้ว

      @@researchwithfawad Thank You so much. If you don’t mind to get the slides of this video. I will be very appreciated

  • @Frida-Marketeer
    @Frida-Marketeer ปีที่แล้ว

    Excellent video! Thank you Prof! 👏 How can we extract on Amos detailed model fit for each construct? Thanks

    • @researchwithfawad
      @researchwithfawad  ปีที่แล้ว +1

      Pleasure. I am glad you liked it. To do so, you need to perform CFA on each model separately and then have the full measurement model.

  • @josiahchan6858
    @josiahchan6858 ปีที่แล้ว

    Hello Sir, great info! Regarding "Setting the Metrics", since the first indicator of construct is constrained to 1, t-value of that indicator is not shown in AMOS. I can only find the t values of other indicators but not the first one. However, many paper I see do report t values of all indicators, so how can they do that? Can you share how to solve this problem? Thank you

    • @researchwithfawad
      @researchwithfawad  ปีที่แล้ว

      Thanks. I am glad you liked it. If you want to report t-values for all indicators, you can change the reference indicator to another indicator in your model and then re-run the analysis. This will provide the t-value for the original reference indicator.

  • @Divya_new
    @Divya_new 11 หลายเดือนก่อน

    Thank you, sir. Sir, how do we interpret the power of the model?

    • @researchwithfawad
      @researchwithfawad  11 หลายเดือนก่อน

      Power or fit?

    • @Divya_new
      @Divya_new 11 หลายเดือนก่อน

      Sir, for my exact doubt.. I am mentioning the comment I got from the reviewer. I request if you could suggest in this regard. Kindly find that the comment is "the data analysis method was a good choice, but it was not done correctly, especially determining the power of the model".@@researchwithfawad

    • @researchwithfawad
      @researchwithfawad  11 หลายเดือนก่อน

      Power analysis is through G power for sample size calculations.

    • @Divya_new
      @Divya_new 11 หลายเดือนก่อน

      Thank you sir

  • @jasonbale674
    @jasonbale674 3 หลายเดือนก่อน

    please could you share the pdf of this lecture

    • @researchwithfawad
      @researchwithfawad  3 หลายเดือนก่อน

      I hope to upload them soon on my website.

  • @shadeel9293
    @shadeel9293 2 ปีที่แล้ว

    Dear Sir, is there any video for model fit using Smartpls?

    • @researchwithfawad
      @researchwithfawad  2 ปีที่แล้ว +1

      No not yet. But soon in Shaa allah

    • @dfsalma9664
      @dfsalma9664 ปีที่แล้ว

      @@researchwithfawad we are still waiting that video 😅

  • @sphinxspirit
    @sphinxspirit ปีที่แล้ว

    Thanks sir for the video, good explanation. May I know can i have a copy of the slides so i could indicate some notes on it?

  • @SubscriptionUnboxing
    @SubscriptionUnboxing 2 ปีที่แล้ว

    Do you have a reference that suggests the criteria of 0.70 is best for factor loadings? Thanks!

    • @researchwithfawad
      @researchwithfawad  2 ปีที่แล้ว +1

      You may refer to any SEM book. For instance A Primer on Structural Equation Modelling using PLS-SEM by Hair et al.

  • @nissu...5673
    @nissu...5673 2 ปีที่แล้ว

    Hello,
    Sir if we face the model fit issue can we covariance item within construct or remove problematic items? Which is best if we proceed for SEM analysis, nd if we delete items than how many can we, even factor loading for every item is above .7, Plz reply

    • @researchwithfawad
      @researchwithfawad  2 ปีที่แล้ว +1

      Please delete items only if absolutely necessary. Otherwise use MI to covary items of an individual construct.

    • @nissu...5673
      @nissu...5673 2 ปีที่แล้ว +1

      @@researchwithfawad Assalamualaikum sir thank you so much for replying. Sir i do covary in modification indices but still my GfI is not good and someone told me to not go for covary as it will create problem in Further SEM analysy, sir what to do now plz suggest

    • @researchwithfawad
      @researchwithfawad  2 ปีที่แล้ว

      No need to report GFI, look at CFI, TLI, SRMR, RMSEA