Confirmatory factor analysis in AMOS | Part 2

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  • Опубликовано: 21 авг 2024

Комментарии • 24

  • @SG-cm7bt
    @SG-cm7bt Год назад +4

    Hi! I am a doctoral candidate and used your videos for my dissertation. I tried so many other videos, books, and resources. Yours was the only helpful one. Thank you soooooo much.

  • @Clonerianyambali
    @Clonerianyambali 2 года назад

    Handy video. I am doing CFA with Amos and this video is so helpful.

  • @engrvarsi3774
    @engrvarsi3774 Год назад

    Generous Mentor!
    Love you sir!
    Of course subscribed.

  • @mic4308
    @mic4308 3 года назад +2

    Very helpful content explaining the setting (Analysis Porperties) and especially for fit statistics (HOELTER > 200?). I was so glad to hear about this video includes explainations of Standardized Regression Weights and Covariances as well. Appreciated again if you could list all authors and references mentioned in this video.

    • @VahidAryadoust
      @VahidAryadoust  3 года назад

      Some of the authors are cited in the book chapter published in the following book:
      See chapter 5. Structural equation modeling in language assessment (Xuelian Zhu, Michelle Raquel & Vahid Aryadoust)

  • @ducduong80
    @ducduong80 3 года назад +1

    Thank you very much, your explanations are great!

  • @nadeejadodamgoda2669
    @nadeejadodamgoda2669 2 года назад

    Thank you. Very helpful content.

  • @rachelTIS
    @rachelTIS 4 года назад +1

    This hands-on instruction is easy to follow up. Why didn't it come up before my stats assignment? :-)

  • @mahnazbp1204
    @mahnazbp1204 5 месяцев назад

    Perfect. Thank you for sharing this great video

  • @cb2497
    @cb2497 3 года назад

    Thank you for the helpful content. Can you please give us a video or advice on how to bring fit in more complex models in path analysis.

    • @VahidAryadoust
      @VahidAryadoust  3 года назад

      Please see the rest of the videos on SEM in this list from this link: ruclips.net/video/HKs9vIkpIXE/видео.html

  • @chokriimed8419
    @chokriimed8419 2 года назад

    Thank you for the helpful content..
    If some items are not normally distributed (5 of 18), what should be chose for discrepancy? Knowing that p CMIN =0,000, all other indicators showing a good model fit when we use maximum likelihood

    • @VahidAryadoust
      @VahidAryadoust  2 года назад +1

      Maximum likelihood is not an appropriate method if items deviate from normality.

    • @chokriimed8419
      @chokriimed8419 2 года назад +1

      @@VahidAryadoust Thank you a lot for your valued assistance

  • @javeriayounus4045
    @javeriayounus4045 2 года назад

    After conducted analysis my model is not showing any values

  • @morrisjohni.lobetos7874
    @morrisjohni.lobetos7874 2 года назад

    I am a beginner with SEM. How can I make adjustments to my model to determine the best fit model for my data?

    • @VahidAryadoust
      @VahidAryadoust  2 года назад

      There are many ways; start off by removing the paths with non-significant path coefficients and/or variables; OR first remove outliers and then re-ran the model; etc.

    • @morrisjohni.lobetos7874
      @morrisjohni.lobetos7874 2 года назад +1

      @@VahidAryadoust Thanks a lot

  • @javeriayounus4045
    @javeriayounus4045 2 года назад

    What if the data is not normally disctributed

    • @VahidAryadoust
      @VahidAryadoust  2 года назад

      Use another parameter estimation method, other than maximum likelihood method.

    • @javeriayounus4045
      @javeriayounus4045 2 года назад

      @@VahidAryadoust Many thanks

  • @engrvarsi3774
    @engrvarsi3774 Год назад

    Respected Sir, would you please suggest me a book?

    • @VahidAryadoust
      @VahidAryadoust  Год назад +1

      I suggest chapter 5 of the following book: www.routledge.com/Quantitative-Data-Analysis-for-Language-Assessment-Volume-II-Advanced-Methods/Aryadoust-Raquel/p/book/9781032091440

    • @engrvarsi3774
      @engrvarsi3774 Год назад

      @@VahidAryadoust
      You are very generous sir.
      Can't find words to thank you.