R - Exploratory Factor Analysis Lecture

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  • เผยแพร่เมื่อ 26 พ.ย. 2024

ความคิดเห็น • 14

  • @gokaykirtil8607
    @gokaykirtil8607 3 ปีที่แล้ว +1

    Erin you are one of a kind ! checked out many books& articles on SEM, but did not show much progress, your presentations are truly pragmatic and so instructive ! Thank you !

  • @drryangagnon
    @drryangagnon 2 ปีที่แล้ว +1

    By golly this is clean. Nice work.

  • @ALI_B
    @ALI_B 3 ปีที่แล้ว +1

    goodness vs. badness of fit. Very nice way of simplifying

  • @RinoLovreglio
    @RinoLovreglio 3 ปีที่แล้ว +1

    I love your questionnaire!
    Great video as always :)

  • @hannahalveshagy4141
    @hannahalveshagy4141 ปีที่แล้ว

    Would you recommend z scoring items if they are from multiple questionnaires and/or are lab task data?

    • @StatisticsofDOOM
      @StatisticsofDOOM  ปีที่แล้ว

      No, generally you do not standardize the data.

    • @hannahalveshagy4141
      @hannahalveshagy4141 ปีที่แล้ว

      @@StatisticsofDOOM Thank you! I was just reading more about this and that makes sense. I am using multiple measures in addition to lab tests. Would it make most sense to use the composites of the surveys or include all of the items for each of the various separate surveys in addition to the lab based data? sorry for all the questions.

    • @StatisticsofDOOM
      @StatisticsofDOOM  ปีที่แล้ว

      @@hannahalveshagy4141 Use each question individually for EFA.

  • @rodrigofleao31
    @rodrigofleao31 2 ปีที่แล้ว +1

    Muito obrigado pelos vídeos! =)