R - Exploratory Factor Analysis Lecture 1

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  • Опубликовано: 16 сен 2024

Комментарии • 10

  • @antoniosapostolakis7266
    @antoniosapostolakis7266 5 лет назад +2

    Many thanks for the great lectures! They are extremely helpful.

  • @googledude5649
    @googledude5649 3 года назад +1

    you're cool thanks !

  • @petepittsburgh
    @petepittsburgh 8 лет назад

    There is a psych print method to help with the output. example: print(fa_mdl, cut=0.299, sort=TRUE)

  • @Sycolog
    @Sycolog 4 года назад +1

    I cannot understand the title of the paper at 6:08 "exploring times[???] factor analysis machine" what is the actual title of the paper?

    • @StatisticsofDOOM
      @StatisticsofDOOM  4 года назад

      I think you mean this paper: quantpsy.org/pubs/preacher_maccallum_2003.pdf :)

  • @maryampedram335
    @maryampedram335 7 лет назад

    Dear Dr. Erin. Thanks a lot for the great video about EFA. The only thing that I cannot understand is that how we find which item is not overloading and we should delete it from the list. I remember that in one of your video you deleted Question 23, but I didn't get it why? please explain more if it is possible. I have a big assignment about big five factor and I should use EFA for it. I really appreciate your time :). Miriam

  • @yuliaegorova589
    @yuliaegorova589 4 года назад

    So if I have a correlation between items that is >.8, should I drop one of them? Can you suggest any paper or book that talks about it?

    • @StatisticsofDOOM
      @StatisticsofDOOM  4 года назад +1

      Generally in EFA highly correlated items are expected, so I wouldn't drop them unless they are perfectly correlated.

  • @karenboyd1240
    @karenboyd1240 6 лет назад

    On the communality diagram slide (slide 7), did you mean to say that that variable 1 had a communality of 1 and a uniqueness of 0, because it was completely overlapping? You sad it was variable 3, but variable 3 seems to have some area that doesn't overlap.

    • @StatisticsofDOOM
      @StatisticsofDOOM  6 лет назад

      Yes that's correct, I think I thought three was the one underneath, but it would be variable 1 that is completely overlapped.