Exploratory Factor Analysis (EFA)

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  • Опубликовано: 21 авг 2024

Комментарии • 18

  • @j.c.2437
    @j.c.2437 3 года назад +1

    Wow, this is all that I needed! Really helps put the literature in context!

  • @briancanutedotcom
    @briancanutedotcom 10 лет назад +1

    Excellent treatment of the topic, especially for use in preparation for an undergraduate course on data management. Thank you for sharing it.

  • @hofical
    @hofical 8 месяцев назад

    Thank you, this was very helpful!

  • @JialiZhu
    @JialiZhu 8 лет назад +1

    Very clear example ! Really helpful ! Thank you very much !

  • @PanWu
    @PanWu 10 лет назад +1

    This is so helpful! Thank you for sharing the video!

  • @maricelmanongdo7839
    @maricelmanongdo7839 8 лет назад +1

    Explanation is very concise, so helpful to grasp the concept of EFA. Thank you so much. Do you have something on canonical analysis

    • @dianamindrila8510
      @dianamindrila8510  8 лет назад

      Thank you, no I do not have anything on canonical analysis yet

  • @diyako4
    @diyako4 9 лет назад +1

    It was really helpful thank you.

  • @ranjithtp3783
    @ranjithtp3783 10 лет назад +2

    good video..very helpful.

  • @domrolando
    @domrolando 9 лет назад

    I am trying to do something quite similar: Identifying a mental health scale similar to the anxiety categories you generated here. The problem is that however I have categorical variables and not dummy variables. Should I convert those variables to dummies before doing the EFA?

    • @dianamindrila8510
      @dianamindrila8510  9 лет назад

      You need ordinal or binary variables to be able to run EFA. Having a larger number of categories is preferable. If you tell me more about the nature of your variables I could give you more specific suggestions.

    • @domrolando
      @domrolando 9 лет назад

      Diana Mindrila I currently have a set of variables from survey that asked respondents about multiple aspects of their mental health. These were usually ordinal with responses such as "often - never" or "Strongly agree - strongly disagree." What I want to do is to reduce those numerous variables using EFA. Do I need to convert those variables into dummies in order to do the EFA like you did? I am running stata if that is of any relevance to your answer. Thank you so much for the video and for replying.