Exploratory Factor Analysis (Principal Axis Factoring vs. Principal Components Analysis) in SPSS

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  • Опубликовано: 27 ноя 2024

Комментарии • 22

  • @lunas2551
    @lunas2551 Год назад +1

    Dr. Grande!! I watch your true crime RUclips channel. However, you just saved my PhD project with this very clear video. Thank you 🙏🙏

  • @AndrewMcNeillMusic
    @AndrewMcNeillMusic 5 лет назад +26

    Absolutely brilliant! So informative. You are helping a huge amount of people across the globe by doing these videos.

  • @kidssharon
    @kidssharon 8 лет назад +3

    Dr. Grande, you have been my main support for learning statistics and using SPSS for my research classes!
    Thank you for making all these helpful videos!
    Bless your heart and efforts!!~

    • @DrGrande
      @DrGrande  8 лет назад +3

      You're welcome, thanks for watching.

    • @kidssharon
      @kidssharon 7 лет назад

      just watching it again.
      so helpful for my com exam prep!!

  • @yuanzhang6080
    @yuanzhang6080 Год назад

    Thanks so much Dr, fantastic work!

  • @dr.dee_laish
    @dr.dee_laish 7 лет назад

    Hi Dr. Grande, I am doing maternal mental health assessment using the Global Mental Health Assessment Tool (GMHAT-PC). How do I apply EFA to analyse my data? Your video is very information but I would like to know if the same procedure and coefficient value consideration will be the same as in this video or not. Thank you.

  • @mdmahmudulhasan845
    @mdmahmudulhasan845 8 лет назад

    Thanks a lot for uploading this video. This is so much helpful.

  • @alirezaabdi2234
    @alirezaabdi2234 10 дней назад

    Excellent, Thanks

  • @charis9711
    @charis9711 Год назад

    Dr, thank you SO MUCH!!!!!!!

  • @stoneage8810
    @stoneage8810 8 лет назад +2

    Thank you so much for the video, i have a question about EFA, in the rotated component matrix, what if i have like 3 or 4 variables and they belong to one factor but their loading is fairly low (around 0.6), the other variables all have a loading at above 0.75, most around 0.8 in their factor column. So how do I deal with this factor with lower loadings ???

  • @leiwang4182
    @leiwang4182 6 лет назад +2

    Dear Dr. how you deal with cross-loading in your EFA results?
    There is one cross-loading in your video, so do you retain or delete that one?

  • @yanli1173
    @yanli1173 5 лет назад

    Thx for the video, it is really helpful!

  • @botagozakhmetzhanova2037
    @botagozakhmetzhanova2037 9 месяцев назад

    THANK YOU

  • @nadyadewolf6615
    @nadyadewolf6615 Год назад

    Dear Dr.Grande, I am currently doing research into wellbeing of a community, where I used 10 items to make up wellbeing, but also did a single item (WBwhole) where I asked respondents to rate their wellbeing as a whole on the same scale. It's been a while since our classes, so I'm confused what test I should use to test the correlation and significance of the 10 items to predict WBwhole, but also on each other? What test do I use to see which items contribute the most to WBwhole? Is this still exploratory fa or would a simple correlation matrix be sufficient? If you could help would be much appreciated, thank you!

  • @JoeyFelix
    @JoeyFelix Год назад

    Please which of the displayed do we include in our project work??

  • @sunnynaik6797
    @sunnynaik6797 3 месяца назад

    Anxiety 3 has crossed loading for component 2 and 3

  • @parikshitmandal8073
    @parikshitmandal8073 6 лет назад

    Thanks.......... Carry on

  • @Carbiriena
    @Carbiriena 8 лет назад

    hi, Dr. Grande
    I hope you can help me because I really need you assistance on how to calculate my data.
    So, I'm trying to calculate the significant difference in speaking achievement between the students' who have 3 different levels of speaking anxiety.
    Students' speaking achievement would be the dependent variable and the speaking anxiety would be the moderator variable
    What should I use in the SPSS statistics to calculate my data?
    Thanks!
    - Greetings from Indonesia

  • @kevinhurt9077
    @kevinhurt9077 5 лет назад

    What if determinant is not >.001?

  • @melodic_vibes88
    @melodic_vibes88 7 лет назад

    CFA would actually be more appropriate here.