Jamovi 1.2/1.6 Tutorial: MANOVA/MANCOVA (Episode 20)

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  • Опубликовано: 23 авг 2024
  • In this Jamovi tutorial, I go through a quick example on how to use the MANOVA/MANCOVA module/function that is found by adding the "More tests" module from the package library. Options include choosing which multivariate test to include and which assumption checks to include.
    Jamovi stats: www.jamovi.org/
    NOTE: This tutorial uses the current build of Jamovi, 1.6.16 on MacOS. Version 1.6 contains all the new features to the program as of this recording date. Version 1.6 is listed as their most stable build.
    Find me on Twitter: / profaswan
    Go to my website: swanpsych.com
    Twitch streams on psych & related topics: / cogpsychprof

Комментарии • 11

  • @Sonntagssoziologe
    @Sonntagssoziologe 2 года назад

    Thank you, I was very sad not to meet wilks lambda until now.

  • @jonathanpettibone627
    @jonathanpettibone627 Год назад

    Don't forget that with a IV that has three or more conditions, additional post hoc testing will be necessary. You can't do that directly in the MANOVA module in JAMOVI.

  • @Lessevie
    @Lessevie 4 месяца назад

    I have a question about this- for APA 7th ewdition do we have to report the partial eta sqaured for a MANOVA? if so how would we get this from Jamovi

    • @AlexanderSwan
      @AlexanderSwan  4 месяца назад

      I don’t think you can get that with the Jamovi MANOVA

  • @audedeclaf3385
    @audedeclaf3385 3 года назад +1

    Hello, how do you interpret the results of the mancova test? Like, how do you know which comparison (which subgroup?) is done? How can you conclude "This (which?) subgroup is significatively different from this (which?) subgroup?
    Thanks for your video!

    • @AlexanderSwan
      @AlexanderSwan  3 года назад +1

      These are great questions! I'll try my best to answer them in this short-reply format.
      I'm not sure I understand the first question, but overall, the MANOVA's initial stats (like Wilks' Lambda) is telling you about the linear combo of the DVs in the model. If that's significant, then you can explore single ANOVAs to find out where the effects/differences are in those particular DVs (by themselves). If the linear combo isn't sig, then it's possible the linear combo isn't a good fit OR there are no effects at all.
      For MANOVA, the conclusion you make is group differences on DVs, similar to the conclusions you make for ANOVAs by themselves. If you have a sig Lambda, then there's a diff between groups on the linear combo of the DVs. You investigate that future by doing post-hoc ANOVAs.
      I hope that helps answer your question(s)!

    • @christosbinos8467
      @christosbinos8467 2 года назад +1

      Though this pertains to different software, I find that SPSS is much better for MANOVAS. It allows you to do a series of posthoc analyses to address precisely those questions you ask, without having to manually conduct ANOVAS fore very possible combination. It will also plot the main effects for you.

  • @lowiedelasierra6582
    @lowiedelasierra6582 2 года назад

    This is great! I understand a lot from this.
    Can I use this data for my facilitation?

    • @AlexanderSwan
      @AlexanderSwan  2 года назад

      Hi! This data is available in the jamovi data library, so I imagine you can use it for your facilitation. It is titled "manova.csv" and can be found within the data library menu or through searching your computer.

  • @altealabita728
    @altealabita728 Месяц назад

    hi can you give me dataset that can be used for manova?

    • @AlexanderSwan
      @AlexanderSwan  Месяц назад

      All of the data I use in these videos can be either found through packages you install within the app or are my own personal data that I cannot share.