One Factor vs. Two Factor ANOVA [One Way vs Two Way]

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  • เผยแพร่เมื่อ 25 ส.ค. 2024
  • What is a factor in a Analysis of variance? A factor is, for example, the gender of a person with the characteristics male and female, the form of therapy used for a disease with therapy A, B and C or the field of study with, for example, medicine, business administration, psychology and math.
    In the case of variance analysis, a factor is a categorical variable. You use an analysis of variance whenever you want to test whether these categories have an influence on the so-called dependent variable.
    Tutorial:
    datatab.net/tu...

ความคิดเห็น • 28

  • @datatab
    @datatab  ปีที่แล้ว +1

    If you like, please find our e-Book here: datatab.net/statistics-book 😎

  • @diananazaryan
    @diananazaryan ปีที่แล้ว +5

    Love your videos. Very clear and to the point. Thanks!

    • @datatab
      @datatab  ปีที่แล้ว

      Many thanks : ) Hannah

  • @berhanetedla
    @berhanetedla ปีที่แล้ว +7

    Incisive professor. I was struggling to compensate my weak professor's lecture then I stumble on this lambent professor. She knows exactly what is she talking about: so lucid, so informative, so abridged, so aplomb, so magnanimous and so on. I would recommend my fellow friends.

    • @datatab
      @datatab  ปีที่แล้ว +1

      Many thanks! : )

  • @ne4383
    @ne4383 2 ปีที่แล้ว +5

    Crystal clear. Thanks

    • @datatab
      @datatab  2 ปีที่แล้ว

      Thanks : )

  • @topcoolest
    @topcoolest ปีที่แล้ว +2

    Well explained 🎉🎉🎉 love ❤ it.i was struggling and u made it clear.

  • @user-yo3bs8cb5w
    @user-yo3bs8cb5w 5 วันที่ผ่านมา

    Like your teaching

  • @margaritacoppard4487
    @margaritacoppard4487 29 วันที่ผ่านมา

    Thank you! Thank you! Thank you!

  • @kellysamons3722
    @kellysamons3722 หลายเดือนก่อน

    Thank you. Good makes sense

  • @wisey2558
    @wisey2558 6 หลายเดือนก่อน +1

    Excellent explanation!

    • @datatab
      @datatab  6 หลายเดือนก่อน

      Glad it was helpful!

  • @fatemeh-h
    @fatemeh-h 3 หลายเดือนก่อน +1

    The explanation was wonderful ✨️

    • @datatab
      @datatab  3 หลายเดือนก่อน

      Glad it was helpful!

  • @manisankarjana3617
    @manisankarjana3617 7 หลายเดือนก่อน

    Thanks a lot, Ma'am 😊

  • @onyx8620
    @onyx8620 2 ปีที่แล้ว

    Thanks a million for your great explanation.

  • @arjundhamalaofficial
    @arjundhamalaofficial ปีที่แล้ว

    Good explanation

  • @ritesh_b
    @ritesh_b ปีที่แล้ว

    please upload videos on deep learning maths intuition

  • @larissacury7714
    @larissacury7714 2 ปีที่แล้ว +1

    thank you!

    • @datatab
      @datatab  2 ปีที่แล้ว

      You're welcome!

  • @ayasarsour2860
    @ayasarsour2860 ปีที่แล้ว

    Thank you

  • @catherinelee9723
    @catherinelee9723 ปีที่แล้ว +1

    Is one way anova= one factor anova?
    And two way anova= two factor anova?
    Googling this for a long time but to no avail, appreciate your help

    • @meghnasingh7323
      @meghnasingh7323 5 หลายเดือนก่อน

      Yes it is same thing

  • @md.deluwarhoque2423
    @md.deluwarhoque2423 2 ปีที่แล้ว +1

    brilliant

  • @yohanesb.1728
    @yohanesb.1728 ปีที่แล้ว

    dear prof,
    I want to test whether public exposure (IV2) to norm violations and relations with perpetrators (IV 1) of norm violations have an effect on observer vicarious embarrassment (VE).
    So there are two factors that cause VE, namely public exposure and relations with perpetrators of norm violations. Public exposure has two levels, namely (a) there is exposure and (b) there is no exposure/quiet. Level relationships: (a) Friends and (b) strangers. I'm planning to use a vignette to get the VE data. My question is:
    1). Should the vignette show two directly interacting variables such as: "My friend (IV2) spoke loudly in the library and was seen by many people (IV1), how embarrassed are you for her actions?" or
    2) vignette only contains information for each level independently. Examples in friendship relationships: My friend (IV1) spoke loudly in the library, how embarrassed are you for what he did?, Someone you don't know (IV1) spoke loudly in the library how embarrassed were you for what he did?
    I think that to get the main effect, the simulation is carried out per level, and then a statistical test of the interaction between IV1 and IV2 is carried out.
    Meanwhile, if the vignette contains two IVs that interact directly with each other, such as (friends x public exposure), (foreigners x public exposure), then this has directly tested the interaction effect so that the main effect for each IV is not obtained. Is my thinking correct?
    The analysis is repeated measures for 4 different conditions.
    thank you for your kindness.