Moderator analysis

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  • Опубликовано: 22 авг 2024
  • How to detect moderators in multiple regression on SPSS

Комментарии • 35

  • @katherinesterling_hall4892
    @katherinesterling_hall4892 4 года назад +2

    OMG you have made my day, of course! standardizing the variables is the same as having to centre, in debted :)

  • @tompowell4066
    @tompowell4066 10 лет назад +14

    this is even better with Ludovico Einaudi, In a time lapse, over the top

    • @quendeman1
      @quendeman1 5 лет назад

      genius advice!!

    • @Goldendinosaur
      @Goldendinosaur 4 года назад

      lol, sounds like one of those motivational speeches about the universe XD

  • @roflppp
    @roflppp 8 лет назад +1

    Thank you very much!! I missed the standardize part, then I got a result that cannot support my model. But after i standardized it, it can support my model.

  • @alexandrialaclair9256
    @alexandrialaclair9256 Год назад

    This video was very helpful; however, I think it would have been even more effective if you slowed down to explain the conclusions/reasons. Definitively gives me a better start though, thank you for the help!

  • @caviper1
    @caviper1 9 лет назад +7

    Would not be better to run the regression with all IVs standardized (not only the interaction term)?

  • @yegorzakharov8514
    @yegorzakharov8514 3 года назад

    Highly appreciate this!

  • @_Anonymous_9
    @_Anonymous_9 10 лет назад

    Cheers for uploading the vid. Very helpful.

  • @Hanney2010
    @Hanney2010 8 лет назад

    Thank you so much! Quite clear, I love it!

  • @maihanbakery1144
    @maihanbakery1144 8 лет назад +5

    I couldn't understand that which one is the moderating variable?

    • @ahmadrosli207
      @ahmadrosli207 5 лет назад +1

      GSR is the moderating variable. When X1 and X2 are non-significantly related to the DV, and when including the moderator variable (X1*X2) one of them drops out (becomes non-significant) whilst the other becomes significant, the first one is the moderator

  • @DrTomTonkin
    @DrTomTonkin 11 лет назад

    Thank you for your video. This was very helpful today. I have subbed

  • @gustaxhosy5039
    @gustaxhosy5039 3 года назад

    Great video. Do I need to use the standardized scores of the DV in multiple regression?

    • @GoldsmithsStats
      @GoldsmithsStats  3 года назад +1

      Thanks! No, multiple regression done in the usual way - with independent IVs - works just fine with the untreated DV.

    • @gustaxhosy5039
      @gustaxhosy5039 3 года назад

      @@GoldsmithsStats thank you ~

  • @marianruiz4573
    @marianruiz4573 2 года назад

    Thank you!! Very helpful

  • @Mspinkgirl500
    @Mspinkgirl500 11 лет назад +1

    How will I analyze a dichotomous moderator, (IV and DV are continous) using SPSS? Do i need to center my moderator? pls. help. Thanks.

  • @Caske11
    @Caske11 5 лет назад

    Do you also have to standardize the dependent variable?

  • @karlaveras1793
    @karlaveras1793 3 года назад

    why dont you need dummy variables for the experience levels?

  • @shiraevamarshall8507
    @shiraevamarshall8507 3 года назад

    Thank you Rory !

  • @NewManagementEra
    @NewManagementEra 8 лет назад +2

    Hi Rory, may you please give an academic reference regarding the method that you follow?
    Thanks in advance.

  • @farheenanjum9629
    @farheenanjum9629 3 года назад

    hello..I want to ask that if our moderation value is in minus such as,
    (-.224*** )

  • @scpanandikar
    @scpanandikar 7 лет назад

    If I get GSR, Experience and interaction (GSR*Experience) as significant in Anova, what is the explanation? Thanks in advance.

  • @MsEC1989
    @MsEC1989 11 лет назад

    Thank you! =) Very clear explanation

  • @jaykenarn6223
    @jaykenarn6223 3 года назад

    what's multicollinearity?

  • @colourmechristy
    @colourmechristy 7 лет назад +1

    Does anyone know how to do this test but with multiple moderators?

  • @thudang5603
    @thudang5603 4 года назад

    This is amazing. Thank you.

  • @emmah6216
    @emmah6216 11 лет назад

    Excellent, thank you.

  • @JoyJoy-jv7ss
    @JoyJoy-jv7ss 9 лет назад

    very helpful...thanks

  • @SM-bx4ur
    @SM-bx4ur 3 года назад

    THANK U SO MUCH

  • @VeraSvenningson
    @VeraSvenningson 8 лет назад

    ...thank you!

  • @xuantruongpham1399
    @xuantruongpham1399 3 года назад

    Nói nhiều quá

  • @sciserr
    @sciserr 11 лет назад

    #oyoloswag

  • @sciserr
    @sciserr 11 лет назад

    420cutforbieber