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Thread: Moderation analysis assumptions and how to control them

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    Moderation analysis assumptions and how to control them




    Dear all,

    I am trying to do moderation analysis with Lisrel and working on my data set on SPSS. Can anyone share the assumptions of moderation analysis with me?

    Thanks a lot!

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    Re: Moderation analysis assumptions and how to control them

    I am guessing you mean "mediation".
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    Re: Moderation analysis assumptions and how to control them

    YHey! Thanks for answering. No, I meant moderation analysis. So as I found the onlycondition is there must be a relationship between the dependent and independent variable and the ones for regression analysis of course. However, I feel al little bit lost at this point. That is why I want to ask and see it as a list from a source and also find out the steps for controlling them.
    Thanks

    Quote Originally Posted by hlsmith View Post
    I am guessing you mean "mediation".

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    Re: Moderation analysis assumptions and how to control them


    No real rules. Effect modification is the same as interaction, which can be on the additive or multiplicative scale. Example, risk for lung cancer in persons exposed to cigarettes and asbestos potentially being bigger than individual effects. Effects can be synergistic or antagonistic, I guess there could be some unfaithfulness as well (conflicting effects).

    Usually address by controlling for both variables or stratifying.
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