Tuesday, November 10, 2015

Mediator vs. Moderator variables


I have a co-author who is a psychologist. As we are collaborating on a paper, I found myself unclear about some of the terms, not just in psychology, but also in statistical analysis. One example is the concepts of mediator (mediating variable) and moderator (moderating variable).

As an economist, these two terms are foreign to me. But after googling them, they can be easily explained in terms of econometrics.

Psychologists use this concept of mediating variable to refer to the underlying psychological factor ($x_m$) that can explain why some external factor ($x_e$) lead to a change in a dependent variable ($y$).
Consider a regression of the dependent variable y on the independent variable $x_e$. If we add $x_m$ to the regression significantly change the direct effect of $x_e$, then $x_m$ can be considered as a mediating variable.





The concept of moderator variables, on the other hand, is closely related to interaction terms in econometrics. When we find that the effect of x1 on y depends on the value of x2, then we call x2 a moderator variable, and it has a moderating effect on the relationship between x1 and y. Moderators are usually categorical variables. Back to the above example, we find altruism x1 influences bidding behavior, but the effect is more pronounced for females. Then here gender x2 is a moderating variable that influences the relationship between altruism x1 and bidding in an all-auction y.

In a regression model,  the relationships between y, x1, and x2 can be expressed as the following relationship:
    $y = b_0 + b_1 x_1 + b_2 (x_1 \times x_2) + \epsilon$

The moderating effect of x2 is measured by b2.

P.S.: Biddings in all-pay auctions provide a measure of competitiveness. The above example is essentially saying that altruistic people are less likely to be competitive, but the effect is more significant for female. In other words, we can say that men seem to care less about the opponent in a competitive environment. How do we measure people's altruism? You can use a dictator game in the lab.


1 comment:

  1. I was happy to find your post. Like you, I was trying to bridge the language gap between econometrics and social science research methods, but from the opposite perspective. I was looking for a good way to explain mediation and moderation to my economist colleagues.

    Allow me to refine the explanation here a bit.

    In a mediation model, a mediator variable (Me) is used to explain the reason for the relationship between an independent (X) and a dependent variable (Y). The mediator acts as both a dependent and an independent variable.

    Using concepts from your example above, one may find a factor that they believe will explain the effect of Altruism (X1) on Placing High Bids (Y). Let's say that factor is Amount of Alcohol Consumed (Me). The way you would test this relationship is through structural equation modeling, which solves the regression equations (Y on X1, Y on Me, Me on X1) simultaneously. If mediation exists, the direct effect of X1 on Y is diminished.

    In moderation, a moderator variable (Mo) is used to explain the strength or direction of the relationship between an independent (X) and a dependent variable (Y). Moderators are generally more stable traits (such as gender). Your explanation of the regression test is spot-on.

    There is an excellent paper that clears up the difference and introduces more advanced concepts like mediated moderation and moderated mediation. It also shows conceptual diagrams and path diagrams, which helps if you are familiar with SEM.

    Wu, A.D. & Zumbo, B.D. Soc Indic Res (2008) 87: 367. doi:10.1007/s11205-007-9143-1

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