Types of Effects

Fundamentals of Social Statistics

 

 

In ANOVA models, causes (IVs) are often called factors or effects.  SEMs use the effects language, and the types of effects can be informative.   A direct effect is a causal arrow directly from one variable to another.  With an indirect effect, the effect of one variable on another is through a third variable. For example, in Figure 43 above, variable 1 has a direct effect on variable 2, but variable 1 has an indirect effect on variable 3 (because it flows through variable 2).  The total effect, as you probably guessed, is equal to the direct plus the sum of indirect effects on a variable.


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Last Modified:  02/14/2019

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