{smcl} {* *! version 1.0 05Dec2015} {cmd:help vaf} {hline} {title:Title} {p2colset 3 12 18 12}{...} {p2col :{hi:vaf }{hline 2}}VAF in mediation models with SEM{p_end} {p2colreset}{...} {pstd} A simple mediation model will include the following links: INDEPENDENT->MEDIATOR->DEPENDENT INDEPENDENT->DEPENDENT {title:Description} {pstd} {bf:vaf} computes the magnitude of the indirect effect in relation to the total effect. That is, {bf:vaf} computes the proportion of the variance of a dependent variable explained by an independent variable indirectly via a mediator variable/s. This means that the mediator/s variable absorbs some of the direct effect between the independent and dependent variable. The amount of indirect effect determines whether no/partial/full mediation takes place. {pstd} VAF < 20% indicates (almost) no mediation {pstd} 20% < VAF > 80% indicates partial mediation {pstd} VAF > 80% indicates (almost) full mediation KW: mediation KW: indirect KW: effect KW: SEM KW: variance {title:Examples} {phang}{stata "use http://www.stata-press.com/data/r14/sem_sm2.dta, clear": . use http://www.stata-press.com/data/r14/sem_sm2.dta, clear}{p_end} {phang}{stata . qui sem (Alien67->anomia67 pwless67)(Alien71->anomia71 pwless71)(SES->educ66 occstat66)(Alien67<-SES)(Alien71<-Alien67 SES)}{p_end} {phang}{stata "vaf": . vaf}{p_end} {phang}{stata . qui sem (F1->educ66 occstat66)(F2->anomia66 pwless66)(F3->anomia67 pwless67)(F4->anomia71 pwless71)(F2 F3<-F1)(F4<-F1 F2 F3)}{p_end} {phang}{stata "vaf": . vaf}{p_end} {phang}{stata . qui sem (F1->educ66 occstat66)(F2->anomia66 pwless66)(F3->anomia67 pwless67)(F4->anomia71 pwless71)(F3<-F1 F2)(F4<-F1 F2 F3)}{p_end} {phang}{stata "vaf": . vaf}{p_end} {title:Author} Mehmet Mehmetoglu Department of Psychology Norwegian University of Science and Technology mehmetm@svt.ntnu.no {title:References} {pstd} Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2013). A PRIMER ON PARTIAL LEAST SQUARES STRUCTURAL EQUATION MODELING (PLS-SEM). London: Sage.