Does a multiple mediation only occur if an exogenous latent variable is mediated by at least two mediators, or does one also refer to multiple mediation in the case that one has multiple exogenous variables which are mediated by the same mediator (e.g., IV1 - M - DV and IV2 - M - DV)?
l have got a research with two potential mediators: M1 and Meters2. I get a major effect of my indie variable Times on the reliant adjustable Y. Similarly, I get an impact of Times on M1, but I perform not have got an effect of A on Meters2. Right now, I have got a mediation impact Back button - M1 - Y. Nevertheless, I hypothesised that Meters1 could effect Michael2 and that this could, in switch, impact Con i.at the. a model where X - M1 - M2 - Y. I do a SEM analysis where I compared the simple mediation design (X - M1 - Y), which has been a good match, with the even more complicated model (Times - M1 - M2 - Y), which was also a great suit. The versions were not really statistically different from each additional and both were a good match to the data.I was having problems interpreting this. Can I consider that the even more complicated model is usually a great match and a confirmation of my speculation also though a) both models are usually a good suit and w) I did not obtain an impact of A on Meters2? Any recommendations would end up being valued.
I possess used the lavaan package deal in R for all the route studies.
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